Dr. Zhiming Zhao home page

System and network engineering

University of Amsterdam

Email: z.zhao@uva.nl

Tel: +31 20 5257599

Office:

 C.3.145

 Science park 904, 1098XH Amsterdam

 the Netherlands

We are looking for

1.     Part time programmers

2.     Post doctors

3.     PhD students...

About me

Research

Projects

Vacancy

Events

Activities

Publications

Lists

Software

Notes

About me                     

Recent activities

1.     DI4R 2018, Visits SIOS, IAGOS and ACTRIS.

...

I am currently an assistant professor and senior researcher in the group of System and Network Engineering (SNE) at University of Amsterdam (UvA). I obtained my bachelor and master degrees in Computer Science from Nanjing Normal University (NJNU) and East China Normal University (ECNU) in 1993 and 1996 in China respectively. I obtained a Ph.D. in Computer Science from University of Amsterdam (UvA) in 2004. My research focuses on novel programming and control models for quality critical systems on programmable infrastructures by using optimization, semantic web linking, and artificial intelligence technologies. I lead the team of “Quality Critical Applications on Programmable Infrastructure” in the context of System and Network Engineering research group.

Since 2014, I obtained more than 3M euro funding from the EU H2020 research program to support my research activities in UvA. I am the scientific coordinator of the project SWITCH (Software Workbench for interactive time critical and highly self-adaptive cloud applications). I am the leader of the Data for Science theme in the environmental science cluster project ENVRI^PLUS and lead the technical development work package in its follow up project ENVRI^FAIR. I also lead the infrastructure development in the ARTICONF project, and the research tasks of research sustainability in the VRE4EIC project. I was involved in a number of other projects, such as the EU FP7 ENVRI project.

Research: Quality Critical Applications on Programmable Infrastructures                                                                             

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In both scientific and industrial contexts, there are distributed application systems which

1.     have very high business value (e.g. on-demand business collaboration platforms), or social impact (e.g. for early warning of disasters); and

2.     have very critical requirements for Quality of Service (QoS) (e.g. tsunami emergency response time) or quality of experience (QoE) (e.g. delivery of ultra-high definition television, or collaborative business interactions); but

3.     are very difficult to develop and operate because of their distributed nature and the high requirements for the runtime environment, and in particular the sophisticated optimization mechanisms needed for developing and integrating the system components.

Cloud environments provide virtualized, elastic, controllable and quality on-demand services for supporting complex application systems. However developing, deploying and executing quality-critical applications in programmable infrastructure is still difficult and challenging due to a lack of effective programming and control mechanisms.

My research interests have revolved around modeling, developing, controlling and optimizing such Distributed Quality-Critical Systems. I specifically focus on novel models for programming, executing and optimizing such applications on programmable infrastructures, such as Cloud- and software-defined networking technologies. My basic approach is to use autonomous agent technologies to decompose system complexity, to develop distributed control and optimization intelligence by combining both application logic and infrastructure programmability, and to investigate self-adaptable cooperative control models for Cloud-based quality-critical systems.

Leader: Dr. Zhiming Zhao 

Researchers:

o   Dr. Paul Martin, Semantic information linking (2015-)

o   Dr. Arie Taal, Time critical applications (2016-)

o   Dr. Xiaofeng Liao, Alignment, annotation (2017-)

o   Dr. Spiros Koulouzis, DRIP and use cases (2017-)

o   Dr. Piet Kommers, Exploitation (2017)

Ph.D. students:

o   Zeshun Shi, Virtual infrastructure optimization (2018-)

o   Junchao Wang, Virtual Infrastructure planning (2015-)

o   Hu Yang, Time critical application deployment (2015-)

o   Huan Zhou, Virtual infrastructure provisioning and DevOps (2015-)

Master students:

o   Jordy Bottelier, Master thesis, Semi-Automatic schema matching: challenges and a composable match based solution, 2018, [doi:10.5281/zenodo.1419496].

o   Jordan Maduro, Master thesis, Towards a taxonomy for quality control in environmental sciences, 2018, [doi:10.5281/zenodo.1419494].

o   Ewoud Bouman Bachelor thesis, Characterizing access patterns from ftp logs: a case study on Euro-Argo research infrastructure, 2018, [doi:10.5281/zenodo.1419490].

o   Rahaf Mousa, RP, Application aware digital object distribution using ICN, 2017, [doi:10.5281/zenodo.889740]

o   Carlos Acosta, Master thesis, Reference model based smart architecture design, 2017 [doi:10.5281/zenodo.889748]

o   Olaf Elzinga, RP, Dynamic cloud performance information, 2017 [doi:10.1109/NAS.2017.8026845]

o   Ryan Mork, PIRE, Big data oriented workflow, 2015 [doi:10.1145/2822332.2822336]

o   Fatemeh Abyarjoo, PIRE*, Architecture for Cloud IoT, 2014

o   Andreas Karakannas, RP, Information Centric Networking and PID, 2014 [doi:10.5281/zenodo.889603]

o   Stavros Konstantaras, RP, SDN for big data science, 2014 [doi:10.5281/zenodo.889699]

o   Ioannis Grafis, RP, SDN for big data science, 2014[doi:10.5281/zenodo.889699]

o   Wenchao Jiang, Postdoctor/Guest, SDN and NSI, 2013 [doi:10.1109/NAS.2013.53]

o   Dimitar Pavlov, RP, Energy efficient cluster computing, 2012 [doi:10.5281/zenodo.889752]

o   Joris Soeurt, RP**, Energy efficient cluster computing, 2012[doi:10.5281/zenodo.889752]

o   Dimitry Prapas, Master thesis, JADE in Grid workflow, 2009

o   Suresh Booms, Master thesis***, Agent architecture for workflow interoperability, 2006 

*PIRE: The Open Science Data Cloud (OSDC) NSF-sponsored Partnerships for International Research and Education (PIRE) program: http://pire.opensciencedatacloud.org/ 

**RP: SNE OS3 master program, research project: http://www.delaat.net/rp

*** Master program, typically 3 month duration 

Projects                                                               

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Current projects

1.     Work package leader, EU H2020 ARTICONF (smART socIal media eCOsytstem in a blockchaiN Federated environment). It has received funding from European Union Horizon 2020 research and innovation program under grant agreement No 825134. H2020-ICT-2018-2 call. Duration: January 2019-December 2021.

2.     Work package leader, EU H2020 ENVRI^FAIR (ENVironmental Research Infrastructures building Fair services Accessible for society, Innovation and Research). It has received funding from European Union Horizon 2020 research and innovation program under grant agreement No 824068. H2020-INFRAEOSC-2018-2 call. Duration: January 2019-December 2022.

3.     Scientific coordinator, EU H2020 SWITCH (Software Workbench for Interactive, Time Critical and Highly self-adaptive cloud applications). It has received funding from the European Union Horizon 2020 research and innovation program under grant agreement No 643963 (SWITCH project). H2020-ICT 9-2014-1 call: Tools and methods for software development. Duration: February 2015- January 2018. (Newsletter in IvI)

4.     Leader of the Data for Science Theme: EU H2020 ENVRI^PLUS (ENVironmental Research Infrastructures Providing shared soLUtions for Science and society). It was granted in 2015 (No. 654182 ) under call. The total funding is 15Meuro, UvA shares 841Keuro. We will lead the Data for Science theme (theme 2), which contains five work packages and has 5M euro budget (News letter in IvI, ENVRIPLUS, EGI). Duration: May 2015- April 2019, Project website: www.envriplus.eu. 

5.     Leader of the task VRE and RI, EU H2020 VRE4EIC (A Europe-wide interoperable Virtual Research Environment to Empower multidisciplinary research communities and accelerate Innovation and Collaboration). It has been granted under call H2020-EINFRA-2015-1. The total budget is 4.3M Euro, and UvA shares 450K Euro. Grant number 676247. Duration October 2015- September 2018. (Newsletter in IvI)

Past projects

1.     EU FP7 ENVRI. Task leader, task 3.4: linking data and infrastructure - Common operations of Environmental Research Infrastructure (ENVRI). Grant number 283465.

2.     EU FP7 Geysers, Researcher Generalised Architecture for Dynamic Infrastructure Services

3.     Gigaport/CineGrid, Researcher. Including network QoS in planning Workflows. 

4.     Dutch Virtual Laboratory for e-Science (VL-e), 2005-2009

5.     EU FP 6 CrossGrid, 2004-2005

Open positions            

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Please feel free contact me for details.

1.     We are looking for part time programmers.

2.     Open phd/post doc positions in big data infrastructures and applications.

3.     We welcome CSC (Chinese Scholar Council) funded students

Events

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Workshop organizer/co-organizer

1. Zhao, Z., et al., International workshop on interoperable infrastructures for interdisciplinary big data sciences (IT4RIs)
1. 1^st IT4RIs, in conjunction with IEEE e-Science 2015, Munich, Germany
2. 2^nd IT4RIs, in conjunction with IEEE RTSS (Real-time System Symposium) 2016, Porto, Portugal
3. 3^rd IT4RIs, in conjunction with Amsterdam HPC 2018, Amsterdam, the Netherlands
2. Zhao, Z., Keith, J., Magagana, B., Stocker, M., Martin, P.,

1.     Special session: Using heterogeneous environmental data for system-level science, 2018, Vienna, EGU

3. Chen, Y., et al., Zhao, Z., Session on Towards Environmental Research Infrastructure as a Service for the Open Science Cloud

1.     in Digital Infrastructure for research 2016, Krakow, Poland

2.     in Digital Infrastructure for research 2017, Brussels, Belgium

4. Zhao, Z., et al., International workshop on Workflow Systems in E-Sciences (WSES),
1. 1^st WSES, in conjunction with ICCS 2006, Reading, UK
2. 2^nd WSES, in conjunction with ICCS 2007, Beijing, China
3. 3^rd WSES, in conjunction with IEEE CCGrid 2008, Lyon, France
4. 4^th WSES, in conjunction with IEEE CCGrid 2009, Shanghai, China
5. Belloum, A., Bubak, M., Zhao, Z., International Workshop on Applications of workflows in Computational Science (AWCS) 
1. AWCS, in conjunction with ICCS, 2008
6. Belloum, A., Zhao, Z., et al, International Workshop on Scientific Workflows and Business Workflow Standards in e-Science (SWBES),
1. 1^st SWBES, in conjunction with IEEE e-Science 2006, Amsterdam, the Netherlands
2. 2^nd SWBES, in conjunction with IEEE e-Science 2007, Bangalore India
3. 3^rd SWBES, in conjunction with IEEE e-Science 2008, Indianapolis, USA

Workshop/Panel chair

1. Panel Co-Chair, International conference on High Performance Computing and Simulation (HPCS 2015, Amsterdam)
2. Workshop Chair, International conference on Network and Distributed Computing (ICNDC 2010-2013, 2015, 2016)

Program committee

1. IEEE International conference on Advanced Information Networking and Applications (AINA 2017)
2. IEEE International conference on e-Science (2014, 2015, 2016, 2017)
3. IEEE International conference on Ubiquitous Computing and Communication (IUCC, 2011, 2013, 2015, 2016, 2017)
4. IEEE International conference on Internet of Things and Cloud (FiCloud, 2016)
5. International conference on Smart Data (2016, 2017)
6. Workshop on Management of resources and services in Cloud and Sky computing (MICAS, 2016)
7. W3C – VRE4EIC Workshop on Smart Descriptions & Smarter Vocabularies (SDSVoc, 2016)
8. IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom, 2014)
9. International Workshop on Workflow Models, Systems, Services and Applications in the Cloud (2012-2014)
10. The 11th IEEE International Conference on Computer and Information Technology (2011)
11. The IET International Conference on Frontier Computing– Theory, Technologies and Applications (2010)
12. International Workshop on Scientific Workflows (2009-2011)

Recent activities and agenda [Photos]

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• 2018, September 11, ICOS science conference, Prague
• 2018, August 31, EuroPar, Turin, Italy
• 2018, August 20, Fudan Data Science lab visit, China
• 2018, May 14-18, ENVRI week, Zandvoort, NL
• 2018, May 1-3, IEEE CCGrid, Washington, USA
• 2018, April, EGU, Vienna, Austria
• 2018, March 20/21, SWITCH, final project review, Brussels, Belgium
• 2018, February, VRE4EIC project meeting, Barcelona, Spain
• 2018, February, ENVRIPLUS/D4Science workshop, Pisa, Italy
• 2018, January, 18 IT4RIs Amsterdam, the Netherlands
• 2017, December 20, Zhejiang Sci&Tech Uni. Hangzhou, China
• 2017, December 14, Smart Agriculture Summit, Shanghai, China
• 2017, December 10-13, CloudCom, Hongkong, China
• 2017, December, 5-6, ICOS site visit, Lunk, Sweeden
• 2017, November, 9-10, ICT proposers’ day, Budapest, Hungary
• 2017, November, 6-8, ENVRI week, Malaga, Spain
• 2017, October, ANAEE site visit, Paris, France
• 2017, September 11-15, VRE4EIC-EPOS-ENVRIPLUS, Rome, INGV, Italy
• 2017, August 30-Sept 1, Euro-par 2017, Spain
• 2017, August 21-25, Shanghai Agricultural Cloud, China
• 2017, August 7-8, IEEE Network, Architecture and Storage (NAS), Shenzhen, China
• 2017, July 11-14, Ontology and semantic web for research, Lecce, Italy
• 2017, June 30, Talk, Visit Luxembourg University
• 2017, June 28-29, VRE4EIC project review, Luxembourg
• 2017, June 12, RDA Summer school, Helsinki, Finland
• 2017, June 5-9, SWITCH technical meeting, Cardiff, UK
• 2017, May 14-19, ENVRIPLUS midterm review, Grenoble, France [Video demo]
• 2017, April 6-7, ENVRIPLUS/EuroArgo meeting, Brest, France
• 2017, March 20-21, SWITCH 2^nd review, Brussels, Belgium [Video demo]
• 2017, March 8-10, ENVRIPLUS/LTER meeting, Vienna, Austria
• 2017, March 6-7, VRE4EIC meeting, Rome, Italy
• 2017, January 25, EUDAT user forum, Helsinki, Finland
• 2017, January 19, EC e-Infrastructure proposer day, Amsterdam
• 2017, January 11-13, VRE4EIC project meeting, Nice, France
• 2016, December 12-15, SWITCH project meeting, Ljubljana, Slovenia
• 2016, November 30-December 2, IT4RIs, IEEE RTSS, Porto, Portugal
• 2016, November 14-18, ENVRI week, Prague, Czech
• 2016, November 9, CLASS, Ljubljana, Slovenia [PPT]
• 2016, October 18-20, CloudForward 2016, Madrid, Spain
• 2016, September 28-30, Digital Infrastructure for research, Krakow, Poland [PPT]
• 2016, September 26-27, ICT proposers day, Bratislava, Slovakia
• 2016, September 21, ENVRI^PLUS executive board meeting, Berlin, Germany
• 2016, September 13, EMBRC workshop, Brussels, Belgium
• 2016, September 8-9, VRE4EIC project meeting, Heraklion, Greece
• 2016, August 10, Shanghai Agricultural Cloud Platform workshop, Shanghai, China
• 2016, June27-July 2, IEEE Cloud/Service/BigData, San Francisco, USA.
• 2016, June 14-16, VRE4EIC project meeting in Delft, the Netherlands
• 2016, June 13, AppHub workshop, Berlin, Germany
• 2016, June 6-9, SWITCH project meeting, Bucharest, Romania
• 2016, May 9-13, ENVRI week, Zandvoort, the Netherlands
• 2016, April 18, European Geosciences Union General Assembly (EGU), Vienna, Austria
• 2016, March 23, Cloud computing projects and initiatives (CCPI) in AINA 2016, Switzerland [PPT]
• 2016 March 3, ANAEE Int'l Conf. invited talk, Paris, France [PPT]
• 2016 March 2, SWITCH 1^st review, Brussels, Belgium
• 2016 February 15-17, VRE4EIC, Pisa, Italy
• 2016 January 11-16, Visit Wuhan, Changsha, Guangzhou and Shanghai, China

See more details.

Publications

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Journals

1. Wenchao Jiang, Yinhu Zhai, Zhigang Zhuang, Paul Martin, Zhiming Zhao, Jiabao Liu (2018) An efficient method of generating deterministic small-world and scale-free graphs for simulating real-world networks, IEEE Access [doi:10.1109/ACCESS.2018.2875928]
2. Wenchao Jiang, Yinhu Zhai, Zhigang Zhuang, Paul Martin, Zhiming Zhao, Jia-Bao Liu (2018) Vertex labeling and routing for Farey-type symmetrically-structured graphs, Symmetry in Computing Theory and Application, Preprints 2018, 2018080007 [doi:10.3390/sym10090407]
3. Wenchao Jiang, Yinhu Zhai, Paul Martin, Zhiming Zhao (2018) Structure Properties of Generalized Farey graphs based on Dynamical Systems for Networks, Scientific Reports, volume 8, Article number: 12194 [doi.org:10.1038/s41598-018-30712-2]
4. Jin Li, Yun Yang, Xiaoling Wang, Zhiming Zhao, Tong Li (2018) A novel parallel distance metric-based approach for diversified ranking on large graphs, Future Generation Computer Systems, Available online 25 May 2018, ISSN 0167-739X, [doi:10.1016/j.future.2018.05.031].
5. Taherizadeh, S., Jones, A., Taylor, I., Zhao, Z., Stankovski, V.(2018), Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review, Journal of system and software. [doi:10.1016/j.jss.2017.10.033]
6. Wang, J., Taal, A., Martin, P., Hu Y., Zhou, H., Pang, J., de Laat, C., Zhao, Z. (^*) (2017) Planning Virtual Infrastructures for Time Critical Applications with Multiple Deadline Constraints, International journal of Future Generation Computer System, volume 75, page 365-375. [doi:10.1016/j.future.2017.02.001]
7. Koulouzis, S., Belloum, A., Bubak, M., Zhao, Z., Zivkovic, M., de Laat, C. (2015) SDN-Aware Federation of Distributed Data, International journal of Future Generation Computer System [doi:10.1016/j.future.2015.09.032].
8. Zhu, H., van der Veldt, K., Zhao, Z., (^*) Grosso, P., Pavlov, D., Soeurt, J., Liao, X., de Laat, C. (2015) A semantic enhanced Power Budget Calculator for distributed computing using IEEE 802.3az, International Journal of Cluster Computing Volume 18, Issue 1, Page 61-77 [doi:10.1007/s10586-014-0395-7] (Impact factor 1.5). 
9. Ghijsen, M., Ham, J. van der, Grosso, P., Dumitru, C., Zhu, H., Zhao, Z., de Laat, C. (2013). A semantic-web approach for modeling computing infrastructures. Computers & Electrical Engineering, 39(8), 2553–2565. [doi:10.1016/j.compeleceng.2013.08.011]
10. Zhao, Z., Grosso, P., Ham, J. van der, Koning, R. & de Laat, C. (2011). An agent based network resource planner for workflow applications. International journal of Multi-agent and Grid Systems, 7(6), 187-202. [doi: 10.3233/MGS-2011-0180]
11. Belloum, A.S.Z., Inda, M. A., Vasunin, D., Korkhov, V., Zhao, Z., Rauwerda, H., Breit, T., Bubak, M.T. & Hertzberger, B. (2011). Collaborative e-Science Experiments and Scientific Workflows. IEEE Internet Computing, 15(4), 39-47. [doi:10.1109/MIC.2011.87]
12. Zhao, Z., Albada, G.D. van & Sloot, P.M.A. (2005). Agent-based flow control for HLA components. International Journal of Simulation Transaction. 81(7), 487-501.[doi: 10.1177/0037549705058060]
13. Kommers, P. and Zhao, Z. (1998): Conceptual Support with Virtual Reality in Web-based Learning, International Journal of Continuing Engineering Education and Life-Long Learning, vol. 8, nr 1 1998. ISSN 0957-4344. [doi:10.1504/IJCEELL.1998.030134]

Editorial (special issues and proceedings)

14.  Zhao, Z., Altmeyer, S., Keith J., Atkinson, M. and Ulisses A. (2016), Nearly real time data processing and time critical cloud applications, Proceedings of the 2^nd International workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 16), in the context of IEEE Real-time System Symposium (RTSS), Porto, Portugal, November 29-December 2, 2016. [doi:10.5281/zenodo.204685]

15. Lu, S., Deelman, E. & Zhao, Z. (2010). Scientific workflows special issue. International journal of business process integration and management (pp. 1-2). Inder science Enterprises Ltd. [Full text]
16. Zhao, Z., Belloum, A.S.Z., &Bubak, M. (Eds.). (2009). eScience workflow systems and applications, Future Generation Computer Systems, 25 (5): 52. [doi:10.1016/j.future.2008.10.011]
17. Belloum, A., Deelman, E. & Zhao, Z. (2006). Scientific workflows. Scientific Programming, 14(3-4), 171-171. [Full text]

Book chapters

18. Martin, P., Chen, Y. Hardisty, A., Jeffery, K., and Zhao, Z. (^*) (2017), Computational Challenges in Global Environmental Research Infrastructures in the book of Terrestrial Ecosystem Research Infrastructures: Challenges, New developments and Perspectives. [ISBN 9781498751315].
19. Zhao, Z. (^*), Grosso, P., Ham, J. van der, Koning, R. & de Laat, C. (2012). Quality guaranteed media delivery over advanced network, chapter in book Next Generation Content Delivery Infrastructure: Emerging Paradigms and Technologies, IGI, ISBN 978-1-4666-1794-0[doi: 10.4018/978-1-4666-1794-0.ch006].

Conferences

20.  Huan Zhou, Spiros Koulouzis, Yang Hu, Junchao Wang, Alexandre Ulisses, Cees de Laat and Zhiming Zhao (2018) Migrating live streaming applications onto clouds: challenges and a CloudStorm solution, 1st Workshop on Cloud-Native Applications Design and Experience, 11^th IEEE/ACM conference on Utility and Cloud Computing, Zurich Switzerland [to appear].

21.  Huan Zhou, Cees de Laat, and Zhiming Zhao (2018) Trustworthy Cloud Service Level Agreement Enforcement with Blockchain based Smart Contract, International workshop on resource brokering with blockchain (RBChain), in the context of IEEE CloudCom, Cyprus [to appear].

22.  Yang Hu, Huan Zhou, Cees de Laat, C., and Zhiming Zhao (2018) ECSched: Efficient Container Scheduling on Heterogeneous Clusters, proceedings of the Euro-Par 2018 Conference August, [doi.org:10.1007/978-3-319-96983-1_26]

23.  Yiqing Qin, Mingmin Chi, Xuan Liu, Yunfeng Zhang, Yijian Zeng and Zhiming Zhao (2018) Classification of high resolution urban remote sensing images using Deep networks by integration of social media photos, International Geoscience and remote sensing symposium, Valencia, Spain, July 22-27 [to appear]

24.  Huan Zhou, Yang Hu, Jinshu Su, Cees de Laat and Zhiming Zhao (2018) CloudsStorm: An Application-driven Framework to Enhance the Programmability and Controllability of Cloud Virtual Infrastructures, International conference on Cloud, June 25-30, Seattle, USA [doi.org:10.1007/978-3-319-94295-7_18]

25.  Huan Zhou, Yang Hu, Jinshu Su, Cees de Laat and Zhiming Zhao (2018) Empowering Dynamic Task-based Applications with Agile Virtual Infrastructure Programmability, IEEE International conference on Cloud, July 2-7, San Francisco, USA [doi.org:10.1109/CLOUD.2018.00068]

26.  Paul Martin, Laurent Remy, Maria Theodoridou, Keith Jeffery and Zhiming Zhao (2018) Mapping metadata from different research infrastructures into a unified framework for use in a virtual research environment, 10th International Workshop on Science Gateways (IWSG 2018), 13-15 June 2018 [to appear]

27.  Huan Zhou, Arie Taal, Spiros Koulouzis, Junchao Wang, Yang Hu, George Suciu Jr., Vlad Poenaru, Cees de Laat  and Zhiming Zhao (2018) Dynamic real-time infrastructure planning and deployment for disaster early warning systems, in the workshop on Data, Modeling, and Computation in IoT and Smart Systems, International Conference on Computational Science (ICCS), Wuxi, China [doi.org:10.1007/978-3-319-93701-4_51].

28.  Spiros Koulouzis, Rahaf Mousa, Andreas Karakannas, Cees de Laat, Zhiming Zhao (2018) Information Centric Networking for Sharing and Accessing Digital Objects with Persistent Identifiers on Data Infrastructures, in the 3rd International Workshop on Distributed Big Data Management, in the context of IEEE CCGrid, Washington, US [doi 10.1109/CCGRID.2018.00098].

29.  Huan Zhou, Cees de Laat, and Zhiming Zhao (2018). “Cloudsstorm: An Application-driven Devops Framework for Managing Networked Infrastructures on Federated Clouds”. The 3^rd International workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 18), January 18, Amsterdam, the Netherlands. [doi:10.5281/zenodo.1162914].

30.  Zhao, Z., Martin, P., Jones A., Taylor. I, Stankovski, V., Sala-do. G., Suciu, G., Ulisses, A., de Laat, C., (2017) Developing, provisioning and controlling time critical applications in Cloud, EU Project tracks at ESOCC17, Oslo, Norway. Springer CCIS [doi.org:10.1007/978-3-319-79090-9_14].

31.  Koulouzis, S., Martin P., Carval, T., Grenier, B., Judeau, G., Wang, J., Zhou, H., de Laat, C., Zhao, Z(*). (2017) Seamless Infrastructure Customisation and Performance Optimisation for Time-critical Services in Data Infrastructures, in proceedings of the Eighth International Workshop on Data-Intensive Computing in the Clouds, in the context of Supercomputing, Denver, U.S., ACM SIGHPC [to appear].

32.  Wang, J., Zhou, H., Hu, Y., Laat, C., and Zhao, Z. (2017) Deadline-Aware Coflow Scheduling in a DAG, NetCom workshop in the context IEEE CloudCom, Hongkong, December [doi:10.1109/CloudCom.2017.55].

33.  Hu, Y., Wang, J., Zhou, H., Martin, P., Taal, A., de Laat, C., and Zhao, Z. (2017) Deadline-aware Deployment for Time Critical Applications in Clouds, proceedings of the Euro-Par 2017 Conference in Santiago de Compostela, August 30- September 1, 2017 [doi:10.1007/978-3-319-64203-1_25]

34.  Elzinga, O., Koulouzis, S., Hu, Y., Wang, J., Zhou, H., Martin, P., Taal, A., de Laat, C., and Zhao, Z (2017), Automatic collector for dynamic cloud performance Information, IEEE Networking, Architecture and Storage (NAS), Shenzheng, China, August 7-8, 2017 [doi:10.1109/NAS.2017.8026845]

35.  Wang, J., de Laat, C., and Zhao, Z. (2017) QoS-Aware Virtual SDN Network Planning, IFIP/IEEE International Symposium on Integrated Network Management, Lisbon, Portugal, May 8-12, 2017 [doi:10.23919/INM.2017.7987350].

36.  Zhao, Z., Martin, P., de Laat. C., Jeffery, K., Jones, A., Taylor T., Hardistry, A., Arkinson, M., Zuiderwijk, A., Yin, Y. and Chen, Y. (2016) Time critical requirements and technical considerations for advanced support environments for data-intensive research, 2^nd International workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 16), in the context of IEEE Real-time System Symposium (RTSS), Porto, Portugal, November 29-December 2, 2016. [doi:10.5281/zenodo.204756]

37.  Zhou, H., Martin, P., Su, J., de Laat, C. and Zhao, Z. (2016) A Flexible Inter-locale Virtual Cloud For Nearly Real-time Big Data Applications, Proceedings of the 2^nd International workshop on Interoperable infrastructures for interdisciplinary big data sciences (IT4RIs 16), in the context of IEEE Real-time System Symposium (RTSS), Porto, Portugal, November 29-December 2, 2016. [doi:10.5281/zenodo.204774]

38.  Casale, G., Chesta, C., Deussen, P., Di Nitto, E., Gouvas, P. Koussouris, S., Stankovski, V., Symeonidis, A., Vlassiou, V., Zafeiropoulos A., and Zhao, Z. (2016) Current and Future Challenges of Software Engineering for Services and Applications, CloudForward 2016. [doi:10.1016/j.procs.2016.08.278]

39.  Taherizadeh, S., Jones, A., Taylor, I., Zhao,Z., Martin, P., Stankovski, V, (2016) Runtime Network-level Monitoring Framework in the Adaptation of Distributed Time-critical Cloud Applications, The 22nd International Conference on Parallel and Distributed Processing Techniques and Applications, 2016. [doi:10.5281/zenodo.53869]

40.  Zhou, H., Hu Y., Wang, J., Martin, P., Su, J., de Laat, C. and Zhao, Z., (2016) Fast Resource Co-provisioning for Time Critical Application Based on Networked Infrastructure, IEEE International Conference on CLOUD (CLOUD) 2016, San Francisco US. [doi:10.1109/CLOUD.2016.0111]

41.  Zhou, H., Hu Y., Wang, J., Martin, P., de Laat, C. and Zhao, Z., (2016) Fast and Dynamic Resource Provisioning for Quality Critical Cloud Applications, IEEE International Symposium On Real-time Computing (ISORC) 2016, York UK [doi:10.1109/ISORC.2016.22]

42.  Taherizadeh, S., Taylor, I., Jones, A., Zhao, Z., Stankovski, V., (2016) A network edge monitoring approach for real-time data streaming applications, International Conference on the Economics of Grids, Clouds, Systems, and services, p293-303, Springer [DOI: 10.1007/978-3-319-61920-0_21]

43.  Petcu, D., Fazio, M., Prodan, R., Zhao, Z., Rak, M., (2016), On the Next Generations of Infrastructure-as-a-Services, International Conference on Cloud Computing and Service Sciences (CLOSER), Rome, Italy April 23-25 2016. [doi:10.5220/0005912503200326]

44.  Martin, P., Taal, A., Quevedo, F., Rogers, D., Evans K., Jones, A., Stankovski, V., Taherizadeh, S., Trnkoczy, J., Suciu G., Zhao, Z, (2016) Information modelling and semantic linking for a software workbench for interactive, time critical and self-adaptive cloud applications, the International Workshop on Cloud Computing Project and Initiatives (CCPI-2016), in the proceedings of The 30th IEEE International Conference on Advanced Information Networking and Applications (AINA-2016), Crans-Montana, Switzerland, March 23-25, 2016.[ doi:10.1109/WAINA.2016.38]

45.  Evans, K., Jones, A., Preece, A., Quevedo, F., Rogers, D., Spasić, I., Taylor, I., Stankovski, V., Taherizadeh, S., Trnkoczy, J., Suciu, G., Suciu, V., Martin, P., Wang, J., Zhao, Z. (2015) Dynamically Reconfigurable Workflows for Time-Critical Applications, International workshop on Workflows in support of large-scale science (WORKS 15), in the context of IEEE Supercomputing 2015. [doi:10.1145/2822332.2822339]

46.  Mork, R., Martin, P., Zhao, Z. (2015) Contemporary Challenges for Data-intensive Scientific Workflow Management Systems, International workshop on Workflows in support of large-scale science (WORKS 15), in the context of IEEE Supercomputing 2015.[doi:10.1145/2822332.2822336]

47.  Zhao, Z., Martin, P., Wang, J., Taal, A., Jones, A., Taylor, I., Stankovski, V., Garcia Vega, I., Suciu, G., Ulisses, A., Cees de Laat, C. (2015), Developing and operating time critical applications in clouds: the state of the art and the SWITCH approach, In the proceedings of HOLACONF - Cloud Forward: From Distributed to Complete Computing, Pisa, Italy. Elsevier, Procedia Computer Science, Vol (68) page (17-28)[doi:10.1016/j.procs.2015.09.220]

48.  Jeferry, K., Kousiouris, G., Kyriazis, D., Altmann, J., Ciuffoletti, A., Maglogiannis, I., Nesi, P., Suzic B., and Zhao, Z. (2015) Challenges emerging from future cloud application scenarios, In the proceedings of HOLACONF - Cloud Forward: From Distributed to Complete Computing, Pisa, Italy. Elsevier, Procedia Computer Science, Vol (68) page (227-237) [doi:10.1016/j.procs.2015.09.238]

49.  Zhao, Z., Martin, P, Grosso, P., Los, W., de Laat, C., Jeffrey, K., Hardisty, A., Vermeulen, A., Castelli, D., Legr, Y., Kutsch, W. (2015) Reference Model Guided System Design and Implementation for Interoperable Environmental Research Infrastructures, 1st International workshop on Interoperable infrastructures for interdisciplinary big data research (IT4RIs) In the proceedings of IEEE eScience Munich Germany, p583-588 [doi:10.1109/eScience.2015.41]

50.  Martin, P., Grosso, P., Magagna, B., Schentz, H., Chen,Y., Hardisty, A., Los, W., Jeffrey, K., de Laat, C., Zhao, Z. (2015) Open Information Linking for Environmental Research Infrastructures, 1st International workshop on Interoperable infrastructures for interdisciplinary big data research (IT4RIs) In the proceedings of IEEE eScience Munich Germany, p546-553 [doi:10.1109/eScience.2015.66]

51.  Zhao, Z., Taal, A., Jones, A., Taylor, I., Stankovskic, V., Garcia, I., Jesus, F., Suciue, G., Ulisses, A., Ferreira, P., de Laat, C. (2015), A software workbench for interactive, time critical and highly self-adaptive cloud applications (SWITCH), In the proceedings of IEEE CCGrid (15th IEEE/ACM Int'l Symposium on Cluster, Cloud and Grid Computing), May 4-7, Shenzhen, China. [doi:10.1109/CCGrid.2015.73]

52.  Zhao,Z., Gross, P., Wouter. L., Chen Y., Hardisty, A., Martine, P., Magana, B., Schentz, H., (2013) OEILM: a semantic linking framework for environmental research infrastructures, Accepted as Poster at IEEE e-Science 2013. [doi:10.5281/zenodo.205781]

53.  Jiang, W., Zhao, Z., de Laat, C., (2013) An autonomous Security Storage Solution for Data intensive cooperative Cloud Computing. In the proceedings of IEEE 9th International Conference on eScience 2013, page 369-372. [doi:10.1109/eScience.2013.31]

54.  Jiang, W., Zhao, Z., Grosso, P., de Laat, C., (2013) Dynamic workflow planning on programmable infrastructure, IEEE Network Architecture Storage, China 2013. [doi:10.1109/NAS.2013.53]

55.  Chen, Y., Martin, P., Schentz, H., Magagna, B., Zhao, Z., Hardisty, A., Preece, A., Atkinson, M., Huber, R., and Legre. R., (2013) A common reference model for environmental science research infrastructures. In Proceedings of EnviroInfo2013. [Full text]

56.  Chen, Y., Hardisty, A., Preece, A., Atkinson, M., Martin, P., Zhao, Z., Schentz, H., Magagna, B. and Legre. R., (2013) Analysis of Common Requirements for Environmental Science Research Infrastructures. In Proceedings of The International Symposium on Grids and Clouds (ISGC). [Full text]

57.  Dumitru, C., Zhao, Z., Grosso, P., de Laat, C. (2013) HybridFlow: Towards Intelligent Video Delivery and Processing Over Hybrid Infrastructures, The 2013 International Conference on Collaboration Technologies and Systems (CTS 2013), May 20-24, 2013, San Diego, California, USA. [doi:10.1109/CTS.2013.6567271]

58.  Zhu, H., van der Veldt, K., Grosso, P., Zhao, Z., Liao, X., and de Laat, C., (2012) Semantic modelling and query for energy information in large scale infrastructure, International conference on Green Com, France.

59.  Demchenko, Y., Zhao, Z., Grosso, P., Wibisono, A. & Laat, C.T.A.M. de (2012). Addressing Big Data Challenges for Scientific Data Infrastructure. In The 4th IEEE Conf. on Cloud Computing Technologies and Science (CloudCom2012). Taipei, Taiwan: IEEE. [doi:10.1109/CloudCom.2012.6427494]

60.  Demchenko, Y., Zhao, Z., Grosso, P., Wibisono, A. & Laat, C.T.A.M. de (2012). Big Data Challenges for e-Science Infrastructure. In 7th International Conference on Cooperation and Promotion of Information Resources in Science and Technology (COINFO'12). Nanjing, China.

61.  Pavlov, D., Soeurt, J., Grosso, P., Zhao, Z., van der Veldt, K., Zhu, H., de Laat, C., (2012) Towards energy efficient data intensive computing using IEEE 802.3az, The International Workshop on Data Intensive Scalable Computing Systems - DISCS, in the context of Supercomputing 2012, Salt Lake City. [doi:10.1109/SC.Companion.2012.112]

62.  Zhao, Z., van der Ham, J., Taal, A., Koning, R., Dumitru, C., Wibisono, A., Grosso, P., de Laat., C. (2012).Planning data intensive workflows on inter-domain resources using the Network Service Interface (NSI), In The 7th Workshop on Workflows in Support of Large-Scale Science. in the context of Supercomputing 2012, Salt Lake City. [doi:10.1109/SC.Companion.2012.30]

63.  Zhao, Z., Grosso, P. & Laat, C. de (2012). OEIRM: An Open Distributed Processing based Interoperability Reference Model for e-Science, Cloud&Grid interoperability workshop, Gwangju, Korean. [doi:10.1007/978-3-642-35606-3_52]

64.  Zhao, Z., Dumitru, C., Grosso, P. & Laat, C. de (2012). Network resource control for data intensive applications in heterogeneous infrastructures. the International Workshop on High Performance Data Intensive Computing, in 26th IEEE International Parallel and Distributed Processing Symposium, Shanghai. [doi:10.1109/IPDPSW.2012.243]

65.  Belloum, A., Cushing, R., Koulouzis, S., Korkhov, V., Vasunin, D., Guevara-Masis, V., Zhao, Z., Bubak, M. (2012), Support for Cooperative Experiments in e-Science: From Scientific Workflows to Knowledge Sharing, Book chapter, Identification of Ligand Binding Site and Protein-Protein Interaction Area [doi:10.1007/978-94-007-5285-6_7]

66.  Zhao, Z., Taal, A., Grosso, P. & Laat, C. de (2011). Resource discovery in large-scale network infrastructure. In the Sixth IEEE international conference on Networking, Architecture, and Storage (pp. 186-190). Dalian China: IEEE Conference Publishing Services. [doi:10.1109/NAS.2011.43]

67.  Zhao, Z., Grosso, P., Koning, R., Ham, J. van der & Laat, C. de (2010). An agent based planner for including network QoS in scientific workflows. In M. Ganzha & M. Paprzycki (Eds.), Int'l workshop on Agent Based Computing: from Model to Implementation (ABC:MI'10), In Proceedings of the International Multiconference on Computer Science and Information Technology (IMCSIT 2010) (pp. 231-238). Piscataway, NJ: IEEE., Best paper award. [doi:10.1109/IMCSIT.2010.5680060]

68.  Zhao, Z., Grosso, P., Koning, R., Ham, J. van der & Laat, C. de (2010). An architecture including network QoS in scientific workflows. In Proceedings of the 9th International Conference on Grid and Cloud Computing (pp. 104-109). Los Alamitos, CA: IEEE Computer Society. [doi:10.1109/GCC.2010.32]

69.  Zhao, Z., Grosso, P., Koning, R., Ham, J. van der & Laat, C. de (2010). Network resource selection for data transfer processes in scientific workflows. In The 5th Workshop on Workflows in Support of Large-Scale Science. in the context of Supercomputing 2010, New Orleans. [doi:10.1109/WORKS.2010.5671840]

70.  Belloum, A., Zhao, Z. & Bubak, M. (2008). International Workshop on Applications of Workflows in Computational Science (AWCS 08). In M. Bubak, G.D. van Albada, J. Dongarra & P.M.A. Sloot (Eds.), Computational science - ICCS 2008: 8th International Conference, Krakow, Poland, June 23-25, 2008: Proceedings, part III Vol. 5103. Lecture Notes in Computer Science (pp. 459-462). Berlin: Springer. [doi:10.1007/978-3-540-69389-5_52]

71.  Zhao, Z., Belloum, A., Bubak, M. & Hertzberger, B. (2008). Support for cooperative experiments in VL-e: from scientific workflows to knowledge sharing. In Fourth IEEE International Conference on eScience (eScience 2008) (pp. 329-330). Los Alamitos, CA: IEEE Computer Society. [doi:10.1109/eScience.2008.120]

72.  Wibisono, A., Zhao, Z., Belloum A., Bubak, M. (2008). A framework for interactive parameter sweep applications. In 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 19-22 May 2008, Lyon, France. [doi:10.1109/CCGRID.2008.111]

73.  Wibisono, A., Zhao, Z., Belloum A., Bubak, M. (2008). A framework for interactive parameter sweep applications. In M. Bubak, G.D. van Albada, J. Dongarra & P.M.A. Sloot (Eds.), Computational Science - ICCS 2008: 8th International Conference, Krakow, Poland, June 23-25, 2008: Proceedings, part III Lecture Notes in Computer Science (pp. 481-490). Berlin: Springer. [doi:10.1007/978-3-540-69389-5_55]

74.  Zhao, Z., Belloum, A., Laat, C. de, Adriaans, P. & Hertzberger, B. (2007). Distributed execution of aggregated multi domain workflows using an agent framework. In L.J. Zhang, T.J. Watson, J. Yang & P.C.K. Hung (Eds.), Proceedings of the 2007 IEEE Congress on Services (SERVICES 2007) (pp. 183-190). Los Alamitos, CA: IEEE Computer Society. [doi:10.1109/SERVICES.2007.30]

75.  Terpstra, F. P., Zhao, Z., Mulder, W. & Adriaans, P.W. (2007). Towards a Formal Foundation for Aggregating Scientific Workflows. In Y. Shi, G..D. van Albada, J. Dongarra & P..M..A. Sloot (Eds.), International Conference on Computational Science (3) (pp. 216-219). Springer. [doi:10.1007/978-3-540-72588-6_38]

76.  Zhao, Z., Belloum, A.S.Z., Laat, C.T.A.M. de, Adriaans, P.W. & Hertzberger, B. (2007). Using Jade agent framework to prototype an e-Science workflow bus. In Seventh IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2007 (pp. 655-660). [doi:10.1109/CCGRID.2007.120]

77.  Wibisono, A., Vasyunin, D., Korkhov, V., Zhao, Z., Belloum, A., Laat, C. de, Adriaans, P. & Hertzberger, B. (2007). WS-VLAM: A GT4 based workflow management system. In Y. Shi, G.D. van Albada & J. Dongarra (Eds.), International Conference on Computational Science (ICCS 2007), Beijing, China Vol. 4489. Lecture Notes in Computer Science (pp. 191-198). Berlin: Springer. [doi:10.1007/978-3-540-72588-6_34]

78.  Zhao, Z., Booms, S., Belloum, A.S.Z., Laat, C.T.A.M. de & Hertzberger, L.O. (2006). VLE-WFBus: a scientific workflow bus for multi e-Science domains. In Proceedings of the 2nd IEEE International conference on e-Science and Grid computing (pp. 11-19). IEEE Computer Society Press. [doi:10.1109/E-SCIENCE.2006.154]

79.  Zhao, Z., Belloum, A.S.Z., Sloot, P.M.A. & Hertzberger, L.O. (2005). Agent technology and scientific workflow management in an e-Science environment. In Proceedings of the 17th IEEE International conference on Tools with Artificial Intelligence (pp. 19-23). Hongkong: IEEE Computer Society Press. [doi:10.1109/ICTAI.2005.29]

80.  Zhao, Z., Belloum, A.S.Z., Yakali, H.H. & Sloot, P.M.A. (2005). Dynamic Workflow in a Grid Enabled Problem Solving Environment. In Proceedings of the 5th International Conference on Computer and Information Technology (pp. 339-345). Shanghai: IEEE Computer Society Press. [doi:10.1109/CIT.2005.101]

81.  Zhao, Z., Albada, G.D. van & Sloot, P.M.A. (2005). Rapid Prototyping of Complex Interactive Simulation Systems.In Proceedings 10th IEEE International Conference on Engineering of Complex Computer Systems (pp. 366-375). Shanghai: IEEE Computer Society Press. [doi:10.1109/ICECCS.2005.69]

82.  Zhao, Z., Belloum, A.S.Z., Sloot, P.M.A. & & Hertzberger, L.O. (2005). Agent Technology and Generic Workflow Management in an e-Science Environment. In Proceedings Grid and Cooperative Computing - GCC 2005, 4th International Conference, Beijing, China, November 30 - December 3, 2005. [doi:10.1007/11590354_61]

83.  Zhao, Z., Belloum, A.S.Z., Wibisono, A., Terpstra, F., Boer, P.T., Sloot, P.M.A. & Hertzberger, L.O. (2005).Scientific workflow management: between generality and applicability. In Proceedings of the International Workshop on Grid and Peer-to-Peer based Workflows in conjunction with the 5th International Conference on Quality Software. Melbourne: IEEE Computer Society Press. [doi:10.1109/QSIC.2005.56]

84.  Zhao, Z. (2004, december 09). An agent based architecture for constructing Interactive Simulation Systems. UvA Universiteit van Amsterdam. Promoter/co-promoter: prof. dr. P.M.A. Sloot & dr. G.D. van Albada. [Link]

85.  Zajac, K., Tirado Ramos, A., Zhao, Z., Sloot, P.M.A. & Bubak, M.T. (2003). Grid Services for HLA-based Distributed Simulation Frameworks. In First European Across Grids Conference, Santiago de Compostela, Spain. Heidelberg: Springer Verlag. [doi:10.1007/978-3-540-24689-3_19]

86.  Tirado Ramos, A., Zajac, K., Zhao, Z., Sloot, P.M.A. Albada D., & Bubak, M.T. (2003). Experimental Grid Access for Dynamic Discovery and Data Transfer in Distributed Interactive Simulation Systems, In proceedings Computational Science - ICCS 2003, International Conference, Melbourne, Australia and St. Petersburg, Russia, June 2-4, 2003. Proceedings, Part I. [doi:10.1007/3-540-44860-8_29]

87.  Zhao, Z., Albada, G.D. van & Sloot, P.M.A. (2003). Interaction Scenario: Orchestrating Agents in a multi-agent System. In J-P Muller & M-M Seidel (Eds.), Proceedings of the 4th workshop on Agent-Based Simulation (pp. 155-160). Montpellier, France. [doi:10.1177/0037549705058060]

88.  Zhao, Z., Albada, G.D. van, Tirado Ramos, A., Zajac, K. & Sloot, P.M.A. (2003). ISS-Studio: a prototype for a user-friendly tool for designing interactive experiments in Problem Solving Environments. In P.M.A. Sloot, D. Abrahamson, A.V. Bogdanov, J. Dongarra, A.Y. Zomaya & Y.E. Gorbachev (Eds.), Computational Science - ICCS 2003, Proceedings Part I (pp. 679-688). Melbourne, Australia and St. Petersburg, Russia: Springer Verlag. [doi:10.1007/3-540-44860-8_70]

89.  Zhao, Z., Belleman, R.G., Albada, G.D. van & Sloot, P.M.A. (2002). AG-IVE: an Agent based solution to constructing Interactive Simulation Systems. In P.M.A. Sloot, C.J.K. Tan, J.J. Dongarra & A.G. Hoekstra (Eds.), Computational Science - ICCS 2002, Proceedings Part I (pp. 693-703). Springer Verlag. [doi:10.1007/3-540-46043-8_70]

90.  Zhao, Z., Belleman, R.G., Albada, G.D. van & Sloot, P.M.A. (2002). Reusability and Efficiency in Constructing Interactive Simulation Systems. In E.F. Deprettere, A.S.Z. Belloum, J.W.J. Heijnsdijk & F. van der Stappen (Eds.), ASCI 2002, Proceedings of the eighth annual conference of the Advanced School for Computing and Imaging (pp. 268-275). Delft: ASCI. [Link]

91.  Zhao, Z., Belleman, R.G., Albada, G.D. van & Sloot, P.M.A. (2002). Scenario Switches and State Updates in an Agent-based Solution to Constructing Interactive Simulation Systems. In Proceedings of the Communication Networks and Distributed Systems Modeling and Simulation Conference (CNDS 2002) (pp. 3-10). [Link]

92.  Zhao, Z., Belleman R. G., Albada G.D.and Sloot P.M.A. (2001): System integration for interactive simulation systems using intelligent agents, in R.L. Lagendijk; J.W.J. Heijnsdijk; A.D. Pimentel and M.H.F. Wilkinson, editors, Proceedings of the 7th annual conference of the Advanced School for Computing and Imaging, pp. 399-406. ASCI, May 2001. ISBN 90-803086-6-8. [Link]

93.  Belleman,R.G., Zhao,Z., Albada G.D. van and Sloot P.M.A (2000) Design considerations for the construction of immersive dynamic exploration environments, in L.J. van Vliet; J.W.J. Heijnsdijk; T. Kielmann and P.M.W. Knijnenburg, editors, ASCI 2000, Proceedings of the sixth annual conference of the Advanced School for Computing and Imaging, pp. 195-201. ASCI, Delft, June 2000. ISBN 90-803086-5-x. [Link]

Peer reviewed abstracts and posters

94.  Huan Zhou, Yang Hu, Jinshu Su, Cees de Laat and Zhiming Zhao (2018) CloudsStorm: An Application-driven Framework to Enhance the Programmability and Controllability of Cloud Virtual Infrastructures, ICT.open, March 19, 2018 [online]

95.  Koulouzis, Spiros; Carval, Thierry; Martin, Paul; Grenier, Baptiste; Chen, Yin; Heikkinen, Jani; Zhao, Zhiming (2018) Dynamic Optimization for Time-critical Data Services: A Case Study in Euro-Argo Research Infrastructure, 20th EGU General Assembly, EGU2018, Proceedings from the conference held 4-13 April, 2018 in Vienna, Austria, p.16012. [2018EGUGA..2016012K]

96.  Abraham Nieva de la Hidalga, Alex R Hardisty, Barbara Magagna, Paul W Martin, Zhiming Zhao (2018) Use of the ENVRI Reference Model to Support the Design of Environmental Research Infrastructures, 20th EGU General Assembly, EGU2018, Proceedings from the conference held 4-13 April, 2018 in Vienna, Austria, p.18552 [2018EGUGA..2018552N]

97.  Kutsch, W. L.; Zhao, Z.; Hardisty, A.; Hellström, M.; Chin, Y.; Magagna, B.; Asmi, A.; Papale, D.; Pfeil, B.; Atkinson, M. (2017) Data interoperabilty between European Environmental Research Infrastructures and their contribution to global data networks, AGU 2018, American Geophysical Union, Fall Meeting 2017, abstract #IN44B-01. [2017AGUFMIN44B..01K]

Technical report and newsletters

98.  Zhao, Z., Martin, P. Jeffery K., (2017) VRE in the Data for Science Approach to Common Challenges in ENVRIPLUS, ERCIM, Newsletter, April 2017

99.  Zhao, Z. (2016) Data for science: software and solutions for the environmental sciences, EGI Newsletter, January 2016.

100.                 Zhao, Z., (2015) Data for Science theme: software and solutions to address common challenges facing environmental research infrastructures, 1st ENVRIPLUS Newsletter, November 2015.

101.                 Ghijsen, M., Ham, J. van der, Grosso, P., Dumitru, C., Zhu, H., Zhao, Z. & Laat, C. de (2013). A semantic-web approach for modeling computing infrastructures. (SNE technical report 2013-01). Amsterdam: Universiteit van Amsterdam, System and Network Engineering. [Full text]

102.                 Hertzberger, L.O., Belleman, R.G., Jansen, M.G., Zhao, Z., Hooft, P. van, Belloum, A.S.Z., Mirzadeh, N., Yakali, H.H., Liere, R. van, Nuallain, B.S., Verstoep, K., Groep, D.L. & Bouwhuis, M.C. (2005). Recommendation to VLeIT: Scientific workflow management systems for the PoC r1. (Internal report). Amsterdam: Informatics Institute.

Supervised thesis

103.                 Jordy Bottelier (2018) Semi-Automatic schema matching: challenges and a composable match based solution, Master thesis [doi:10.5281/zenodo.1419496], Supervisor, Zhao, Z.

104.                 Jordan Maduro (2018) Towards a taxonomy for quality control in environmental sciences, Master thesis [doi:10.5281/zenodo.1419494], Supervisor, Zhao, Z..

105.                 Ewoud Bouman (2018) Characterizing access patterns from ftp logs: a case study on Euro-Argo research infrastructure, Bachelor thesis [doi:10.5281/zenodo.1419490]. Supervisor Zhao, Z., Taal, A., and Koulouz, S.

106.                 Mousa, R., (2017), Application aware digital objects access and distribution using Named Data Networking (NDN). Master, Zenodo. [doi:10.5281/zenodo.889740]. Supervisor Zhao, Z.

107.                 Elzinga, O., (2017). Collecting, cataloguing and searching performance information of Cloud resources. Master, Zenodo. [doi:10.5281/zenodo.889738]. Supervisor Taal, A., & Zhao, Z.

108.                 Acosta, C., (2017) From reference model and system requirements to architecture design recommendations: an expert system approach. Zenodo. [doi:10.5281/zenodo.889748]. Master, Supervisor Zhao, Z., & Martin, P.

109.                 Konstantaras, S., Grafis, I., (2014) PIRE ExoGENI – ENVRI: Preparation for Big Data Science, Zenodo. [doi:10.5281/zenodo.889699]. Master, Supervisor Oprescu, A., & Zhao, Z.

110.                 Karakannas, A., (2014) Information Centric Networking for Delivering Big Data with Persistent Identifiers. [doi:10.5281/zenodo.889603]. Master, Supervisor Zhao, Z.

111.                 Pavlov, D., & Soeurt, J., (2012) Green Computing in IEEE 802.3az-enabled Clusters. Zenodo. [doi:10.5281/zenodo.889752]. Master, Supervisor Grosso, P., & Zhao, Z.

In Chinese

112.                 Demchenko, Y., Zhao, Z., Grosso, P., Wibisono, A., de Laat, C., (2013) 科研信息化基础 设施的大数据挑战 (Big Data Challenges for e-Science Infrastructure) China Science and Technology Resources Review, Vol.45 No.1 30-35,40 Jan. 2013. ISSN 1674-1544 [online]

113.                 Zhao, Z. (1997) How to analyze the effect and cost in using educational resources, Journal of Research of Audio and Video Education, (In Chinese) January 1997.

114.                 Zhao, Z. and Zhang, J. (1997) The courseware authoring system in Multimedia Language Learning system, Journal of Research of Audio and Video Education, (In Chinese) March 1997.

115.                 Zhao, Z. and Zhang J. (1997) The trend of Multimedia Language Learning system, in Proceedings of the eighth annual conference on CBE, (In Chinese) pp. 202. Shanghai, China, November 1997.

116.                 Zhao, Z. and Zhang J (1997): The software environment of Multimedia language Learning system, in proceedings of 1st annual of GCCCE (Global Chinese Computer Education), (In Chinese) Guangzhou, China, May 1997.

117.                 Zhou Q. and Zhao, Z. (1997): A new model of developing Web based courseware, in Proceedings of the eighth annual conference on CBE, (In Chinese) pp. 165. Shanghai, China, November 1997. Excellent paper award. 

118.                 Zhao, Z. and Wang J. (1995): The implementation of the instructional strategy in educational software, in Proceedings of the seventh annual conference on CBE, (In Chinese) Changsha, China, November 1995.