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.     January 25, EUDAT, Finland

2.     January 11-13, VRE4EIC project meeting, Nice

3.     Dec 12-15, 2016, SWITCH, Ljubljana

. . .

 

I am currently a 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 his Ph.D. in Computer Science from University of Amsterdam (UvA) in 2004. My research focuses on advanced computing and network technologies, time critical and data intensive systems, Cloud computing, scientific workflows and software agents.

I am the scientific coordinator of the EU H2020 project SWITCH (Software Workbench for interactive time critical and highly self-adaptive cloud applications), and the leader of the Data for Science theme in the EU H2020 environmental science cluster project ENVRIPLUS. I also lead the research tasks of research sustainability in the EU H2020 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   Junchao Wang, Virtual Infrastructure planning (2015-)

o   Hu Yang, Performance optimization in Cloud  (2015-)

o   Huan Zhou, Service Level Agreement  (2015-)

Master students:

o   Olaf Elzinga, RP, Dynamic cloud performance information, 2017

o   Carlos Acosta, Master thesis, Reference model based smart architecture design, 2017

Former students/guests:

o   Ryan Mork, PIRE, Big data oriented workflow, 2015, 

o   Fatemeh AbyarjooPIRE*, Architecture for Cloud IoT, 2014

o   Andreas KarakannasRP, Information Centric Networking and PID, 2014

o   Stavros KonstantarasRP, SDN for big data science, 2014

o   Ioannis GrafisRP, SDN for big data science, 2014

o   Wenchao Jiang, Postdoctor/Guest, SDN and NSI, 2013

o   Dimitar Pavlov, RP, Energy efficient cluster computing, 2012

o   Joris SoeurtRP**, Energy efficient cluster computing, 2012

o   Dimitry PrapasMaster 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.     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)

2.     Leader of the Data for Science Theme: EU H2020 ENVRIPLUS (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 IvIENVRIPLUSEGI). Duration: May 2015- April 2019, Project website: www.envriplus.eu

3.     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. 1st IT4RIs, in conjunction with IEEE e-Science 2015, Munich, Germany
    2. 2nd IT4RIs, in conjunction with IEEE RTSS (Real-time System Symposium) 2016, Porto, Portugal
  2. Chen, Y., Zhao, Z., Session on Towards Environmental Research Infrastructure as a Service for the Open Science Cloud in Digital Infrastructure 2016, Krakow
  3. Zhao, Z., et al., International workshop on Workflow Systems in E-Sciences (WSES),
    1. 1st WSES, in conjunction with ICCS 2006, Reading, UK
    2. 2nd WSES,in conjunction with ICCS 2007, Beijing, China
    3. 3rd WSES, in conjunction with IEEE CCGrid 2008, Lyon, France
    4. 4th WSES, in conjunction with IEEE CCGrid 2009, Shanghai, China
  4. Belloum, A., Bubak, M., Zhao, Z., International Workshop on Applications of workflows in Computational Science (AWCS) 
    1. AWCS, in conjunction with ICCS, 2008
  5. Belloum, A., Zhao, Z., et al, International Workshop on Scientific Workflows and Business Workflow Standards in e-Science (SWBES),
    1. 1st SWBES, in conjunction with IEEE e-Science 2006, Amsterdam, the Netherlands
    2. 2nd SWBES, in conjunction with IEEE e-Science 2007, Bangalore India
    3. 3rd 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 2010-201320152016)

Program committee

  1. IEEE International conference on Advanced Information Networking and Applications (AINA 2017)
  2. IEEE International conference on e-Science (201420152016, 2017)
  3. IEEE International conference on Ubiquitous Computing and Communication (IUCC, 2011201320152016)
  4. IEEE International conference on Internet of Things and Cloud (FiCloud2016)
  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 (TrustCom2014)
  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]

 

 

Home

  • 2017, April 6-7, ENVRIPLUS/EuroArgo meeting, Brest, France
  • 2017, March 20-21, SWITCH 2nd 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, ENVRIPLUS 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 1st review, Brussels, Belgium
  • 2016 February 15-17, VRE4EIC, Pisa, Italy
  • 2016 January 11-16, Visit Wuhan, Changsha, Guangzhou and Shanghai, China
  • 2015, December 1-3, SWITCH project meeting, Porto, Portugal
  • 2015, October 20-22, ICT, Lisbon, Portugal
  • 2015, October 15-16, EU H2020 VRE4EIC Kickoff, Rome, Italy
  • 2015, October 6-8, CloudForward Pisa, Italy
  • 2015, September 20, MICAS15 (at SYNASC15), IaaS cluster meeting. September 20, 2015, Timisoara, Romania
  • 2015, September 13: International Broadcasting Convention (IBC), Amsterdam, the Netherlands
  • 2015, September 3, IT4RIs, IEEE e-Science, Munich, Germany
  • 2015, July, Data intensive sciences in HPC, Moderator, Panel discussion IEEE HPCS, Amsterdam, the Netherlands.
  • 2015, May, ENVRI PLUS and RDA, RDA and ESFRI workshop, Amsterdam, the Netherlands
  • 2015, May, ENVRI PLUS kickoff, 2015, Helsinki Finland
  • 2015, March, IvI colloquium, University of Amsterdam, [PDF]. 
  • 2015, Feb 10, Introduction to the SWTICH project, EU H2020 SWITCH project kickoff, Amsterdam. 
  • 2014, November 4-5. Shanghai Agricultural information centre, Agricultural Internet of Thing (IoT) centre.
  • 2014, RoN, Middleterm review, Demo [Slides][Portal]

See more details.

 

 

 

 

 

 

 

 

Publications

 

 

Home

Journal and special issues

  1. 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 [doi:10.1016/j.future.2017.02.001]
  2. 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].
  3. 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). 
  4. 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. Computers & Electrical Engineering, 39(8), 2553–2565.[ doi:10.1016/j.compeleceng.2013.08.011]
  5. Zhao, Z., Grosso, P., Ham, J. van der, Koning, R. & Laat, C.T.A.M. de (2011). An agent based network resource planner for workflow applications. International journal of Multiagent and Grid Systems, 7(6), 187-202. [doi: 10.3233/MGS-2011-0180]
  6. 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]
  7. 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]
  8. Lu, S., Deelman, E. & Zhao, Z. (2010). Scientific workflows special issue. International journal of business process integration and management (pp. 1-2). Inderscience Enterprises Ltd..[Full text]
  9. 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]
  10. Belloum, A., Deelman, E. & Zhao, Z. (2006). Scientific workflows. Scientific Programming, 14(3-4), 171-171. [Full text]
  11. 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]

  * Corresponding author.

Book chapters

  1. 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].
  2. Zhao, Z., Grosso, P., Ham, J. van der, Koning, R. & Laat, C.T.A.M. de (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

  1. 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. (to appear)
  2. 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, 2nd 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]
  3. 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 2nd 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]
  4. 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 2nd 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]
  1. 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]
  2. 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]
  3. 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. [10.1109/CLOUD.2016.0111]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. 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), poster paper, 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. Zhu, H., van der Veldt, K., Grosso, P., Zhao, Z., Liao, X., and de Laat, C., (2012) Semantic modeling and query for energy information in large scale infrastructure, International conference on Green Com, France.  
  21. 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]
  22. 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.
  23. 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]
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  28. 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]
  29. 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]
  30. 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]
  31. 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]
  32. 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]
  33. 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]
  34. 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]
  35. 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]
  36. 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]
  37. 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]
  38. 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]
  39. 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]
  40. 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]
  41. 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]
  42. 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]
  43. 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]
  44. 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]
  45. 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]
  46. 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]
  47. 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]
  48. 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]
  49. 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.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]
  50. 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]
  51. 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]
  52. 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]
  53. 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]
  54. 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]

Technical report and newsletters

  1. Zhao, Z. (2016) Data for science: software and solutions for the environmental sciences, EGI Newsletter, January, 2016.
  2. Zhao, Z., (2015) Data for Science theme: software and solutions to address common challenges facing environmental research infrastructures, 1st ENVRIPLUS Newsletter, November 2015.
  3. 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]
  4. 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.

Chinese

  1. Demchenko, Y., ZhaoZ., Grosso, P., Wibisono, A., de Laat, C., (2013) 科研信息化基 施的大数据挑 (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]
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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. 
  6. 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.

 

 

 

 

 

 

 

 

Update date: February 27 2017