From Gilles Fedak

Site: GULSSConsortium

Appendix: Facts about the GULSS Consortium

The GULSS Consortium will be set up jointly by:

In the research of high performance computing and data management in China, the CAS-CNIC Beijing has established a very good relationship with USPC and INRIA Lyon in France. The cooperation started in 2010 with visits in China by french delegates and under the supervision of the French consulate in Wuhan. Since then, many colleagues from Beijing, Hangzhou and Wuhan came in France as Professor fellowship invitations. French colleagues from INRIA Lyon and USPC spent 1-2 months in Beijing in 2015. The level of common publications is still good (see the references). Haiwu He (CAS) and Gilles Fedak (INRIA) have worked together in France for more than 6 years. The French partners also have strong links as they together participate to several projects in particular the ANR MapReduce project.

Shadi Ibrahim obtained his Ph.D from Huazhong University of Science and Technology of China, where he was supervised by Prof. Hai Jin. The title of Shadi's Ph.D thesis was "Performance-Aware Scheduling for Data-Intensive Cloud Computing”. After Shadi moved to Inria in November 2011, Prof. Jin and Shadi have continued working together on different ideas for improving the performance of Big Data application through reducing the impacts of disk interference which is introduced by virtualization technology.

The collaboration has generated fruitful results: more than 18 published joint papers (CCPE2015, TPDS 2014, FGCS 2013, PPNA 2013, Mascots 2013, CCGrid 2012, ICPP 2011, SCC 2011, CloudCom 2010, MapReduce 2010, CloudCom 2009 and HPDC 2009).

Academic visits in the 5 past years:

  1. Haiwu He: invited professor at INRIA (Lyon) by Gilles Fedak (2 months) in 11/2016
  2. Hai Jin (3 weeks in 2012) and Xuanhua Shi (3 weeks in 2015) from Wuhan were invited professors at Paris 13
  3. Gilles Fedak and Christophe Cerin: CAS Distinguished visiting Professor Fellowship Initiative (PIFI program) with CNIC, Beijing; (1 month + 2 months);
  4. Haiwu He: invited professor at INRIA (Lyon) by Gilles Fedak in 07/2015
  5. Christophe CERIN and Haiwu HE visited Congfeng Jiang (Hangzhou Dianzi University) in May, 2015
  6. Christophe CERIN and Haiwu He visited Huazhong University of Science and Technology in May, 2015
  7. Gilles Fedak visited CNIC / CAS in Beijing in September 2014.
  8. Lu Lu, PhD student from HUST, advised by Xuanhua Shi did a 6 months internship with G. Fedak in Lyon
  9. Shadi Ibrahim visited Huazhong University of Science and Technology in September, 2012
  10. Gilles Fedak, Haiwu He and Christophe Cérin visited Huazhong university of Science and Technology in 2010

Publications Co-authored in the past 5 years

  1. Anthony Simonet, Julio Anjos, Gilles Fedak, Haiwu He, Bing Tang, Lu Lu, Hai Jin, Xuanhua Shi, Mircea Moca, Gheorghe Silaghi, Asma Ben Cheich and Heithem Abbes. D3-MapReduce: Towards MapReduce for Distributed and Dynamic Data Sets, DataCom 2015, Chengdu, China
  2. Congfeng Jiang, Jian Wan, Christophe Cérin, Paolo Gianessi, Yanik Ngoko:Towards Energy Efficient Allocation for Applications in Volunteer Cloud. IPDPS Workshops 2014: 1516-1525
  3. Bing Tang, Haiwu He, Gilles Fedak, Parallel Data Processing in Dynamic Hybrid Computing Environment Using MapReduce, 14th International Conference, ICA3PP 2014, Dalian, China, August 24-27, 2014: 2014
  4. Gilles Fedak, Haiwu He and Franck Cappello, BitDew: A Data Management and Distribution Service with Multi-Protocol File Transfer and MetaData Abstraction, Journal of Network and Computer Applications: 2009 ,32(5),961--975
  5. Bing Tang, Mircea Moca, Stephane Chevalier, Haiwu He, Gilles Fedak.,Towards MapReduce for Desktop Grid Computing, In Fifth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC): November 2010
  6. Lu Lu, Hai Jin, Xuanhua Shi, Gilles Fedak, "Assessing MapReduce for Internet Computing: A Comparison of Hadoop and BitDew-MapReduce", ACM/IEEE International Conference on Grid Computing(Grid 12), 2012
  7. Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Gabriel Antoniu, Song Wu, “Handling Partitioning Skew in MapReduce using LEEN”, in Peer-to-Peer Networking and Applications Journal (PPNA), May. 2013.
  8. Xiao Ling, Shadi Ibrahim, Hai Jin, Song Wu, “Spatial Locality Aware Disk Scheduling in Virtualized Environment”, In the IEEE Transactions on Parallel and Distributed Systems (TPDS), 2015.
  9. Xiao Ling, Hai Jin, Shadi Ibrahim, Wenzhi Cao, Song Wu, Gabriel Antoniu, “Flubber: Two-level Disk Scheduling in Virtualized Environment”, in the Future Generation Computer Systems (FGCS) Journal, October 2013.
  10. Xiao Ling, Shadi Ibrahim, Hai Jin, Song Wu, Songqiao Tao “Exploiting Disk Spatial Locality in Virtualized Environments”, in Proceedings of the IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems Mascots 2013, August 14-16, 2013 in San Francisco, CA.
  11. Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Gabriel Antoniu, Song Wu, “Maestro: Replica-Aware Map Scheduling for MapReduce ”, in Proceedings of The 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing CCGrid 2012, May 13-16, 2012, Ottawa, Canada.
  12. Xiao Ling, Hai Jin, Shadi Ibrahim, Wenzhi Cao, Song Wu, “Efficient Disk I/O Scheduling with QoS guarantees for Xen-based Platforms”, in Proceedings of The 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing CCGrid 2012, May 13-16, 2012, Ottawa, Canada.
  13. Hai Jin, Shadi Ibrahim, Li Qi, Haijun Cao, Song Wu, Xuanhua Shi, “The MapReduce Programming Model and Implementations”, Book Chapter in Cloud Computing: Principles and Paradigms, Wiley Press, Mar. 2011.
  14. Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Song Wu, “Adaptive Disk I/O Scheduling for MapReduce in Virtualized Environment”, in Proceedings of 40th annual International Conference on Parallel Processing ICPP 2011, Sep 13-16, Taiwan.
  15. Shadi Ibrahim, Bingsheng He, Hai Jin, “Towards Pay-As-You-Consume Cloud Computing”. in Proceedings of IEEE 8th International Conference on Services Computing SCC 2011, July 4-9, Washington, USA.
  16. Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He,Li Qi, Song Wu, “LEEN: Locality/Fairness- aware Key Partitioning for MapReduce in the Cloud”, in the 2nd IEEE International Conference on Cloud Computing Technology and Science CloudCom 2010, Indiana, USA, Dec 2010.
  17. Dachuan Huang, Xuanhua Shi, Shadi Ibrahim, Lu Lu, Song Wu, Hai Jin, “MR-Scope: A Real Time Tracing Tool for MapReduce”,in The First International Workshop on MapReduce and its Applications MAPREDUCE’10 in conjunction with ACM HPDC 2010, Chicago, IL, USA, Jun 2010.
  18. Shadi Ibrahim, Hai Jin, Lu Lu, Li Qi, Song Wu, Xuanhua Shi, “Evaluating MapReduce on Virtual Machines : The Hadoop Case”, in 1st International conference on Cloud Computing CloudCom 2009, Beijing, China, Dec 2009.
  19. Shadi Ibrahim, Hai Jin, Cheng bin, HaiJun Cao, Song Wu, Li Qi, “CLOUDLET: Towards MapReduce Implementation on Virtual Machine”, Poster Session ,in 18th International Symposium on High Performance Distributed Computing HPDC 2009, Munich, Germany, June 2009.
  20. Christophe Cerin, Leila Abidi, Gilles Fedak and Haiwu He. Towards an Environment for doing Data Science that runs in Browsers, DataCom 2015, Chengdu, China

Detailed description of the partners:


INRIA, the French national institute for research in computer science and control, operating under the dual authority of the Ministry of Research and the Ministry of Industry, is dedicated to fundamental and applied research in information and communication science and technology (ICST). The Institute also plays a major role in technology transfer by fostering training through research, diffusion of scientific and technical information, development, as well as providing expert advice and participating in international programs. By playing a leading role in the scientific community in the field and being in close contact with industry, INRIA is a major participant in the development of ICST in France. Throughout its headquarter and its eight research centers in Rocquencourt, Rennes, Sophia Antipolis, Grenoble, Nancy, Bordeaux, Lille and Saclay, INRIA has a workforce of 4 100, 3 150 of whom are scientists from INRIA and INRIA's partner organizations such as CNRS universities and leading engineering schools. They work in 168 joint research project-teams.

INRIA defined and implemented an ambitious policy on IT and communications equipment to the best international standards, with very high performance networks, computing and visualization resources, grids and now clouds allowing for far-reaching experiments to be run and technological developments implemented. The Institute now has also highly developed skills at its disposal as well as a high-level international visibility in the field of networks, computing grids and clouds. The Institute has set ambitious scientific goals for this field. Grids and clouds spread over several scientific priorities of the Strategic Plan for 2008-2012 (Modeling, Programming, Communicating, Interacting, Computational Engineering, Computational Sciences, Computational Medicine).

INRIA/AVALON, Lyon, France

Avalon (, one of the LIP research teams located at ENS-Lyon. The long term goal of the Avalon team is to contribute to the design of programming models supporting a lot of architecture kinds, to implement them by mastering the various algorithmic issues involved, and to study the impact on application-level algorithms. To achieve such a goal, the team plans to contribute at different level including distributed algorithms, programming models, deployment of services, services discovery, service composition and orchestration, large scale data management, Cloud computing, etc. All the theoretical results are validated on software prototypes using applications from different fields of science such as bioinformatics, physics, cosmology, etc. The French experimental platform Grid'5000 is the platform of choice for experiments. Members of Avalon are leading the national projects for operating the platform and for conducting research on it (INRIA project Héméra, C. Perez). Avalon team was involved in the Nu@ge project aimed at building a federation of container-sized datacenter on the French territory . The Avalon team has solid collaborations with industrial companies (EDF, BULL, Alcatel-Lucent, etc.). Members of Avalon are involved in teaching activities at ENS Lyon and University Lyon I, in particular at Master level. Moreover, they contribute and organize to international level events (conferences, forum, tutorials, etc.). AERES rates the Avalon team (as part of the Graal project) with A, with A+ for its scientific quality and its production and A for all others items.

Gilles Fedak (co-Principal Investigator) has been a permanent Inria research scientist since 2004. After graduating from University Paris Sud in 2003, he has followed a postdoctoral fellowship at the University of California San Diego in 2003-2004. He received his Habilitation degree from ENS-Lyon in 2015. His research topics include designing and implementing an open-source Desktop Grid system called XtremWeb, an open-source platform for data-intensive applications on Cloud and Desktop Grid called BitDew. He is a member of the program committee of several conferences and workshops (HPDC, CloudCom, ScalCom, EuromicroPDP, eScience, ICCCN, IANA, CCGRID and more). He is co- editor of the Cluster Computing Journal. In 2012, he co-edited with C. Cérin the Desktop Grid Computing Book, (CRC publication). He has been the Principal Investigator of ANR JCJC DSLLAB project and ANR CloudPower project. He has also lead several bilateral cooperation programs with Japan, Tunisia and China. He was involved in FP6 CoreGrid Network of Excellence and FP6 Grid4All, as well as several national ACI and ANR projects including GP2PC, SPADES, Clouds@Home and more recently ANR MapReduce. G. Fedak was the Inria representative in the FP7 EDGeS and FP7 EDGI projects. He co-authored more than 90 scientific papers and won two best-paper awards.

Laurent Lefevre is a permanent researcher in computer science at Inria and member of the Avalon team. He got his “Habilitation à Diriger des Recherches” in Computer Science from the ENS de Lyon in 2013. He has co-authored more than 100 peer-reviewed papers published in journals and conference proceedings.

Marcos Dias de Assunção is a starting researcher at Inria. He obtained a Ph.D. in Computer Science and Software Engineering (2009) from The University of Melbourne, Australia. Marcos has published research papers in several conferences and journals on distributed systems, including FGCS, CCPE, HPDC, Mascots, IEEE Cloud, NOMS, and IM.