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# Haiwu He: invited professor at INRIA (Lyon) by Gilles Fedak  (2 months) in 11/2016
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!! INRIA/Kerdata - Rennes, France
to:
!!! INRIA/Kerdata - Rennes, France
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Université Paris 13 is a multidisciplinary university based in the north of Paris, in the towns of Villetaneuse, Saint Denis, La Plaine Saint-Denis and Bobigny (Seine-Saint-Denis department) and at Argenteuil (Val-d’Oise department). It has 24,000 students spread over five campuses, in initial or continuing training. The Paris 13 University is a member of the COMUE Sorbonne Paris Cité (SPC) and Campus Condorcet.
The Computer Science laboratory of Paris-North University (LIPN) has been associated with CNRS (UMR 7030) since January 1992. Most of the LIPN professors hold a permanent position at Paris 13 University, at Institut Galilée or IUT de Villetaneuse. Research at LIPN is carried out in its major areas of expertise, in particular Combinatorics, Algorithmics, Logic, Software, Natural Language Processing, Machine Learning, Combinatorial Optimization. LIPN develops fundamental researches and has a cooperation policy with large organisations and companies. This policy leads to participating in European or international projects, ANR, etc. The collaboration with companies also includes CIFRE fellowships. Additional information is available on the laboratory website.
The LIPN team will contribute in data management, orchestration of grid and cloud middleware and also on machine learning algorithms seen as applications for validating the project.

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!! CNIC/CAS
to:
!! Computer Network Information Center  of the Chinese Academy of Sciences CNIC/CAS
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!!HUST SCTS/CGCL/BDTS
to:
!! Huazhong University of Science and Technology (HUST) SCTS/CGCL/BDTS
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!!!INRIA/AVALON
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!!! INRIA/AVALON, Lyon, France
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to:
!! INRIA/Kerdata - Rennes, France

KerData (https://team.inria.fr/kerdata/) is a joint research team of Inria Rennes - Bretagne Atlantique, ENS Rennes and INSA Rennes. Kerdata’s main research activities address the area of distributed data management at challenging scales, with a particular focus on clouds and petascale HPC architectures. Shadi Ibrahim (Research Scientist, Inria, partner coordinator) and Gabriel Antoniu (Senior Research Scientist, Inria, leader of the KerData project-team) will be the main participants of KerData in this project.


'''Shadi Ibrahim (INRIA/Kerdata scientific representative)''' is a permanent Inria Research Scientist within the KerData team. He obtained his Ph.D. in Computer Science from Huazhong University of Science and Technology in Wuhan of China in 2011. He has published several research papers in recognized Big Data and Cloud Computing research conferences and journals including TPDS, FGCS, PPNA, SC, IPDPS, Mascots, CCGrid, ICPP, SCC, Cluster, and Cloudcom.

* Orcin Yildiz, Matthieu Dorier, Shadi Ibrahim, Rob Ross, Gabriel Antoniu. On the Root Causes of Cross-Application I/O Interference in HPC Storage Systems. IPDPS - International Parallel and Distributed Processing Symposium, May 2016.
* Orçun Yildiz, Shadi Ibrahim, Gabriel Antoniu, Enabling fast failure recovery in shared Hadoop clusters: Towards failure-aware scheduling, Future Generation Computer Systems, 2016.
* Matthieu Dorier, Orçun Yildiz, Shadi Ibrahim,Anne-Cécile Orgerie, and Gabriel Antoniu, "On the Energy Footprint of I/O Management in Exascale HPC Systems", Future Generation Computer Systems, 2016.
* Shadi Ibrahim, Tien-Dat Phan, Alexandra Carpen-Amarie, Houssem-Eddine Chihoub, Diana Moise, and Gabriel Antoniu, “Governing Energy Con- sumption in Hadoop through CPU Frequency Scaling: an Analysis”, In the Future Generation Computer Systems (FGCS) Journal, 2015.
* Shadi Ibrahim, Hai Jin, Lu Lu, Bingsheng He, Song Wu, “Adaptive disk i/o scheduling for map reduce in virtualized environment”, in the 2011 International Conference on Parallel Processing (ICPP 2011).

'''Gabriel Antoniu''' is a Senior Research Scientist at Inria, Rennes. He leads the KerData research team, focusing on storage and I/O management for Big Data processing on scalable infrastructures (clouds, HPC systems). He has acted as advisor for 15 PhD theses and has co-authored over 100 international publications.

*Matthieu Dorier et al. Using Formal Grammars to Predict I/O Behaviors in HPC: the Omnisc’IO Approach. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2016.
* Benoit Da Motaetal., IMAGEN Consortium. Machine learning patterns for neuroimaging-genetic studies in the cloud. Recent Advances and the Future Generation of Neuroinformatics Infrastructure. 2014.
* Radu Tudoran et al. 2014 JetStream: enabling high performance event streaming across cloud data-centers. In Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems (DEBS ’14).


!! University Paris 13

'''Christophe Cérin''' is professor of computer science since 2005, at the University of Paris 13, France. He has initiated an infrastructure project related to big data and high performance computing for e-sciences for USPC (Université Sorbonne Paris Cité) federating the universities of Paris 3, Paris 5, Paris 7, Paris 13, INALCO, Sciences Po, Institut de Physique du Globe de Paris and Ecoles des hautes études en santé publique. At Paris 13, he chairs the board for the cluster computing facility available to all campus scientists and also chairs the ’Expert Committee’ in charge of recruiting and mentoring full time junior and senior professors in computer science. His industrial experience is currently as local chair for the Wendelin project (Gaz de France, Mitsubishi, Inria, Telecom ParisTech, Paris 13) related to Big Data.

* Walid Saad, Hither Abbes, Mohamed Jemni, Christophe Cérin: Designing and Implementing a Cloud-hosted SaaS for data movement and sharing with SlapOS. IJBDI 1(1/2): 18-35 (2014)
*Congfeng Jiang, Jian Wan, Christophe Cérin, Paolo Gianessi, Yanik Ngoko: Towards Energy Efficient Allocation for Applications in Volunteer Cloud. IPDPS Workshops 2014: 1516-1525
* Walid Saad,Leila Abidi, Heithem Abbes, Christophe Cérin, Mohamed Jemni: Wide Area BonjourGrid as a Data Desktop Grid: Modeling and Implementation on Top of Redis. SBAC-PAD 2014: 286-293
* Walid Saad, Heithem Abbes, Christophe Cérin, Mohamed Jemni: A Data Prefetching Model for Desktop Grids and the Condor Use Case. Trust- Com/ISPA/IUCC 2013: 1065-1072
* Christophe Cérin and Gilles Fedak: Desktop Grid Computing, Chapman&Hall/CRC Numerical Analysis and Scientific Computing Series,2012

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'''Xuanhua Shi (co-PI)''' is a full professor in Service Computing Technology and System Lab/Cluster and Grid Computing Lab/ Big Data Technology and System Lab (SCTS/CGCL/BDTS), Huazhong University of Science and Technology (China). He received his Ph.D. degree in Computer Engineering from Huazhong University of Science and Technol- ogy (China) in 2005. From 2006, he worked as an Inria Post-Doc in the PARIS team at Rennes for one year. He currently leads the Big Data team in SCTS/CGCL/BDTS and works on big data systems, such as in-memory data processing, graph computing, etc. The in-memory computing system (called Mammoth) developed by his team has been recommended as Spotlight on Transactions by IEEE Computer.
to:
'''Xuanhua Shi (co-Principal Investigator)''' is a full professor in Service Computing Technology and System Lab/Cluster and Grid Computing Lab/ Big Data Technology and System Lab (SCTS/CGCL/BDTS), Huazhong University of Science and Technology (China). He received his Ph.D. degree in Computer Engineering from Huazhong University of Science and Technol- ogy (China) in 2005. From 2006, he worked as an Inria Post-Doc in the PARIS team at Rennes for one year. He currently leads the Big Data team in SCTS/CGCL/BDTS and works on big data systems, such as in-memory data processing, graph computing, etc. The in-memory computing system (called Mammoth) developed by his team has been recommended as Spotlight on Transactions by IEEE Computer.
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''' Haiwu He (CNIC/CAS scientific representative)''' is a ''100 Talents Professor'' at the CNIC, CAS. He is also a “Chunhui Scholar” of Ministry of Education of China since 2013. Prof. Haiwu HE received his M. Sc. and Ph. D. degrees in computing from the University of Sciences and Technologies of Lille, France, respectively in 2002 and 2005. He was a postdoctoral researcher at Inria Saclay, France in 2007. He was a research engineer expert at Inria Rhone-Alpes in Lyon, France from 2008 to 2014. He has published about 30 refereed journal and conference papers. His research interest covers BigData, Cloud computing and HPC. Now, he is also a research team leader of a joint GPU research center of CNIC/CAS.

* DSMC3: Fast Direct Simulation Monte Carlo Solver for the Boltzmann Equation by Multi-Chain Markov Chain and Multicore Programming. Di Zhao, Haiwu He, International Journal of Modeling, Simulation, and Scientific Computing, 2016
* HybridMR: A New Approach for Hybrid MapReduce Combining Desktop Grid and Cloud Infrastructures. Bing Tang, Haiwu He and Gilles Fedak, Concurrency and Computation: Practice and Experience, 2015.
* Availability and Network-aware Map Reduce Task Scheduling over theIn tenet. Bing Tang, Qi Xie, Haiwu He and Gilles Fedak, ICAPP 2015
* BitDew: A Data Management and Distribution Service with Multi-Protocol and Reliable File Transfer. G. Fedak, H. He, and F. Cappello Journal of Network and Computer Applications, 32(5):961–975, 2009.
* A hybrid GMRES/LS-Arnoldi method to accelerate the parallel solution of linear systems. Haiwu HE, G. BERGERE, and S. Petiton. Computers and Mathematics with Applications, 51(11):1647-1662, 2006.

'''Di Zhao''' is a ''100 Talents'' Associate Professor at the CNIC, CAS. Zhao Di obtained his Ph.D. in Computer and Applied Mathematics from Louisiana Tech University in 2010. From 2010 to 2014, He is the head of Chinese Academy of Sciences –NVIDIA Joint Research Centre (GPU Research Center) and the Joint Education Center (GPU Education Center).

* DSMC3: Fast Direct Simulation Monte Carlo Solver for the Boltzmann Equation by Multi-Chain Markov Chain and Multicore Programming. Di Zhao, Haiwu He, International Journal of Modeling, Simulation, and Scientific Computing, 2016
* GPU Acceleration of Convolutional Neural Network for Brain Carcinoma MRI Image Segmentation by cuDNN. Di Zhao, Jianbo Lei ,GPU Technology Conference 2015 (GTC 2015)
* Fast Filter Bank Convolution for Three-dimensional Wavelet Transform by Shared Memory on Mobile GPU Computing. Di Zhao, Journal of Super- computing, 2015,71(9):3440-3455

'''Beefing Niu''' is a ''100 Talents Professor'' at the CNIC, CAS. He got his Ph.D. in computer software in CNIC (Computer Network Information Center), CAS (Chinese Academy of Sciences). He published high impact articles in Nature and Cell in the field of health care.

* Mutational landscape and significance across 12 major cancer types. CyriacKandoth, metal. Nature 502 (7471), 333-339, 2013
* Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes. Mark DM Leiserson et al.. Nature genetics. 47(2) 106-144, 2015
* Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin. Katherine A Hoadley et al., Cancer
Genome Atlas Research Network. Cell. 158(4) 929-944, 2014

'''Xiaoyu Yang''' is a ''100 Talents Professor'' at the CNIC, CAS. He got his Ph.D from De Montfort University, UK. His main research interests include e-Science, SOA, cloud computing, collaborative computing, grid computing, Java enterprise software architecture, etc.

* Cloud Computing in eScience: Research Challenges and Opportunities .Xiaoyu Yang et al.,Journal of Supercomputing, 2014
* A business-oriented Cloud federation model for real-time applications. Yang, X., Nasser B., et al., Future Generation Computer Systems, Elsevier, Volume 28, Issue 8, October 2012, Pages 1158–1167
* Service-Oriented Methodology and Technologies for Cloud Computing. Xiaoyu Yang, Lu Lu, IGI Global, 2012, (Book)

Changed line 167 from:
* Haikun Liu and Bingsheng He, VMbuddies: Coordinating Live Migration of Multi-tier Applications in Cloud Environments, IEEE Transaction on Parallel and Distribute System, Vol.26, No.4, April 2015, pp. 1192-1205
to:
* Haikun Liu and Bingsheng He, VMbuddies: Coordinating Live Migration of Multi-tier Applications in Cloud Environments, IEEE Transaction on Parallel and Distribute System, Vol.26, No.4, April 2015, pp. 1192-1205
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*Xuanhua Shi, Ming Chen, Ligang He, Xu Xie, Lu Lu, Hai Jin, Yong Chen, and Song Wu, "Mammoth: Gearing Hadoop Towards Memory-Intensive
MapReduce Applications", IEEE Transactions on Parallel and Distributed Systems, 26(8):2300-2315, 2015. Spotlight paper on Transactions
to:
*Xuanhua Shi, Ming Chen, Ligang He, Xu Xie, Lu Lu, Hai Jin, Yong Chen, and Song Wu, "Mammoth: Gearing Hadoop Towards Memory-Intensive MapReduce Applications", IEEE Transactions on Parallel and Distributed Systems, 26(8):2300-2315, 2015. Spotlight paper on Transactions
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Changed lines 119-120 from:
Xuanhua Shi see above Section.
1.
Xuanhua Shi, Ming Chen, Ligang He, Xu Xie, Lu Lu, Hai Jin, Yong Chen, and Song Wu, "Mammoth: Gearing Hadoop Towards Memory-Intensive
to:
'''Xuanhua Shi (co-PI)''' is a full professor in Service Computing Technology and System Lab/Cluster and Grid Computing Lab/ Big Data Technology and System Lab (SCTS/CGCL/BDTS), Huazhong University of Science and Technology (China). He received his Ph.D. degree in Computer Engineering from Huazhong University of Science and Technol- ogy (China) in 2005. From 2006, he worked as an Inria Post-Doc in the PARIS team at Rennes for one year. He currently leads the Big Data team in SCTS/CGCL/BDTS and works on big data systems, such as in-memory data processing, graph computing, etc. The in-memory computing system (called Mammoth) developed by his team has been recommended as Spotlight on Transactions by IEEE Computer.
He published over 80 peer-reviewed publications, received research support from a variety of governmental and industrial organizations, such as National Science Foundation of China, Ministry of Science and Technology, Ministry of Education, and European Union. He has chaired several conferences and workshops and served on technical program committees of numerous international conferences. He is a member of IEEE and ACM, and a senior member of CCF (China Computer Federation).

*
Xuanhua Shi, Ming Chen, Ligang He, Xu Xie, Lu Lu, Hai Jin, Yong Chen, and Song Wu, "Mammoth: Gearing Hadoop Towards Memory-Intensive
Changed lines 124-136 from:
2. XuanhuaShi,HaohongLin,HaiJin,BingBingZhou,ZuoningYin,ShengDiandSongWu,"GIRAFFE:AScalableDistributedCoordinationService
for Large-scale Systems". IEEE Cluster
, Madrid, Spain, 2014. Nominated for Best Paper
3
. Xuanhua Shi, Junling Liang, Sheng Di, Bingsheng He, Hai Jin, Lu Lu, Zhixiang Wang, Xuan Luo, Jianlong Zhong, "Optimization of Asynchronous
Graph Processing on GPU with Hybrid Coloring Model". ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP
’15), San Francisco, USA, 2015
4. ZhixiangWang
,XuanhuaShi,HaiJin,SongWu,YongChen,"IterationBasedCollectiveI/OStrategyforParallelI/OSystems",CCGrid,2014
5. Lu Lu
, Xuanhua Shi, Qiuyue Wang, Daxing Yuan, Song Wu, "Morpho: a Decoupled MapReduce Framework for Elastic Cloud Computing" ,Future
Generation Computer Systems
, 36:80-90, 2014
Qiangsheng Hua is an associate professor at SCTS/CGCL/BDTS, Huazhong University of Science and Technology (China). He published over 40 peer-reviewed papers in networking and distributed algorithms.
1. Qiang-Sheng Hua, Haoqiang Fan, Ming Ai, Lixiang Qian, Yangyang Li, Xuanhua Shi, Hai Jin. Nearly Optimal Distributed Algorithm for Computing Betweenness Centrality. ICDCS 2016
, Nara, Japan, June 27-30, 2016.
2. Dongxiao Yu, Qiang-Sheng Hua*, Yuexuan Wang, Haisheng Tan, Francis C. M. Lau. Distributed multiple-message broadcast in wireless ad hoc networks under the SINR model. Theoretical Computer Science 610: 182-191, 2016.
3.
Dongxiao Yu, Yuexuan Wang, Qiang-Sheng Hua*, Francis C. M. Lau. Distributed (Delta+1)-coloring in the physical model. Theoretical Computer Science 553: 37-56, 2014.
to:
* Xuanhua Shi, Haohong Lin, Hai Jin, Bing Bing Zhou, Zuoning Yin, Sheng Diand Song Wu,"GIRAFFE: A Scalable Distributed Coordination Service for Large-scale Systems". IEEE Cluster, Madrid, Spain, 2014. Nominated for Best Paper
* Xuanhua Shi
, Junling Liang, Sheng Di, Bingsheng He, Hai Jin, Lu Lu, Zhixiang Wang, Xuan Luo, Jianlong Zhong, "Optimization of Asynchronous Graph Processing on GPU with Hybrid Coloring Model". ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP’15), San Francisco, USA, 2015
* Zhixiang Wang
, Xuanhua Shi, Hai Jin, Song Wu, Yong Chen, "Iteration Based Collective I/O Strategy for Parallel I/O Systems", CCGrid, 2014
* Lu Lu, Xuanhua Shi, Qiuyue Wang
, Daxing Yuan, Song Wu, "Morpho: a Decoupled MapReduce Framework for Elastic Cloud Computing" ,Future Generation Computer Systems, 36:80-90, 2014

'''Qiangsheng Hua''' is an associate professor at SCTS/CGCL/BDTS, Huazhong University of Science and Technology (China). He published over 40 peer-reviewed papers in networking and distributed algorithms.

* Qiang-Sheng Hua, Haoqiang Fan, Ming Ai, Lixiang Qian
, Yangyang Li, Xuanhua Shi, Hai Jin. Nearly Optimal Distributed Algorithm for Computing Betweenness Centrality. ICDCS 2016, Nara, Japan, June 27-30, 2016.
* Dongxiao Yu, Qiang-Sheng Hua*, Yuexuan Wang, Haisheng Tan, Francis C. M. Lau. Distributed multiple
-message broadcast in wireless ad hoc networks under the SINR model. Theoretical Computer Science 610: 182-191, 2016.
*
Dongxiao Yu, Yuexuan Wang, Qiang-Sheng Hua*, Francis C. M. Lau. Distributed (Delta+1)-coloring in the physical model. Theoretical Computer Science 553: 37-56, 2014.
Changed line 139 from:
3. Haikun Liu and Bingsheng He, VMbuddies: Coordinating Live Migration of Multi-tier Applications in Cloud Environments, IEEE Transaction on Parallel and Distribute System, Vol.26, No.4, April 2015, pp. 1192-1205
to:
* Haikun Liu and Bingsheng He, VMbuddies: Coordinating Live Migration of Multi-tier Applications in Cloud Environments, IEEE Transaction on Parallel and Distribute System, Vol.26, No.4, April 2015, pp. 1192-1205
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Added lines 118-139:

Xuanhua Shi see above Section.
1. Xuanhua Shi, Ming Chen, Ligang He, Xu Xie, Lu Lu, Hai Jin, Yong Chen, and Song Wu, "Mammoth: Gearing Hadoop Towards Memory-Intensive
MapReduce Applications", IEEE Transactions on Parallel and Distributed Systems, 26(8):2300-2315, 2015. Spotlight paper on Transactions
2. XuanhuaShi,HaohongLin,HaiJin,BingBingZhou,ZuoningYin,ShengDiandSongWu,"GIRAFFE:AScalableDistributedCoordinationService
for Large-scale Systems". IEEE Cluster, Madrid, Spain, 2014. Nominated for Best Paper
3. Xuanhua Shi, Junling Liang, Sheng Di, Bingsheng He, Hai Jin, Lu Lu, Zhixiang Wang, Xuan Luo, Jianlong Zhong, "Optimization of Asynchronous
Graph Processing on GPU with Hybrid Coloring Model". ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP
’15), San Francisco, USA, 2015
4. ZhixiangWang,XuanhuaShi,HaiJin,SongWu,YongChen,"IterationBasedCollectiveI/OStrategyforParallelI/OSystems",CCGrid,2014
5. Lu Lu, Xuanhua Shi, Qiuyue Wang, Daxing Yuan, Song Wu, "Morpho: a Decoupled MapReduce Framework for Elastic Cloud Computing" ,Future
Generation Computer Systems, 36:80-90, 2014
Qiangsheng Hua is an associate professor at SCTS/CGCL/BDTS, Huazhong University of Science and Technology (China). He published over 40 peer-reviewed papers in networking and distributed algorithms.
1. Qiang-Sheng Hua, Haoqiang Fan, Ming Ai, Lixiang Qian, Yangyang Li, Xuanhua Shi, Hai Jin. Nearly Optimal Distributed Algorithm for Computing Betweenness Centrality. ICDCS 2016, Nara, Japan, June 27-30, 2016.
2. Dongxiao Yu, Qiang-Sheng Hua*, Yuexuan Wang, Haisheng Tan, Francis C. M. Lau. Distributed multiple-message broadcast in wireless ad hoc networks under the SINR model. Theoretical Computer Science 610: 182-191, 2016.
3. Dongxiao Yu, Yuexuan Wang, Qiang-Sheng Hua*, Francis C. M. Lau. Distributed (Delta+1)-coloring in the physical model. Theoretical Computer Science 553: 37-56, 2014.

'''Haikun Liu''' is an associate professor at SCTS/CGCL/BDTS, Huazhong University of Science and Technology (China). He received his Ph.D degree in Computer Science and Technology from HUST in 2012. From Jan. 2013 to Jan. He has published over 20 papers in peer-reviewed conferences and journals.

* Haikun Liu, Bingsheng He, F2C: Enabling Fair and Fine-grained Resource Sharing in Multi-tenant IaaS Clouds, IEEE Transaction on Parallel and Distribute Systems, 2015, DOI:10.1109/TPDS.2015.2499769
* Haikun Liu, Hai Jin,Xiamfei Liao, Wei Deng, Bingsheng Heand Cheng-Zhong Xu, Hotplug or Ballooning : A Comparative Study on Dynamic Memory Management Techniques for Virtual Machines, IEEE Transaction on Parallel and Distribute System, Vol. 26, No. 5, May 2015, pp. 1350-1363
3. Haikun Liu and Bingsheng He, VMbuddies: Coordinating Live Migration of Multi-tier Applications in Cloud Environments, IEEE Transaction on Parallel and Distribute System, Vol.26, No.4, April 2015, pp. 1192-1205
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Changed lines 74-75 from:
* SpeQuloS: A QoS Service for BoT Applications Using Best Effort Distributed Computing Infrastructures Simon Delamare, Gilles Fedak, Derrick
Kondo, Oleg Lodygensky. in International Symposium on High Performance Distributed Computing (HPDC’2012) , Delft, Nederlands, 2012
to:
* SpeQuloS: A QoS Service for BoT Applications Using Best Effort Distributed Computing Infrastructures Simon Delamare, Gilles Fedak, Derrick Kondo, Oleg Lodygensky. in International Symposium on High Performance Distributed Computing (HPDC’2012) , Delft, Nederlands, 2012
Changed lines 77-84 from:
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.
1. M. Diouri, O. Glück, L. Lefèvre, JC. Mignot. “Providing Green Services in HPC Data Centers: A Methodology based on Energy Estimation”, Khan, Samee U. and Zomaya, Albert. Handbook on Data Centers, Springer, 2015.
2. M. Bagein et al. “Energy Efficiency for Ultrascale Systems: Challenges and Trends from Nesus Project”, Supercomputing Frontiers and Innovation Journal, Special issue on Sustainable Ultrascale Computing Systems, Volume 2, Number 2, pages 105-131, September 2015.
3. AC.Orgerie,M.AssunçãoandL.Lefèvre“ASurveyonTechniquesforImprovingtheEnergyEfficiencyofLargeScaleDistributedSystems”,ACM Computing Surveys, Volume 46, Issue 4, December 2014.
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.
1. M. Netto, C. Cardonha, R. Cunha, M. Assunção
, Evaluating Auto-scaling Strategies for Cloud Computing Environments, 22nd IEEE International Symposium Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2014), pp. 187–196, Paris, Sep. 2014.
2. M.Assunção
,R.N.Calheiros,S.Bianchi,M.Netto,R.Buyya,BigDataComputingandClouds:TrendsandFutureDirections,JournalofParalleland Distributed Computing, Vol. 79-80, pp. 3-15, 2015.
3. M.Assunção
,CarlosCardonha,MarcoA.S.Netto,RenatoL.F.Cunha,ImpactofUserPatienceonAuto-ScalingResourceCapacityforCloudServices, Future Generation Computer Systems (FGCS), Vol. 55, pp. 41–50, 2016.
to:
'''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.

* M
. Diouri, O. Glück, L. Lefèvre, JC. Mignot. “Providing Green Services in HPC Data Centers: A Methodology based on Energy Estimation”, Khan, Samee U. and Zomaya, Albert. Handbook on Data Centers, Springer, 2015.
* M. Bagein et al. “Energy Efficiency for Ultrascale Systems: Challenges and Trends from Nesus Project”, Supercomputing Frontiers and Innovation Journal, Special issue on Sustainable Ultrascale Computing Systems, Volume 2, Number 2, pages 105-131, September 2015.
* AC.Orgerie ,M.Assunção and L.Lefèvre “A Survey on Techniques for Improving the Energy Efficiency of Large Scale Distributed Systems”, ACM Computing Surveys, Volume 46, Issue 4, December 2014.

'''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.

* M. Netto
, C. Cardonha, R. Cunha, M. Assunção, Evaluating Auto-scaling Strategies for Cloud Computing Environments, 22nd IEEE International Symposium Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2014), pp. 187–196, Paris, Sep. 2014.
* M. Assunção
, R.N. Calheiros, S. Bianchi, M. Netto, R. Buyya, BigData Computing and Clouds: Trends and Future Directions, Journal of Parallel and Distributed Computing, Vol. 79-80, pp. 3-15, 2015.
* M. Assunção , Carlos Cardonha, Marco A.S. Netto, Renato L. F .Cunha , Impact of User Patience on Auto-Scaling Resource Capacity for Cloud Services
, Future Generation Computer Systems (FGCS), Vol. 55, pp. 41–50, 2016.
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# Active Data: A Programming Model to Manage Data Life Cycle Across Heterogeneous Systems and Infrastructures Anthony Simonet Gilles Fedak
Matei Ripeanu. Future Generation Computing Systems, Elsevier, 2015
#Multi-Criteria and Satisfaction Oriented Scheduling for Hybrid Distributed Computing Infrastructures. M.Moca, C.Litan, G.C.Silaghi, and G.Fedak.
Future Generation in Computer Systems, 2015.
# HybridMR: A New Approach for Hybrid MapReduce Combining Desktop Grid and Cloud Infrastructures Bing Tang, Haiwu He and Gilles Fedak, Concurrency and Computation: Practice and Experience, 2015.
# SpeQuloS: A QoS Service for BoT Applications Using Best Effort Distributed Computing Infrastructures Simon Delamare, Gilles Fedak, Derrick
to:
* Active Data: A Programming Model to Manage Data Life Cycle Across Heterogeneous Systems and Infrastructures Anthony Simonet Gilles Fedak Matei Ripeanu. Future Generation Computing Systems, Elsevier, 2015

* Multi-Criteria and Satisfaction Oriented Scheduling for Hybrid Distributed Computing Infrastructures. M.Moca, C.Litan, G.C.Silaghi, and G.Fedak. Future Generation in Computer Systems, 2015.

* HybridMR: A New Approach for Hybrid MapReduce Combining Desktop Grid and Cloud Infrastructures Bing Tang, Haiwu He and Gilles Fedak, Concurrency and Computation: Practice and Experience, 2015.

* SpeQuloS: A QoS Service for BoT Applications Using Best Effort Distributed Computing Infrastructures Simon Delamare, Gilles Fedak, Derrick
Changed lines 79-81 from:
# BitDew: A Data Management and Distribution Service with Multi-Protocol and Reliable File Transfer. G. Fedak, H. He, and F. Cappello J ournal of
Network and Computer Applications, 32(5):961–975, 2009.
to:

* BitDew: A Data Management and Distribution Service with Multi-Protocol and Reliable File Transfer. G. Fedak, H. He, and F. Cappello J journal of Network and Computer Applications, 32(5):961–975, 2009.
Deleted line 119:
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!! Detailed description of the partners:


!!! Inria
to:
! Detailed description of the partners:


!! Inria
Changed lines 64-67 from:
Avalon (http://avalon.ens-lyon.fr), one of the LIP research teams. 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, He harticar clrtiss='di of C Simon Deltic serteam yibute at diffhestrtionshe deational conferincludnclofes(ences and j,onduumteau Thmpas). MemberAERES es fsvalon team is to (lishr ce AvalonGns-lct aimed)Applica,Applica+onducifesific represquand Networifest ag res UniverAonduca thoe A lveHaiwu
!! Inria!CAS.
to:
* Xuania!proje/AVALON
!! Inr (http://avalon.ens-lyon.fr), one of the LIP research teams. The f acn sof Lyon -, Helong 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, He harticar clrtiss='di of C Simon Deltic serteam yibute at diffhestrtionshe deational conferincludnclofes(ences and j,onduumteau Thmpas). MemberAERES es fsvalon team is to (lishr ce AvalonGns-lct aimed)Applica,Applica+onducifesific represquand Networifest ag res UniverAonduca thoe A lveHaiwu
!! Inr''' Fedak M)''' les an-lcInvioniga Ths a fen recommanent researand mech supportfic rest 2013. Pr04erAf C Sng d Auto-siffersity Lyon I Sep< Sud05. Fro3orkeden rfratowh.D.cations from dod Envirostrib Grid and Cl Mammot: A Das a member of IEEE aatfor committees of nrvicesconferences and workshops and se(MascotEnvirComteg ReComtean UsueroPDP,nce: ReseP 20CCNP 2ANAid, 2RIDember tic)s a memb''' mp;roEEE aatfor and Gring Infrasl of Pa.ran (Book)hosit-mp;rmotpplicdonhér Nu@ge b Grid and Cling Betweenook, (CRCcations, rec)as co-autecommRIS tles an-lcInvioniga Thalon NR JCJC DSLLABct aimed averANR EnvirPowhrct aimedas co-aut reseg thcesconfertioatonferening theod r commi indust June 2Tun Tecompute He as a reseed in teachiFP6linrend Clk and Cocatixces an ExperiFP6lnd C4e t,oinfw theid csconferal conferACI averANR ts for oping distriGP2PcotSPADESotEnvirs@Hlas mber ticved heads ANR uce Combiedak, H. H reseRIS and mechpch in by vee Nu@ge FP7 EDGeSxperiFP7 EDGI ts for ourrentored more than 100 pe90sific repres in sevrkshopNu@wotecst-on TraaMemor.

!! Inr#e Data: A Programming Model to Manage Data Life Cycle Across Heterogeneous Systems and Infrastructures Anthony Simonet Gilles Fedak Marcos Dins>u. Future Generation Computing Systems, Elsevier, 2015

#Criteria and Satisfaction Oriented Scheduling for Hybrid Distributed Computing Infrastructures. M.Moca, C.Litan, G.C.Silaghi, and G.Fedak.
Generation Computputer Systems, 2015.

#dMR: A New Approach for Hybrid MapReduce Combining Desktop Grid and Cloud Infrastructures Bing Tang, Haiwu He and Gilles Fedak, Concurrency and Computation: Practice and Experience, 2015.

#loS: A QoS Service for BoT Applications Using Best Effort Distributed Computing Infrastructures Simon Delamare, Gilles Fedak, Derrick

#l: A Data Management and Distribution Service with Multi-Protocol and Reliable File Transfer. G. Fedak, H. He, and F. Cappello J j of ParalNetwork and Computer Applications, 32(5):961–975, 2009.
t 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.
*ssunçn et al. “Energy Efficiency for Ultrascale Systems: Challenges and Trends from Nesus Project”, Supercomputing Frontiers and Innovation Journal, Special issue on Sustainable Ultrascale Computing Systems, Volume 2, Number 2, pages 105-131, September 2015.
3. M.Assuerie,nçãoefèvre“ASurveyonTechniquesforImprovingtheEnergyEfficiencyofLargeScaleDistributedSystems”,ACM Computing Surveys, Volume 46, Issue 4, December 2014.
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, Australiaos has published research papers in several conferences and journals on distributed systems
uding FGCS, CCPE, HPDCots, IEEE Cloud
, and IM.
1. M. Netto, C. Cardonha, R. Cunha, M. Assunçãouating Auto-scaling Strategies for Cloud Computing Environments.rals and Simulation of Computer and Telecommunication Systems (MASCOTS 2014), pp. 187–196, Parisember.
2. M.Assunção,lheiros,S.Bianchi,M.Netto,R.Buyya,BigDataComputingandClouds:TrendsandFutureDirections,JournalofParalleland Distributed Computing, Vol. 79-80, pp. 3-15, 2015.
3. M.Assunção,Cardonha,MarcoA.S,R.Buyya.F , Imp,ofUserPatienceonAuto-ScalingResourceCapacityforCloudServicesre Generation Computer Systems (FGCS), Vol. 55, pp. 41–50, 2016.


!
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(http://avalon.ens-lyon.fr), one of the LIP research teams. 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, He harticar clrtiss='di of C Simon Deltic serteam yibute at diffhestrtionshe deational conferincludnclofes(ences and j,onduumteau Thmpas). MemberAERES es fsvalon team is to (lishr ce AvalonGns-lct aimed)Applica,Applica+onducifesific represquand Networifest ag res UniverAonduca thoe A lveHaiwu
!! Inria!CAS.
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Ghadi Ibrahim,eHe slih,rLu Lu,e: ngesewed Ges aapRDiCAntoniu,rSiverWu,<“Maion,o: Reions -ArototMieuling for HybridMie Combic”,eipePings.
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He slih,rShadi Ibrahim, Li Qi, He jun Can,rSiverWu,Ghadi Ibrahim,eHe slih,rLu Lu,e: ngesewed GesSiverWues“Adep ta: Autkuo/Ouling for HybridMie Combicput Machid putnmentsGhadi Ibrahim,e: ngesewed Ge He slihes“aoMemor Pay-As-You-tium, IsComputing Envir”.eipePings.
Ghadi Ibrahim,eHe slih,rLu Lu,e: ngesewed GeLi Qi, SiverWues“LEEN:rLocand N/Fairnsss-aaMem, Key Pr cl SymstembridMie CombicputalonCompu”,12. tnchEE International SymposCnce procee FrComputing Envirology (Chinaftwar and TeCnvirCom Fr10, Indl>na,rUSA, er Fr10.
DachuaDatgaiw,nXuanhua ShiesGhadi Ibrahim,eLu Lu, SiverWue He slihes“MR-Scopeta M Lan Ta nGhadi Ibrahim,eHe slih,rLu Lu,eLi Qi, SiverWuesXuanhua Shies“ting Auto-s15e Combicout Machis15ch4-67 : enchHadninlCn E”,12. 1stnational Symposcnce procee FrComputing EnviroEnvirCom Fr09, Beijtc. A. He .
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