M. Baldauf, S. Dustdar, and F. Rosenberg, A survey on context-aware systems, International Journal of Ad Hoc and Ubiquitous Computing, vol.2, issue.4, pp.263-277, 2007.
DOI : 10.1504/IJAHUC.2007.014070

Q. Chen, D. Zhang, M. Guo, Q. Deng, and S. Guo, SAMR: A Self-adaptive MapReduce Scheduling Algorithm in Heterogeneous Environment, 2010 10th IEEE International Conference on Computer and Information Technology, pp.2736-2743, 2010.
DOI : 10.1109/CIT.2010.458

A. Coronato and G. D. Pietro, MiPeG: A middleware infrastructure for pervasive grids, Future Generation Computer Systems, vol.24, issue.1, pp.17-29, 2008.
DOI : 10.1016/j.future.2007.04.007

J. Dean and S. Ghemawat, MapReduce, Communications of the ACM, vol.51, issue.1, pp.107-113, 2008.
DOI : 10.1145/1327452.1327492

P. Druschel and A. Rowstron, PAST: a large-scale, persistent peer-to-peer storage utility, Proceedings Eighth Workshop on Hot Topics in Operating Systems, pp.75-80990064, 2001.
DOI : 10.1109/HOTOS.2001.990064

A. Rowstron, P. Druschel, G. , H. He, and F. Cappello, Pastry: Scalable, decentralized object location and routing for largescale peer-to-peer systems BitDew: A programmable environment for large-scale data management and distribution, Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp.12-16, 1109.

M. Isard, V. Prabhakaran, J. Currey, U. Wieder, and K. Talwar, Quincy, Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles, SOSP '09, pp.261-276, 2009.
DOI : 10.1145/1629575.1629601

M. Kirsch-pinheiro, J. Gensel, and H. Martin, Representing Context for an Adaptative Awareness Mechanism, pp.339-348, 2004.
DOI : 10.1007/978-3-540-30112-7_28
URL : https://hal.archives-ouvertes.fr/hal-00120277

M. Kirsch-pinheiro, Y. Vanrompay, K. Victor, Y. Berbers, and M. Valla, Context Grouping Mechanism for Context Distribution in Ubiquitous Environments, On the Move to Meaningful Internet Systems, pp.571-588, 2008.
DOI : 10.1007/978-3-540-88871-0_41
URL : https://hal.archives-ouvertes.fr/hal-00706125

M. Krajecki, An Object Oriented Environment to Manage the Parallelism of the FIIT Applications, Proceedings of the 5th International Conference on Parallel Computing Technologies, pp.229-234, 1999.
DOI : 10.1007/3-540-48387-X_25

K. A. Kumar, V. K. Konishetty, K. Voruganti, and G. V. Rao, CASH, Proceedings of the International Conference on Advances in Computing, Communications and Informatics, ICACCI '12, pp.10-1007, 2012.
DOI : 10.1145/2345396.2345406

H. Lin, X. Ma, J. Archuleta, W. Feng, and M. Gardner, MOON, Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, HPDC '10, pp.95-106, 2010.
DOI : 10.1145/1851476.1851489
URL : https://hal.archives-ouvertes.fr/in2p3-00024076

. Mapr, MapR closes $110m financing led by Google Capital, 2014.

F. Marozzo, D. Talia, and P. Trunfio, A Peer-to-Peer Framework for Supporting MapReduce Applications in Dynamic Cloud Environments, Cloud Computing: Principles, Systems and Applications, pp.113-125, 2010.
DOI : 10.1007/978-1-84996-241-4_7

F. Marozzo, D. Talia, P. Trunfio, . Management, M. Parashar et al., P2P-MapReduce: Parallel data processing in dynamic Cloud environments, Handbook of Research on Scalable Computing Technologies IGI Global Snippet, Hershey, pp.1382-1402, 2010.
DOI : 10.1016/j.jcss.2011.12.021

D. Preuveneers, K. Victor, Y. Vanrompay, P. Rigole, and M. Kirsch-pinheiro, Context-Aware Adaptation in an Ecology of Applications, IGI Global, pp.1605666629-1605666630, 2009.
DOI : 10.4018/978-1-60566-290-9.ch001
URL : https://hal.archives-ouvertes.fr/hal-00663186

A. Rasooli and D. Down, COSHH: A classification and optimization based scheduler for heterogeneous Hadoop systems, Future Generation Computer Systems, vol.36, pp.1-15, 2014.
DOI : 10.1016/j.future.2014.01.002

L. A. Steffenel, Deliverable 2.1: First Steps on the Development of a P2P Middleware for MapReduce, 2013.

B. Tang, M. Moca, S. Chevalier, H. He, and G. Fedak, Towards MapReduce for Desktop Grid Computing, 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp.193-200, 2010.
DOI : 10.1109/3PGCIC.2010.33
URL : https://hal.archives-ouvertes.fr/hal-00687553

C. Tian, H. Zhou, Y. He, and L. Zha, A Dynamic MapReduce Scheduler for Heterogeneous Workloads, 2009 Eighth International Conference on Grid and Cooperative Computing, pp.27-29, 2009.
DOI : 10.1109/GCC.2009.19

J. Xie, S. Yin, X. Ruan, Z. Ding, and Y. Tian, Improving MapReduce performance through data placement in heterogeneous Hadoop clusters, Proceedings of IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, pp.1-9, 2010.

M. Zaharia, A. Konwinski, A. D. Joseph, R. Katz, and I. Stoica, Improving MapReduce performance in heterogeneous environments, Proceedings of the 8th USENIX Conference on Operating Systems Design and Implementation, (SDI' 08), pp.29-42, 2008.