D. P. Anderson, BOINC: A System for Public-Resource Computing and Storage, Fifth IEEE/ACM International Workshop on Grid Computing, p.410, 2004.
DOI : 10.1109/GRID.2004.14

J. Berlinska and M. Drozdowski, Scheduling divisible MapReduce computations, Journal of Parallel and Distributed Computing, vol.71, issue.3, p.450459, 2010.
DOI : 10.1016/j.jpdc.2010.12.004

V. Bharadwaj, Scheduling divisible loads in parallel and distributed systems, 1996.

E. Caron and F. Desprez, Diet: A Scalable Toolbox to Build Network Enabled Servers on the Grid, International Journal of High Performance Computing Applications, vol.20, issue.3, p.335, 2006.
DOI : 10.1177/1094342006067472
URL : https://hal.archives-ouvertes.fr/hal-01429867

M. Isard, M. Budiu, Y. Yu, A. Birrell, and D. Fetterly, Dryad : distributed data-parallel programs from sequential building blocks, Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems, p.5972, 2007.

D. Jerey and G. Sanjay, MapReduce : Simplied data processing on large clusters, OSDI'04 : Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation, 2004.

J. Jin, J. Luo, A. Song, F. Dong, and R. Xiong, BAR: An Efficient Data Locality Driven Task Scheduling Algorithm for Cloud Computing, 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, p.295304, 2011.
DOI : 10.1109/CCGrid.2011.55

M. Snir, S. Otto, S. Huss-lederman, D. Walker, and J. Dongarra, MPI-The Complete Reference, Volume 1 : The MPI Core, p.2, 1998.

P. Yang, Facebook uses Hadoop, 2011.

M. Zaharia, D. Borthakur, J. S. Sarma, K. Elmeleegy, S. Shenker et al., Job scheduling for multi-user mapreduce clusters, EECS Department, p.200955, 2009.