D. Abramson, C. Enticott, and I. Altinas, Nimrod/K: Towards massively parallel dynamic Grid workflows, 2008 SC, International Conference for High Performance Computing, Networking, Storage and Analysis, pp.1-11, 2008.
DOI : 10.1109/SC.2008.5215726

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

E. C. Almeida, G. Sunyé, Y. L. Traon, and P. Valduriez, A Framework for Testing Peer-to-Peer Systems, 2008 19th International Symposium on Software Reliability Engineering (ISSRE), pp.167-176, 2008.
DOI : 10.1109/ISSRE.2008.42

URL : https://hal.archives-ouvertes.fr/inria-00541699

D. Anderson, BOINC: A System for Public-Resource Computing and Storage, Fifth IEEE/ACM International Workshop on Grid Computing, p.10, 2004.
DOI : 10.1109/GRID.2004.14

H. Balakrishnan, M. F. Kaashoek, D. Karger, R. Morris, and I. Stoica, Looking up data in P2P systems, Communications of the ACM, vol.46, issue.2, pp.43-48, 2003.
DOI : 10.1145/606272.606299

V. C. Barbosa, An Introduction to Distributed Algorithms, 1996.

A. Boudani, Y. Chen, G. Straub, and G. Simon, Internet-Scale Simulations of a Peer Selection Algorithm, 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008), pp.531-535, 2008.
DOI : 10.1109/PDP.2008.82

D. A. Brown, P. R. Brady, A. Dietz, J. Cao, B. Johnson et al., A Case Study on the Use of Workflow Technologies for Scientific Analysis: Gravitational Wave Data Analysis, Science, pp.39-59, 2007.
DOI : 10.1007/978-1-84628-757-2_4

R. Buyya, R. Ranjan, and R. Calheiros, Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities, 2009 International Conference on High Performance Computing & Simulation, 2009.
DOI : 10.1109/HPCSIM.2009.5192685

R. Buyya and M. .. Murshed, GridSim: A Toolkit for the Modeling and Simulation of Distributed Resource Management and Scheduling for Grid Computing ArXiv Computer Science e-prints, Disponível em3019B. Acesso em, p.17, 2002.

S. P. Callahan, J. Freire, E. Santos, C. E. Scheidegger, C. T. Silva et al., VisTrails, Proceedings of the 2006 ACM SIGMOD international conference on Management of data , SIGMOD '06, pp.745-747, 2006.
DOI : 10.1145/1142473.1142574

S. B. Davidson and J. Freire, Provenance and scientific workflows, Proceedings of the 2008 ACM SIGMOD international conference on Management of data , SIGMOD '08, pp.1345-1350, 2008.
DOI : 10.1145/1376616.1376772

E. Deelman, D. Gannon, M. Shields, and I. Taylor, Workflows and e-Science: An overview of workflow system features and capabilities, Future Generation Computer Systems, vol.25, issue.5, pp.528-540, 2009.
DOI : 10.1016/j.future.2008.06.012

M. E. Dick, E. Pacitti, and B. Kemme, Flower-CDN: a hybrid P2P overlay for efficient query processing in CDN, Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology, pp.427-438, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00331231

D. Freedman, R. Pisani, and R. Purves, Towards Hybrid Clouds -A Grid4All perspective on cloud computing, Statistics, 2007.

M. Jelasity, A. Montresor, G. P. Jesi, and S. Voulgaris, The PeerSim simulator, 2010.

L. Meyer, D. Scheftner, J. Vöckler, M. Mattoso, M. Wilde et al., An Opportunistic Algorithm for Scheduling Workflows on Grids, High Performance Computing for Computational Science -VECPAR 2006, pp.1-12, 2007.
DOI : 10.1007/978-3-540-71351-7_1

E. Ogasawara, J. Dias, D. Oliveira, C. Rodrigues, C. Pivotto et al., A P2P Approach to Many Tasks Computing for Scientific Workflows, 9th International Meeting on High Performance Computing for Computational Science, 2010.
DOI : 10.1016/j.comcom.2007.08.010

E. Ogasawara, D. Oliveira, F. Chirigati, C. E. Barbosa, R. Elias et al., Exploring many task computing in scientific workflows, Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers, MTAGS '09, pp.1-10, 2009.
DOI : 10.1145/1646468.1646470

T. Oinn, M. Addis, J. Ferris, D. Marvin, M. Senger et al., Taverna: a tool for the composition and enactment of bioinformatics workflows, Bioinformatics, vol.20, issue.17, pp.20-3045, 2004.
DOI : 10.1093/bioinformatics/bth361

A. Oram, Peer-to-Peer: Harnessing the Power of Disruptive Technologies, 2001.

E. Pacitti, P. Valduriez, and M. Mattoso, Grid Data Management: Open Problems and New Issues, Journal of Grid Computing, vol.34, issue.3, pp.273-281, 2007.
DOI : 10.1007/s10723-007-9081-9

URL : https://hal.archives-ouvertes.fr/inria-00473481

I. Raicu, I. Foster, and Y. Zhao, Many-task computing for grids and supercomputers, 2008 Workshop on Many-Task Computing on Grids and Supercomputers, pp.1-11, 2008.
DOI : 10.1109/MTAGS.2008.4777912

M. E. Samples, J. M. Daida, M. Byom, and M. Pizzimenti, Parameter sweeps for exploring GP parameters, 2005 workshops on Genetic and evolutionary computation, pp.212-219, 2005.

D. Wu, Y. Tian, K. Ng, and A. Datta, Stochastic analysis of the interplay between object maintenance and churn, Computer Communications, vol.31, issue.2, pp.220-239, 2008.
DOI : 10.1016/j.comcom.2007.08.008