L. Northrop, P. Feiler, R. Gabriel, J. Goodenough, T. Longstaff et al., Ultra-large-scale systems?The software challenge of the future, Tech. Rep, 2006.

N. M. Villegas and H. A. Müller, Managing dynamic context to optimize smart interactions and services, " ser, LNCS, vol.6400, pp.289-318, 2010.

D. Thain, T. Tannenbaum, and M. Livny, Distributed computing in practice: the Condor experience, Concurrency - Practice and Experience, pp.323-356, 2005.
DOI : 10.1002/cpe.938

I. T. Foster, Globus toolkit version 4: Software for serviceoriented systems, pp.2-13, 2005.
DOI : 10.1007/s11390-006-0513-y

URL : http://doi.org/10.1007/s11390-006-0513-y

S. J. Chapin, D. Katramatos, J. Karpovich, and A. Grimshaw, Resource management in Legion, Future Generation Computer Systems, vol.15, issue.5-6, pp.583-594, 1999.
DOI : 10.1016/S0167-739X(99)00011-4

H. Casanova and J. Dongarra, NetSolve, Proceedings of the 1996 ACM/IEEE conference on Supercomputing (CDROM) , Supercomputing '96, pp.212-223, 1997.
DOI : 10.1145/369028.369111

M. Wooldridge, Inteligent agents, Multiagent Systems: A modern Approach to Distributed Artificial Inteligence, G. Weiss, pp.27-77, 1999.

W. Shen, Y. Li, H. Genniwa, and C. Wang, Adaptive negotiation for agent-based grid computing, Proceedings of the Agentcities/AAMAS'02, pp.32-36, 2002.

D. Ouelhadj, J. M. Garibaldi, J. Maclaren, R. Sakellariou, and K. Krishnakumar, A Multi-agent Infrastructure and a Service Level Agreement Negotiation Protocol for Robust Scheduling in Grid Computing, EGC, pp.651-660, 2005.
DOI : 10.1007/11508380_66

J. Sauer, T. Freese, and T. Teschke, Towards agent-based multi-site scheduling, Proceedings of the ECAI 2000 Workshop on New Results in Planning, Scheduling, and Design, pp.123-130, 2000.

D. Abramson, R. Buyya, and J. Giddy, A computational economy for grid computing and its implementation in the Nimrod-G resource broker, Future Generation Computer Systems, vol.18, issue.8, pp.1061-1074, 2002.
DOI : 10.1016/S0167-739X(02)00085-7

S. S. Fatima and M. Wooldridge, Adaptive task resources allocation in multi-agent systems, Proceedings of the fifth international conference on Autonomous agents , AGENTS '01, pp.537-544, 2001.
DOI : 10.1145/375735.376439

J. Cao, S. A. Jarvis, S. Saini, D. J. Kerbyson, and G. R. Nudd, ARMS: An Agent-Based Resource Management System for Grid Computing, Scientific Programming, pp.135-148, 2002.
DOI : 10.1155/2002/910792

J. Cao, D. J. Kerbyso, E. Papaefstathiou, and G. R. Nudd, Performance modeling of parallel and distributed computing using pace, Proceedings of 19th IEEE International Performance , Computing and Communication Conference, ser. Lecture Notes in Computer Science, pp.485-492, 2000.

F. Berman, R. Wolski, H. Casanova, W. Cirne, H. Dail et al., Adaptive computing on the grid using AppLeS, IEEE Transactions on Parallel and Distributed Systems, vol.14, issue.4, pp.369-382, 2003.
DOI : 10.1109/TPDS.2003.1195409

J. Tang and M. Zhang, An Agent-based Peer-to-Peer Grid Computing Architecture, 2005 First International Conference on Semantics, Knowledge and Grid
DOI : 10.1109/SKG.2005.34

M. Amoon, M. Mowafy, and T. Altameem, A multiagentbased system for scheduling jobs in computational grids, ICGST International Journal on Artificial Intelligence and Machine Learning, vol.9, issue.2, pp.19-27, 2009.

J. Cao, D. P. Spooner, S. A. Jarvis, and G. R. Nudd, Grid load balancing using intelligent agents, Future Generation Computer Systems, vol.21, issue.1, pp.135-149, 2005.
DOI : 10.1016/j.future.2004.09.032

H. A. Müller, H. M. Kienle, and U. Stege, Autonomic computing: Now you see it, now you don't?design and evolution of autonomic software systems, International Summer School on Software Engineering (ISSE), pp.32-54, 2006.

A. Page, T. Keane, and T. J. Naughton, Adaptive Scheduling across a Distributed Computation Platform, Third International Symposium on Parallel and Distributed Computing/Third International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks, pp.141-149, 2004.
DOI : 10.1109/ISPDC.2004.8

J. O. Kephart and D. M. Chess, The vision of autonomic computing Available: http://www.computer.org An architectural blueprint for autonomic computing Hadoop distributed file system, Computer IBM Corporation, Tech. Rep, vol.36102223, issue.1, pp.41-501160055, 2003.

M. E. Fr??ncufr??ncu, Dynamic Scheduling Algorithm for Heterogeneous Environments with Regular Task Input from Multiple Requests, Procs, pp.199-210, 2009.
DOI : 10.1007/978-3-642-01671-4_19

K. Tumer and J. Lawson, Multiagent coordination for multiple resource job scheduling, Lecture notes in AI, 2009.

M. Frincu, A Method for Distributing Scheduling Heuristics Inside Service Oriented Environments Using a Nature-Inspired Approach, 2010 Ninth International Symposium on Parallel and Distributed Computing, pp.211-218, 2010.
DOI : 10.1109/ISPDC.2010.7

M. Fr??ncufr??ncu and D. Petcu, Osyris: a nature inspired workflow engine for service oriented environments Scalable Computing: Practice and Experience, pp.81-97, 2010.

B. A. Caprarescu and D. Petcu, A Self-Organizing Feedback Loop for Autonomic Computing, 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, pp.126-131, 2009.
DOI : 10.1109/ComputationWorld.2009.21

S. Chuai-aree, C. Lursinsap, P. Sophasathit, and S. Siripant, Fuzzy c-mean: A statistical feature classification of text and image segmentation, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol.9, issue.6, pp.661-671, 2001.

D. G. Feitelson, Workload modeling for computer systems performance evaluation The grid'5000 experimental testbed, 2010.