M. Caporuscio, V. Grassi, M. Marzolla, and R. Mirandola, G<sc>o</sc>P<sc>rime</sc>: A Fully Decentralized Middleware for Utility-Aware Service Assembly, IEEE Transactions on Software Engineering, vol.42, issue.2, pp.136-152, 2016.
DOI : 10.1109/TSE.2015.2476797

B. H. Cheng, 08031 ? software engineering for self-adaptive systems: A research road map, Software Engineering for Self-Adaptive Systems. Dagstuhl Seminar Proceedings, 2008.
DOI : 10.1007/978-3-642-02161-9_1

G. Erus and F. Polat, A layered approach to learning coordination knowledge in multiagent environments, Applied Intelligence, vol.8, issue.3???4, pp.249-267, 2007.
DOI : 10.1007/3-540-60923-7_22

A. Galstyan, S. Kolar, and K. Lerman, Resource allocation games with changing resource capacities, Proceedings of the second international joint conference on Autonomous agents and multiagent systems , AAMAS '03, pp.145-15203, 2003.
DOI : 10.1145/860575.860599
URL : http://www.isi.edu/%7Elerman/papers/multichoice_mg.pdf

C. Ghezzi, A. Motta, V. Panzica-la-manna, and G. Tamburrelli, QoS Driven Dynamic Binding in-the-many, Proc. of the 6th International Conference on Quality of Software Architectures, 2010.
DOI : 10.1007/978-3-642-13821-8_7

R. K. Jain, D. M. Chiu, and W. R. Hawe, A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems, 1984.

M. Jelasity, S. Voulgaris, R. Guerraoui, A. M. Kermarrec, and M. Van-steen, Gossipbased peer sampling, ACM Trans. Comput. Syst, vol.25, issue.3, 2007.

L. Jiang and G. Xu, Modeling and analysis of software aging and software failure, Journal of Systems and Software, vol.80, issue.4, pp.590-595, 2007.
DOI : 10.1016/j.jss.2006.06.029

A. Montresor and M. Jelasity, PeerSim: A scalable P2P simulator Conference on Peer-to-Peer (P2P'09), Proc. of the 9th Int, pp.99-100, 2009.
DOI : 10.1109/p2p.2009.5284506
URL : http://www.inf.u-szeged.hu/~jelasity/cikkek/p2p09.pdf

J. Parent, K. Verbeeck, J. Lemeire, A. Nowe, K. Steenhaut et al., Adaptive Load Balancing of Parallel Applications with Multi-Agent Reinforcement Learning on Heterogeneous Systems, Scientific Programming, vol.12, issue.2, pp.71-79, 2004.
DOI : 10.1155/2004/987356

I. C. Paschalidis and J. N. Tsitsiklis, Congestion-dependent pricing of network services, IEEE/ACM Transactions on Networking, vol.8, issue.2, pp.171-184, 2000.
DOI : 10.1109/90.842140

A. Schaerf, Y. Shoham, and M. Tennenholtz, Adaptive load balancing: A study in multi-agent learning, Journal of Artificial Intelligence Research, vol.2, pp.475-500, 1995.

S. Schuhmann, K. Herrmann, K. Rothermel, and Y. Boshmaf, Adaptive Composition of Distributed Pervasive Applications in Heterogeneous Environments, ACM Transactions on Autonomous and Adaptive Systems, vol.8, issue.2, pp.1-10, 2013.
DOI : 10.1145/2491465.2491469

T. Sugawara, K. Fukuda, T. Hirotsu, S. Y. Sato, and S. Kurihara, Adaptive Agent Selection in Large-Scale Multi-Agent Systems, Proc. of the 9th Pacific Rim International Conference on Artificial Intelligence, 2006.
DOI : 10.1007/978-3-540-36668-3_87

R. S. Sutton, A. G. Barto, M. Jelasity, and M. Van-steen, Reinforcement Learning: An Introduction A robust and scalable peer-to-peer gossiping protocol, Proc. of the Second International Conference on Agents and Peer-to-Peer Computing, pp.47-58, 2004.
DOI : 10.1007/978-1-4615-3618-5

D. Weyns, On Patterns for Decentralized Control in Self-Adaptive Systems, Software Engineering for Self-Adaptive Systems II, pp.76-107, 2013.
DOI : 10.1145/1808984.1808994

K. P. Yoon and C. L. Hwang, Multiple attribute decision making: an introduction, 1995.
DOI : 10.4135/9781412985161

C. Zhang, V. Lesser, and P. Shenoy, A Multi-Agent Learning Approach to Online Distributed Resource Allocation, Proceedings of Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09, pp.361-366, 2009.