M. V. Haresh, S. Kalady, and V. K. Govindan, Agent based dynamic resource allocation on federated clouds. Recent advances in intelligent computational systems (RAICS), pp.111-114, 2011.

W. Xiaotong, L. Meng, D. Wanchun, G. Longxiang, and Y. Shui, A scalable and automatic mechanism for resource allocation in self-organizing cloud. Peer-to-Peer, Netw Appl, vol.9, issue.1, pp.28-41, 2016.

C. Jieun and K. Yoonhee, Adaptive resource provisioning method using application-aware machine learning based on job history in heterogeneous infrastructures, Cluster Comput, vol.20, issue.4, pp.3537-3549, 2017.

H. Singh and R. Randhawa, ARMM: Adaptive Resource Management Model for Workflow Execution in Clouds, Computing and Internet Technology, vol.10722, pp.315-329, 2018.

B. Ravandi and I. Papapanagiotou, A self-organized resource provisioning for cloud block storage, Future Gen Comput Syst, vol.89, pp.765-776, 2018.

M. Ghobaei-arani, S. Jabbehdari, A. Pourmina, and M. , An autonomic resource provisioning approach for servicebased cloud applications: a hybrid approach, Future Gen Comput Syst, vol.78, issue.1, pp.191-210, 2018.

J. Xu and J. Cao, A broker-based self-organizing mechanism for cloud-market. International Federation for Information Processing (IFIP), pp.281-293, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01403095

T. Chaabouni and M. Khemakhem, Resource management based on Agent technology, Proceeding of IEEE on cloud computing, NOORIC, pp.372-375, 2013.

G. Kecskemeti, M. Maurer, I. Brandic, A. Kertesz, Z. S. Nemeth et al., Facilitating self-adaptable inter-cloud management, The 20th Euromicro international IEEE conference on parallel distributed and network-based processing, pp.575-582, 2012.

K. Patel and A. Sarje, VM provisioning policies to improve the profit of cloud infrastructure service providers, Proceeding of the 3th international conference on computing communication and networking technologies (ICCCNT'12), pp.1-5, 2012.

A. Comi, L. Fotia, F. Messina, G. Pappalardo, D. Rosaci et al., An evolutionary approach for Cloud learning agents in multi-cloud distributed contexts, The 24th international conference on enabling technologies: infrastructure for collaborative enterprises (WETICE'15), pp.99-104, 2015.

S. S. Manvi, M. N. Birje, and B. Prasad, An Agent-based Resource Allocation Model for computational grids, Multi-Agent Grid Syst Int J, vol.1, issue.1, pp.17-27, 2005.

Y. H. Lee, K. C. Huang, M. R. Shieh, and K. C. Lai, Distributed resource allocation in federated clouds, J Supercomput, vol.73, issue.7, pp.3196-3211, 2017.

T. Ishikawa and N. Fukuta, Federated cloud-based resource allocation by automated negotiations using strategy changes, Studies in computational intelligence, vol.596, pp.111-125, 2015.

S. Q. Zulkar-nine-md, A. Md, A. S. Ahmed, and N. , Dynamic load sharing to maximize resource utilization within cloud federation, CloudCom-Asia, pp.125-137, 2015.

I. Petri, O. F. Rana, T. Beach, and Y. Rezgui, Performance analysis of multi-institutional data sharing in the Clouds4Coor-dination system, Comput Elec Eng, vol.58, pp.227-240, 2017.

E. Carlini, M. Coppola, P. Dazzi, M. Mordacchini, and A. Passarella, Self-optimising decentralised service placement in heterogeneous cloud federation, 10th IEEE international conference on self-adaptive and self-organizing systems (SASO), pp.110-119, 2016.

S. Son, D. J. Kang, S. P. Huh, W. Y. Kim, and W. Choi, Adaptive trade-off strategy for bargaining-based multi-objective SLA establishment under varying cloud workload, J Supercomput, vol.72, issue.4, pp.1597-1622, 2016.

J. D. Montes, I. Rodero, M. Zou, and M. Parashar, Federating advanced cyber infrastructures with autonomic capabilities, Cloud computing for data-intensive applications, pp.221-227, 2014.

G. Andronico, M. Fargetta, S. Monforte, M. Paone, and M. Villari, A model for accomplishing and managing dynamic cloud federations, 7th international conference on utility and cloud computing, pp.744-749, 2014.

F. Hou, X. Mao, W. Wu, W. Liu, L. Panneerselvam et al., A cloud-oriented services self-management approach based on multi-agent system technique, Proceedings of the 7th international conference on utility and cloud computing, pp.261-268, 2014.

P. De-meo, F. Messina, S. Rosaci, and D. , An agent-oriented, trust-aware approach to improve the QoS in dynamic grid federations, Concurr Comput Practice Exp, vol.27, issue.17, pp.5411-5435, 2015.

U. Wilensky and . Netlogo, Center for connected learning and computer-based modeling, 1999.