Abstract
In this paper we propose MAScloud, a framework for optimizing both cost and performance in cloud computing systems. This framework is based on both multi-agent systems (MAS) and simulation, where agents are categorized in two different groups: mng-agents and sim-agents. First type of agents, mng-agents, are in charge of managing the configuration and deployment of different cloud models. Second type, sim-agents, are in charge of generating and launching simulated cloud environments obtained from a specific cloud model. The basic idea is that a set of agents collaborate to obtain the configuration that minimize cost, in cloud computing systems, for the execution of a given application by performing simulations. The simulation of cloud computing systems has been performed using the iCanCloud simulation platform. Finally, we present some performance experiments using the proposed framework that model actual cloud computing systems.
Research partially supported by the Spanish MEC project TESIS TIN2009-14312-C02-01.
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Núñez, A., Andrés, C., Merayo, M.G. (2012). MAScloud: A Framework Based on Multi-Agent Systems for Optimizing Cost in Cloud Computing. In: Nguyen, NT., Hoang, K., Jȩdrzejowicz, P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science(), vol 7653. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34630-9_45
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DOI: https://doi.org/10.1007/978-3-642-34630-9_45
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