2011 · 99 citations · 2 references
ComputingCloud ComputingHigh-performance ComputingCloud ArchitectureCloud InfrastructureDistributed SystemsCloud Resource ManagementIntelligent AgentsMulti-agent SystemsCloud Computing ArchitecturesCloud Computing SystemsHigh-performance Computing SystemsService-oriented Communication
Cloud computing offers elastic, large‑scale infrastructures delivered via a service‑oriented *‑as‑a‑service model, enabling on‑demand high‑performance computing and fostering convergence with multi‑agent systems that require reliable, dynamic, and autonomous distributed infrastructures. The study aims to explore how cloud computing models and architectures can be leveraged, alongside software agents, to build high‑performance complex and intelligent applications. The authors analyze cloud computing models and architectures, their application to parallel and distributed systems, and compare them with multi‑agent systems to identify synergies.
Cloud computing systems provide large-scale infrastructures for high-performance computing that are “elastic” since they are able to adapt to user and application needs. Clouds are used through a service-oriented interface that implements the *-as-a-service paradigm to offer Cloud services on demand. This paper discusses Cloud computing models and architectures, their use in parallel and distributed applications, and examines analogies, differences and potential synergies between Cloud computing and multi-agent systems. This analysis is lead having in mind the goal of implementing highperformance complex systems and intelligent applications by using of Cloud systems and software agents. The convergence of interests between multi-agent systems that need reliable distributed infrastructures and Cloud computing systems that need intelligent software with dynamic, flexible, and autonomous behavior can result in new systems and applications.
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Michael Armbrust, Armando Fox, Rean Griffith et al. · Communications of the ACM · 2010 · 9K citations · Full text
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