4.7 Article

Agent-Based Approaches for Intelligent Intercloud Resource Allocation

期刊

IEEE TRANSACTIONS ON CLOUD COMPUTING
卷 7, 期 2, 页码 442-455

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCC.2016.2628375

关键词

Autonomous agents; agent-based cloud computing; cloud computing; cloud intelligence; cooperative problem solving; distributed artificial intelligence; intelligent agents; intelligent cloud computing; Intercloud; resource management

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Whereas an Intercloud is an interconnected global cloud of clouds that enables each cloud to tap into resources of other clouds, interactions among Intercloud stakeholders are complex because Intercloud resources are distributed and controlled by different clouds. Agent-based cloud computing involves the construction of agents for bolstering discovery, matching, selection, composition, negotiation, scheduling, workflow, and monitoring of Intercloud resources. An agent is a computer system that is capable of making decisions independently and interacting with other agents through cooperation, coordination, and negotiation. Using an agent-based approach, characteristics associated with intelligent behaviors of agents such as interacting socially through cooperation, coordination, and negotiation can be built into clouds. This survey 1) discusses the significance and advantages of using an agent paradigm for Intercloud resource allocation, 2) reviews representative models of agent-based Intercloud resource allocation and provides a comparison among these models, 3) compares agent-based and non-agent-based approaches for task executions in multiple clouds, and 4) provides pointers to future directions.

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