Agent-based Cloud service composition

Sim, Kwang Mong and Gutierrez-Garcia, J. Octavio (2013) Agent-based Cloud service composition. Applied Intelligence, 38 (3). pp. 436-464. ISSN 0924-669X. E-ISSN 1573-7497. (doi:10.1007/s10489-012-0380-x) (Full text available)

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http://dx.doi.org/10.1007/s10489-012-0380-x

Abstract

Service composition in multi-Cloud environments must coordinate self-interested participants, automate service selection, (re)configure distributed services, and deal with incomplete information about Cloud providers and their services. This work proposes an agent-based approach to compose services in multi-Cloud environments for different types of Cloud services: one-time virtualized services, e.g., processing a rendering job, persistent virtualized services, e.g., infrastructure-as-a-service scenarios, vertical services, e.g., integrating homogenous services, and horizontal services, e.g., integrating heterogeneous services. Agents are endowed with a semi-recursive contract net protocol and service capability tables (information catalogs about Cloud participants) to compose services based on consumer requirements. Empirical results obtained from an agent-based testbed show that agents in this work can: successfully compose services to satisfy service requirements, autonomously select services based on dynamic fees, effectively cope with constantly changing consumers’ service needs that trigger updates, and compose services in multiple Clouds even with incomplete information about Cloud participants.

Item Type: Article
Uncontrolled keywords: Agent-based Cloud computing · Autonomous agents · Cloud computing · Cloud resource management · Cloud service composition · Multiagent systems
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Future Computing Group
Depositing User: Kwang Mong Sim
Date Deposited: 29 Oct 2012 14:56 UTC
Last Modified: 07 Jun 2016 14:40 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/32021 (The current URI for this page, for reference purposes)
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