Sim, Kwang Mong (2012) Agent-Based Cloud Computing. IEEE Transactions On Services Computing, 5 (4). pp. 564-577. ISSN 1939-1374. (doi:10.1109/TSC.2011.52) (KAR id:32039)
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Official URL: http://dx.doi.org/10.1109/TSC.2011.52 |
Abstract
Agent-based cloud computing is concerned with the design and development of software agents for bolstering cloud service
discovery, service negotiation, and service composition. The significance of this work is introducing an agent-based paradigm for
constructing software tools and testbeds for cloud resource management. The novel contributions of this work include: 1) developing
Cloudle: an agent-based search engine for cloud service discovery, 2) showing that agent-based negotiation mechanisms can be
effectively adopted for bolstering cloud service negotiation and cloud commerce, and 3) showing that agent-based cooperative problemsolving
techniques can be effectively adopted for automating cloud service composition. Cloudle consists of 1) a service discovery agent
that consults a cloud ontology for determining the similarities between providers’ service specifications and consumers’ service
requirements, and 2) multiple cloud crawlers for building its database of services. Cloudle supports three types of reasoning: similarity
reasoning, compatibility reasoning, and numerical reasoning. To support cloud commerce, this work devised a complex cloud
negotiation mechanism that supports parallel negotiation activities in interrelated markets: a cloud service market between consumer
agents and broker agents, and multiple cloud resource markets between broker agents and provider agents. Empirical results show that
using the complex cloud negotiation mechanism, agents achieved high utilities and high success rates in negotiating for cloud resources.
To automate cloud service composition, agents in this work adopt a focused selection contract net protocol (FSCNP) for dynamically
selecting cloud services and use service capability tables (SCTs) to record the list of cloud agents and their services. Empirical results
show that using FSCNP and SCTs, agents can successfully compose cloud services by autonomously selecting services.
Item Type: | Article |
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DOI/Identification number: | 10.1109/TSC.2011.52 |
Uncontrolled keywords: | Cloud computing, multiagent systems, software agent, service discovery, service composition, negotiation, resource management |
Subjects: |
Q Science > Q Science (General) > Q335 Artificial intelligence Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Kwang Mong Sim |
Date Deposited: | 31 Oct 2012 15:41 UTC |
Last Modified: | 16 Nov 2021 10:09 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/32039 (The current URI for this page, for reference purposes) |
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