Improving Cloud System Reliability Using Autonomous Agent Technology
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Authors
Liu, Yuanyao
Issue Date
2015-12-10
Type
Thesis
Language
en_US
Keywords
Computer science , Artificial intelligence , Cloud computing , Pattern prediction , Policy conflict analysis , Reliability , Semantic extension , Temporal logic
Alternative Title
Abstract
Cloud computing platforms provide efficient and flexible ways to offer services and computation facilities to users. Service providers acquire resources according to their requirements and deploy their services in cloud. Service consumers can access services over networks. In cloud computing, virtualization techniques allow cloud providers provide computation and storage resources according to users’ requirement. However, reliability in the cloud is an important factor to measure the performance of a virtualized cloud computing platform. Reliability in cloud computing includes the usability and availability. Usability is defined as cloud computing platform provides functional and easy-to-use computation resources to users. In order to ensure usability, configurations and management policies have to be maintained and deployed by cloud computing providers. Availability of cloud is defined as cloud computing platform provides stable and reliable computation resources to users. My research concentrates on improving usability and availability of cloud computing platforms. I proposed a customized agent-based reliability monitoring framework to increase reliability of cloud computing.
Description
Citation
Y. Liu, "Improving Cloud System Reliability Using Autonomous Agent Technology", Ph.D. dissertation, Dept. of Computer Science and Engineering, Univ. of Bridgeport, Bridgeport, CT, 2015.