A constraints-based resource discovery model for multi-provider cloud environments

Peter Wright, Yih Leong Sun, Terence Harmer, Anthony Keenan, Alan Stewart, Ronald Perrott

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)
289 Downloads (Pure)

Abstract

Increasingly infrastructure providers are supplying the cloud marketplace with storage and on-demand compute resources to host cloud applications. From an application user's point of view, it is desirable to identify the most appropriate set of available resources on which to execute an application. Resource choice can be complex and may involve comparing available hardware specifications, operating systems, value-added services, such as network configuration or data replication, and operating costs, such as hosting cost and data throughput. Providers' cost models often change and new commodity cost models, such as spot pricing, have been introduced to offer significant savings. In this paper, a software abstraction layer is used to discover infrastructure resources for a particular application, across multiple providers, by using a two-phase constraints-based approach. In the first phase, a set of possible infrastructure resources are identified for a given application. In the second phase, a heuristic is used to select the most appropriate resources from the initial set. For some applications a cost-based heuristic is most appropriate; for others a performance-based heuristic may be used. A financial services application and a high performance computing application are used to illustrate the execution of the proposed resource discovery mechanism. The experimental result shows the proposed model could dynamically select an appropriate set of resouces that match the application's requirements.
Original languageEnglish
Number of pages14
JournalJournal of Cloud Computing: Advances, Systems and Applications
Volume1
Issue number6
DOIs
Publication statusPublished - 21 Jun 2012

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