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An Infrastructure-as-a-Service Cloud: On-Demand Resource Provisioning

An Infrastructure-as-a-Service Cloud: On-Demand Resource Provisioning

Weijia Song, Zhen Xiao
Copyright: © 2013 |Pages: 23
ISBN13: 9781466628540|ISBN10: 1466628545|EISBN13: 9781466628557
DOI: 10.4018/978-1-4666-2854-0.ch013
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MLA

Song, Weijia, and Zhen Xiao. "An Infrastructure-as-a-Service Cloud: On-Demand Resource Provisioning." Principles, Methodologies, and Service-Oriented Approaches for Cloud Computing, edited by Xiaoyu Yang and Lu Liu, IGI Global, 2013, pp. 302-324. https://doi.org/10.4018/978-1-4666-2854-0.ch013

APA

Song, W. & Xiao, Z. (2013). An Infrastructure-as-a-Service Cloud: On-Demand Resource Provisioning. In X. Yang & L. Liu (Eds.), Principles, Methodologies, and Service-Oriented Approaches for Cloud Computing (pp. 302-324). IGI Global. https://doi.org/10.4018/978-1-4666-2854-0.ch013

Chicago

Song, Weijia, and Zhen Xiao. "An Infrastructure-as-a-Service Cloud: On-Demand Resource Provisioning." In Principles, Methodologies, and Service-Oriented Approaches for Cloud Computing, edited by Xiaoyu Yang and Lu Liu, 302-324. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2854-0.ch013

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Abstract

Cloud computing allows business customers to elastically scale up and down their resource usage based on needs. This feature eliminates the dilemma of planning IT infrastructures for Cloud users, where under-provisioning compromises service quality while over-provisioning wastes investment as well as electricity. It offers virtually infinite resource. It also made the desirable “pay as you go” accounting model possible. The above touted gains in the Cloud model come from on-demand resource provisioning technology. In this chapter, the authors elaborate on such technologies incorporated in a real IaaS system to exemplify how Cloud elasticity is implemented. It involves the resource provisioning technologies in hypervisor, Virtual Machine (VM) migration scheduler and VM replication. The authors also investigate the load prediction algorithm for its significant impacts on resource allocation.

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