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URN etd-0818112-193726 Statistics This thesis had been viewed 1629 times. Download 293 times. Author Meng-Chu Shen Author's Email Address No Public. Department Information Management Year 2011 Semester 2 Degree Master Type of Document Master's Thesis Language Chinese&English Page Count 60 Title SLA-Based Resource Allocation Policies for Infrastructure as a Service Provider (IaaS) in Clouds Keyword service level agrenment (SLA) Admission control cloud computing Infrastructure as a Service (IaaS) Infrastructure as a Service (IaaS) cloud computing Admission control service level agrenment (SLA) Abstract Software as a Service (SaaS) provides applications for end users using the Internet and typically leases resources from the Infrastructure as a Service (IaaS). When SaaS requests are submitted to the IaaS, the IaaS determines whether there are sufficient resources to satisfy the service level agreement (SLA) between the SaaS and IaaS. Previous studies have only calculated the available resources to make decisions. This study proposes an SLA-based admission control for the IaaS. This method not only determines available resources but also uses three resource-allocation algorithms to perform decision-making. Our three resource allocation algorithms include initiating physical machine or virtual machine, migration, and deletion. These schemes evaluate cost to determine whether to accept an SaaS request. Simulation results showed that the proposed algorithm can provide significant benefits. Advisor Committee Wen-Hwa Liao - advisor
Yeh, Ching-Long - co-chair
Yuh-Shyan Chen - co-chair
Files Date of Defense 2012-07-20 Date of Submission 2012-08-21