An Admission Control Algorithm to Maximize Operator’s Profits in Cloud Computing Systems
Date Issued
2015
Date
2015
Author(s)
Chiou, Yu-Wen
Abstract
Due to the cloud computing has gained rapid adoption in recent years, cloud service providers have begun to establish new data centers to implements cloud computing application. For end users, cloud computing is a scenario that users can access any kind of infrastructures, applications or platforms in a cloud. Therefore, they hope cloud service providers can offer high quality cloud environment and satisfy their requirements. For cloud computing service providers, they try to maximize resource utilization and maximize their profits simultaneously. In order to make efficient use of resources in cloud computing systems and ensure their availability to the end users, they need to adopt a best suited load balance technique to achieve it. Hence, how to provide efficient cloud services to users and maximize the cloud service providers’ profits at the same time has become an extremely important issue. In this thesis, we focus on helping cloud service provider to admit users as many as possible in the most efficient way. A generic mathematical programming model we proposed that can be used for developing an admission control and resources reallocation algorithm by simulating the role of the cloud service providers and users in cloud computing system. The Lagrangean relaxation method is adopted here to solve the problem mentioned above and obtain the optimal solutions.
Subjects
Cloud Computing
Lagrangean Relaxation Method
Mathematical Programming
Optimization
Resource Allocation
Load Balance
Type
thesis
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