A Naive Approach for Managing Virtualized Resources and Optimistic Cost

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Provided by: International Research Publication House (IRPH)
Topic: Cloud
Format: PDF
Cloud computing has drawn much attention in recent years. One of its delivery models, called Infrastructure-as-a-Service (IaaS), provides users with infrastructure services such as computation and data storage, heavily dependent upon virtualization techniques that offer benefits such as elasticity and cost efficiency. The cloud computing service provider's ultimate goal is to provide maximum profits by offering cloud computing resources. The authors built system cost function for this queueing model. Based on the queuing model and system cost function, considering the goals of both the cloud computing service users and providers, they gave the corresponding strategy and algorithm to get the approximate optimistic value of service for each job in the corresponding no-preemptive priority queuing model.
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