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ACRUM: An adaptive cloud resource utilization model

Jinghe Huo, Shifeng Shang, Zeng Zhang

Open publisher page 3 citations

Abstract

Cloud computing provides an elastic, on-demand and high cost-efficient resource allocation model for task executions. Cloud resource provider cloud offers computing resource, typically in the form of virtual machines. During task execution, the load will change from time to time and therefore, it becomes an interesting topic to optimize resource utilization in the cloud computing environment. In this paper, a framework is proposed that can adaptively use cloud resources. After users specify the desired service goal to achieve, the proposed framework then monitors the task execution, and utilizes different pricing models to add or release cloud resources according to the change of cloud resource utilization rate. Experimental result shows that the cost of task execution is reduced greatly.

About this research paper

What this paper is about

Cloud computing provides an elastic, on-demand and high cost-efficient resource allocation model for task executions. Cloud resource provider cloud offers computing resource, typically in the form of virtual machines. During task execution, the load will change from time to time and therefore, it becomes an interesting topic to optimize resource utilization in the cloud computing environment. In this paper, a framework is proposed that can adaptively use cloud resources. After users specify the desired service goal to achieve, the proposed framework then monitors the task execution, and utilizes different pricing models to add or release cloud resources according to the change of cloud resource utilization rate. Experimental result shows that the cost of task execution is reduced greatly.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Cloud computing provides an elastic, on-demand and high cost-efficient resource allocation model for task executions. Cloud resource provider cloud offers computing resource, typically in the form of virtual machines. During task execution, the load will change from time to time and therefore, it becomes an interesting topic to optimize resource utilization in the cloud computing environment. In this paper, a framework is proposed that can adaptively use cloud resources. After users specify the desired service goal to achieve, the proposed framework then monitors the task execution, and utilizes different pricing models to add or release cloud resources according to the change of cloud resource utilization rate. Experimental result shows that the cost of task execution is reduced greatly.

Key concepts: Cloud computing, Computer science, Virtual machine, Task (project management), Distributed computing, Resource (disambiguation), Resource management (computing), Resource allocation

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