Performance Analysis of Algorithms for Virtualized Environments on Cloud Computing

Bôaventura, Ricardo Soares; Yamanaka, Kazushi; Oliveira, Gustavo Prado

doi:10.1109/tla.2014.6868884

Cited by 10 publications

(1 citation statement)

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“…Virtualization technology is one of the key technologies which is essential to build cloud infrastructure [1]. At present, for cloud computing data centers, the use of virtualization technology to improve the utilization and efficiency of resources, is primarily focused on two ways: 1) Load balancing: make the user's request in the form of a virtual machine, then allocate to all servers in an average manner so as to make the physical server in the cloud data center to maintain a balanced state which can ensure the processing efficiency of the application [2][3][4]; 2) Merge virtual machine: make the virtual machine merged and deployed as fullest as possible with time consumption as little as possible on a physical server, and make full use of resources of the physical server, for the purpose of reducing the number of physical servers, thereby reducing the energy consumption of the entire cloud data centers [5].…”

Section: Introductionmentioning

confidence: 99%

The processing strategy of IO-intensive application in cloud environment

Zhao¹

2016

Proceedings of the Fourth International Conference on Information Science and Cloud Computing — PoS(ISCC2015)

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With the development of cloud computing, how to effectively guarantee the cloud environment with a maximum efficiency and optimize the use of resources and applications has become one of the hot researches. However, application processing in the cloud environment now generally is confined to a common method, i.e., resource allocation, without taking into account different types of applications. In light of this phenomenon, this paper conducts a study to expand the virtual machine scheduling strategy based on a common type of application in the cloud environment, namely the IO intensive application. It puts forward an adaptive virtual machine scheduling policy. The policy can automatically migrate the corresponding number of virtual machines which run IO intensive applications according to the physical server load. Through a lot of experiments, this paper verifies the effectiveness of this strategy and allows the efficiency of processing IO-intensive applications to achieve a certain degree of optimization.

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Section: Introductionmentioning

confidence: 99%