A Comprehensive Optimization for Performance, Energy Efficiency, and Maintenance in Cloud Datacenters

Zhang, Puheng; Chen, Lin; Meng, Ke; Chen, Ying

doi:10.1109/trustcom.2016.0203

Cited by 1 publication

(3 citation statements)

References 15 publications

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“…The stochastic models accomplish service requests and maintenance of the server. Zhang et al provide a Markov chain process scheme for optimum policy schedule and scaling problems of cloud servers [7]. CSPs must reduce the energy usage in cloud data centres, and a reliable system can produce with less cost for operation purposes.…”

Section: Related Workmentioning

confidence: 99%

“…Step 4: Calculate unit matrix H=I n (7) Step 5: Compute the gradient g 0 =∇F (μ 0 ,N) at point x 0 =μ 0…”

Section: Algorithm 41: Resource Optimization Algorithmmentioning

confidence: 99%

“…Volume 13, Number 7,2022 IaaS is the most crucial delivery model developed in cloud computing. IaaS offers virtual infrastructure like servers and data storage.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Optimal Virtual Machine Placement Method in Cloud Computing Environment

Ramegowda

2022

Int. j. electr. comput. eng. syst. (Online)

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Cloud computing is formally known as an Internet-centered computing technique used for computing purposes in the cloud network. It must compute on a system where an application may simultaneously run on many connected computers. Cloud computing uses computing resources to achieve the efficiency of data centres using the virtualization concept in the cloud. The load balancers consistently allocate the workloads to all the virtual machines in the cloud to avoid an overload situation. The virtualization process implements the instances from the physical state machines to fully utilize servers. Then the dynamic data centres encompass a stochastic modelling approach for resource optimization for high performance in a cloud computing environment. This paper defines the virtualization process for obtaining energy productivity in cloud data centres. The algorithm proposed involves a stochastic modelling approach in cloud data centres for resource optimization. The load balancing method is applied in the cloud data centres to obtain the appropriate efficiency.

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Section: Related Workmentioning

confidence: 99%

“…Step 4: Calculate unit matrix H=I n (7) Step 5: Compute the gradient g 0 =∇F (μ 0 ,N) at point x 0 =μ 0…”

Section: Algorithm 41: Resource Optimization Algorithmmentioning

confidence: 99%