Modeling and Performance Evaluation of Cloud On-Ramp by Utilizing a Stochastic Petri-Net

Yagawa, Yuichi; Sutoh, Atsushi; Malamura, Evgeny; Murata, Tadahiko

doi:10.1109/iiai-aai.2016.181

Cited by 4 publications

(1 citation statement)

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“…Figure1depicts the overall cloud system security model for various services and user requests. The significant entities included in the system architecture are cloud users, input queue, resource scheduler, and many services to be computed in the cloud server[26]. It depicts the queuing performance model in the cloud for the service requests to be performed.…”

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confidence: 99%

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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confidence: 99%