Analysis of Time Factor with Resource Provisioning Frameworks in Cloud Environment for Improving Scheduling Performance

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pallavi wankhede(Shelke)
Dr. Rekha Shahapurkar

Abstract

Time is critical in the resource provisioning process in the Cloud Computing paradigm when serving cloud resources to cloud users. It's difficult for a cloud provider to serve a large number of users while also reducing long wait times after they've submitted a request. It is possible to improve the time factor by using a systematic resource provisioning process. This paper examines several time-based resource provisioning frameworks in greater detail. Many researchers focused on various time parameters that assist cloud service providers in providing the best resource-serving services to their customers. The primary goal of this paper is to assist future researchers, as well as cloud providers in observing and selecting the best time-based resource provisioning technique also they can emphasize building a new dynamic resource provisioning paradigm in the future with this work’s observations. To validate these observations, a novel Particle Swarm Optimization (PSO) based model is designed in this text, which uses the selected time-based resource provisioning technique, and applies it to real-time cloud scenarios. It was observed that the proposed model was able to showcase better efficiency of scheduling, and optimum cloud utilization when compared with other time-based resource provisioning models for different cloud deployments

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How to Cite
pallavi wankhede(Shelke), & Dr. Rekha Shahapurkar. (2022). Analysis of Time Factor with Resource Provisioning Frameworks in Cloud Environment for Improving Scheduling Performance. International Journal of Next-Generation Computing, 13(3). https://doi.org/10.47164/ijngc.v13i3.886

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