Hamayun Khan, M. U. Hashmi, I. U. Din, K. Janjua, Akmal Sikandar, Muhammad Waqas Qazi, Zia Hameed
{"title":"An Efficient Scheduling based cloud computing technique using virtual Machine Resource Allocation for efficient resource utilization of Servers","authors":"Hamayun Khan, M. U. Hashmi, I. U. Din, K. Janjua, Akmal Sikandar, Muhammad Waqas Qazi, Zia Hameed","doi":"10.1109/ICEET48479.2020.9048233","DOIUrl":null,"url":null,"abstract":"Cloud computing gives greatest supply and boosts to the income, main purpose of cloud computing using visualization increases sinking work rate and power use and also increases complete throughput and minimum feedback time. Cloud climate is adopting minimum overhead with capable usage of available resources and allocating maximum resources to the processing unit. The scheduling of virtual machine uses the technique for allocating different time varying slots to cloud climate and data center. Cloud climate provides the facility for many clients to use the services of cloud based data environment therefore virtual machine is widely used for scheduling of task on multi core systems as scheduling enhances the performance of system and reducing the cost and provide efficient resource allocation. In this research paper various scheduling techniques are consider for virtual machine and different resource allocating techniques are presented. In this paper a technique is proposed that provides flawless task execution and availability of data sets connected over cloud in virtual machine that consider various resource management units. Various workloads integrate with this scheme and efficiently extend the server utilization.","PeriodicalId":144846,"journal":{"name":"2020 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Engineering and Emerging Technologies (ICEET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEET48479.2020.9048233","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Cloud computing gives greatest supply and boosts to the income, main purpose of cloud computing using visualization increases sinking work rate and power use and also increases complete throughput and minimum feedback time. Cloud climate is adopting minimum overhead with capable usage of available resources and allocating maximum resources to the processing unit. The scheduling of virtual machine uses the technique for allocating different time varying slots to cloud climate and data center. Cloud climate provides the facility for many clients to use the services of cloud based data environment therefore virtual machine is widely used for scheduling of task on multi core systems as scheduling enhances the performance of system and reducing the cost and provide efficient resource allocation. In this research paper various scheduling techniques are consider for virtual machine and different resource allocating techniques are presented. In this paper a technique is proposed that provides flawless task execution and availability of data sets connected over cloud in virtual machine that consider various resource management units. Various workloads integrate with this scheme and efficiently extend the server utilization.