{"title":"改进了CloudSim上VCL云计算环境下的调度算法","authors":"Omar Khedher, M. Jarraya","doi":"10.1109/HPCSim.2015.7237047","DOIUrl":null,"url":null,"abstract":"Cloud Computing has empowered the academic communities by reducing the IT infrastructure administration and cost. As one of several cloud computing solutions, Virtual Cloud Laboratory (VCL) has improved many universities experience by providing hand-on labs for each course per class. VCL has multiple deployment requirements. Although it represents a simplified architecture design, treating a large size VCL deployment might be challenging. In addition, putting the performance of resource allocation policies and different scheduling algorithms under scope could help to quantify the workload running in a real and expanded VCL environment. We aim through this study at identifying the limitations of the default scheduler in VCL and propose an enhanced scheduler. By simulating a VCL cloud computing environment, it might be possible to prove different scheduling algorithms and their impact from performance perspective.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Improved scheduling algorithm in VCL Cloud computing environment on CloudSim\",\"authors\":\"Omar Khedher, M. Jarraya\",\"doi\":\"10.1109/HPCSim.2015.7237047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud Computing has empowered the academic communities by reducing the IT infrastructure administration and cost. As one of several cloud computing solutions, Virtual Cloud Laboratory (VCL) has improved many universities experience by providing hand-on labs for each course per class. VCL has multiple deployment requirements. Although it represents a simplified architecture design, treating a large size VCL deployment might be challenging. In addition, putting the performance of resource allocation policies and different scheduling algorithms under scope could help to quantify the workload running in a real and expanded VCL environment. We aim through this study at identifying the limitations of the default scheduler in VCL and propose an enhanced scheduler. By simulating a VCL cloud computing environment, it might be possible to prove different scheduling algorithms and their impact from performance perspective.\",\"PeriodicalId\":134009,\"journal\":{\"name\":\"2015 International Conference on High Performance Computing & Simulation (HPCS)\",\"volume\":\"177 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on High Performance Computing & Simulation (HPCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCSim.2015.7237047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCSim.2015.7237047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved scheduling algorithm in VCL Cloud computing environment on CloudSim
Cloud Computing has empowered the academic communities by reducing the IT infrastructure administration and cost. As one of several cloud computing solutions, Virtual Cloud Laboratory (VCL) has improved many universities experience by providing hand-on labs for each course per class. VCL has multiple deployment requirements. Although it represents a simplified architecture design, treating a large size VCL deployment might be challenging. In addition, putting the performance of resource allocation policies and different scheduling algorithms under scope could help to quantify the workload running in a real and expanded VCL environment. We aim through this study at identifying the limitations of the default scheduler in VCL and propose an enhanced scheduler. By simulating a VCL cloud computing environment, it might be possible to prove different scheduling algorithms and their impact from performance perspective.