{"title":"基于动态阈值的虚拟机迁移策略","authors":"","doi":"10.25236/ajcis.2023.060920","DOIUrl":null,"url":null,"abstract":"With the rapid development of cloud computing, virtualization is widely used in data centers for resource management. However, traditional static threshold-based virtual machine migration strategies struggle to adapt to changing workloads. To address this, we propose a dynamic threshold-based strategy that monitors resource utilization to optimize migration timing and reduce costs. Simulation experiments on a real data center confirm the superior performance of our approach compared to static methods. This intelligent and efficient strategy enhances resource management, and energy efficiency in data centers.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Virtual Machine Migration Strategy Based on Dynamic Threshold\",\"authors\":\"\",\"doi\":\"10.25236/ajcis.2023.060920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of cloud computing, virtualization is widely used in data centers for resource management. However, traditional static threshold-based virtual machine migration strategies struggle to adapt to changing workloads. To address this, we propose a dynamic threshold-based strategy that monitors resource utilization to optimize migration timing and reduce costs. Simulation experiments on a real data center confirm the superior performance of our approach compared to static methods. This intelligent and efficient strategy enhances resource management, and energy efficiency in data centers.\",\"PeriodicalId\":387664,\"journal\":{\"name\":\"Academic Journal of Computing & Information Science\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Academic Journal of Computing & Information Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25236/ajcis.2023.060920\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Academic Journal of Computing & Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25236/ajcis.2023.060920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Virtual Machine Migration Strategy Based on Dynamic Threshold
With the rapid development of cloud computing, virtualization is widely used in data centers for resource management. However, traditional static threshold-based virtual machine migration strategies struggle to adapt to changing workloads. To address this, we propose a dynamic threshold-based strategy that monitors resource utilization to optimize migration timing and reduce costs. Simulation experiments on a real data center confirm the superior performance of our approach compared to static methods. This intelligent and efficient strategy enhances resource management, and energy efficiency in data centers.