{"title":"分布式控制器与虚拟机迁移负载均衡","authors":"Praneeth Gunupati, Krishna Boyidi, Akshay Kumar, Siddhartha Earla, S. Gugulothu, Ashutosh Kumar Singh","doi":"10.1109/ISCON47742.2019.9036291","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a model named Hugo, that acts as a distributed, scalable cloud controller which can handle basic operations like creation, deletion and migration of virtual machines(VMs). It achieves higher utilization by overcommitting the physical machine(PM). We describe each and every component along with their functionalities that garner to form the structural support for the model proposed. Algorithmic implementations namely Wiener filter algorithm for resource prediction, heuristic for energy efficient VM migration are discussed. Distributed nature of the model along with its contribution to scalability is fairly explained in this paper.","PeriodicalId":124412,"journal":{"name":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distributed Controller for Load Balancing with VM Migration\",\"authors\":\"Praneeth Gunupati, Krishna Boyidi, Akshay Kumar, Siddhartha Earla, S. Gugulothu, Ashutosh Kumar Singh\",\"doi\":\"10.1109/ISCON47742.2019.9036291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a model named Hugo, that acts as a distributed, scalable cloud controller which can handle basic operations like creation, deletion and migration of virtual machines(VMs). It achieves higher utilization by overcommitting the physical machine(PM). We describe each and every component along with their functionalities that garner to form the structural support for the model proposed. Algorithmic implementations namely Wiener filter algorithm for resource prediction, heuristic for energy efficient VM migration are discussed. Distributed nature of the model along with its contribution to scalability is fairly explained in this paper.\",\"PeriodicalId\":124412,\"journal\":{\"name\":\"2019 4th International Conference on Information Systems and Computer Networks (ISCON)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 4th International Conference on Information Systems and Computer Networks (ISCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCON47742.2019.9036291\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 4th International Conference on Information Systems and Computer Networks (ISCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCON47742.2019.9036291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed Controller for Load Balancing with VM Migration
In this paper, we propose a model named Hugo, that acts as a distributed, scalable cloud controller which can handle basic operations like creation, deletion and migration of virtual machines(VMs). It achieves higher utilization by overcommitting the physical machine(PM). We describe each and every component along with their functionalities that garner to form the structural support for the model proposed. Algorithmic implementations namely Wiener filter algorithm for resource prediction, heuristic for energy efficient VM migration are discussed. Distributed nature of the model along with its contribution to scalability is fairly explained in this paper.