{"title":"负载平衡策略的基于云的部署框架","authors":"Komal Mahajan, Deepak Dahiya","doi":"10.1109/IC3.2014.6897235","DOIUrl":null,"url":null,"abstract":"Cloud computing is filling the gap as a fifth utility service by building higher capabilities of IT infrastructure. This lends the cloud for research as one of the focus areas. Cloud researchers lack the opportunity to work with real cloud test beds. The cloud simulation tools available in academia and research have certain limitations like programming dependency for simulation setup; prerequisite knowledge of simulator's underlying architecture for deployment of new load balancing algorithms. Further, non availability of a single snapshot window for multiple simulations and database support are other disadvantages. This paper addresses these issues to a great extent by introducing a cloud simulation tool with enhanced features like algorithm editor, multiple simulation comparator and database support. The proposed features provide an abstraction to the simulator application. This allows researchers to focus on better analysis of the behavior of applications rather than understanding the implications and working of the underlying architecture.","PeriodicalId":444918,"journal":{"name":"2014 Seventh International Conference on Contemporary Computing (IC3)","volume":"308 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A cloud based deployment framework for load balancing policies\",\"authors\":\"Komal Mahajan, Deepak Dahiya\",\"doi\":\"10.1109/IC3.2014.6897235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud computing is filling the gap as a fifth utility service by building higher capabilities of IT infrastructure. This lends the cloud for research as one of the focus areas. Cloud researchers lack the opportunity to work with real cloud test beds. The cloud simulation tools available in academia and research have certain limitations like programming dependency for simulation setup; prerequisite knowledge of simulator's underlying architecture for deployment of new load balancing algorithms. Further, non availability of a single snapshot window for multiple simulations and database support are other disadvantages. This paper addresses these issues to a great extent by introducing a cloud simulation tool with enhanced features like algorithm editor, multiple simulation comparator and database support. The proposed features provide an abstraction to the simulator application. This allows researchers to focus on better analysis of the behavior of applications rather than understanding the implications and working of the underlying architecture.\",\"PeriodicalId\":444918,\"journal\":{\"name\":\"2014 Seventh International Conference on Contemporary Computing (IC3)\",\"volume\":\"308 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Seventh International Conference on Contemporary Computing (IC3)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3.2014.6897235\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Seventh International Conference on Contemporary Computing (IC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3.2014.6897235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A cloud based deployment framework for load balancing policies
Cloud computing is filling the gap as a fifth utility service by building higher capabilities of IT infrastructure. This lends the cloud for research as one of the focus areas. Cloud researchers lack the opportunity to work with real cloud test beds. The cloud simulation tools available in academia and research have certain limitations like programming dependency for simulation setup; prerequisite knowledge of simulator's underlying architecture for deployment of new load balancing algorithms. Further, non availability of a single snapshot window for multiple simulations and database support are other disadvantages. This paper addresses these issues to a great extent by introducing a cloud simulation tool with enhanced features like algorithm editor, multiple simulation comparator and database support. The proposed features provide an abstraction to the simulator application. This allows researchers to focus on better analysis of the behavior of applications rather than understanding the implications and working of the underlying architecture.