使用 CloudSim 模拟器评估云上主动容错方案的性能

D. Goutam, A. Verma, Neha Agrawal
{"title":"使用 CloudSim 模拟器评估云上主动容错方案的性能","authors":"D. Goutam, A. Verma, Neha Agrawal","doi":"10.1109/ICADIWT.2014.6814666","DOIUrl":null,"url":null,"abstract":"The main issues in a cloud based environment are security, process fail rate and performance. Fault tolerance plays a key role in ensuring high serviceability and reliability in cloud. Nowadays, demands for high fault tolerance, high serviceability and high reliability are becoming unprecedentedly strong, building a high fault tolerance, high serviceability and high reliability cloud is a critical, challenging, and urgently required task. A lot of research is currently underway to analyze how clouds can provide fault tolerance for an application. When the number of processes are too many and the virtual machine is overloaded then the processes are failed causing lot of rework and annoyance for the users. The major cause of the failure of the processes at the virtual machine level are overloading of virtual machines, extra resource requirements of the existing processes etc. This paper introduces dynamic load balancing techniques for cloud environment in which RAM/Broker (resource awareness module) proactively decides whether the process can be applied on an existing virtual machine or it should be assigned to a different virtual machine created a fresh or any other existing virtual machine. So, in this way it can tackle the occurrence of the fault. This paper also proposed a mechanism which proactively decides the load on virtual machines and according to the requirement either creates a new virtual machine or uses an existing virtual machine for assigning the process. Once a process is complete, it will update the virtual machine status on the broker service so that other processes can be assigned to it.","PeriodicalId":339627,"journal":{"name":"The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"The performance evaluation of proactive fault tolerant scheme over cloud using CloudSim simulator\",\"authors\":\"D. Goutam, A. Verma, Neha Agrawal\",\"doi\":\"10.1109/ICADIWT.2014.6814666\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main issues in a cloud based environment are security, process fail rate and performance. Fault tolerance plays a key role in ensuring high serviceability and reliability in cloud. Nowadays, demands for high fault tolerance, high serviceability and high reliability are becoming unprecedentedly strong, building a high fault tolerance, high serviceability and high reliability cloud is a critical, challenging, and urgently required task. A lot of research is currently underway to analyze how clouds can provide fault tolerance for an application. When the number of processes are too many and the virtual machine is overloaded then the processes are failed causing lot of rework and annoyance for the users. The major cause of the failure of the processes at the virtual machine level are overloading of virtual machines, extra resource requirements of the existing processes etc. This paper introduces dynamic load balancing techniques for cloud environment in which RAM/Broker (resource awareness module) proactively decides whether the process can be applied on an existing virtual machine or it should be assigned to a different virtual machine created a fresh or any other existing virtual machine. So, in this way it can tackle the occurrence of the fault. This paper also proposed a mechanism which proactively decides the load on virtual machines and according to the requirement either creates a new virtual machine or uses an existing virtual machine for assigning the process. Once a process is complete, it will update the virtual machine status on the broker service so that other processes can be assigned to it.\",\"PeriodicalId\":339627,\"journal\":{\"name\":\"The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICADIWT.2014.6814666\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICADIWT.2014.6814666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

云环境的主要问题是安全性、流程故障率和性能。容错在确保云的高服务性和高可靠性方面发挥着关键作用。如今,对高容错性、高可服务性和高可靠性的需求正变得空前强烈,构建一个高容错性、高可服务性和高可靠性的云是一项关键、具有挑战性和迫切需要完成的任务。目前,很多研究都在分析云如何为应用程序提供容错功能。当进程数量过多、虚拟机过载时,进程就会出现故障,造成大量返工,给用户带来烦恼。导致虚拟机级进程失败的主要原因是虚拟机超载、现有进程需要额外资源等。本文介绍了云环境的动态负载平衡技术,其中 RAM/Broker(资源感知模块)会主动决定进程是否可以应用于现有的虚拟机,还是应该分配给新创建的不同虚拟机或任何其他现有虚拟机。这样,它就能解决故障的发生。本文还提出了一种机制,可主动决定虚拟机的负载,并根据要求创建新的虚拟机或使用现有虚拟机分配进程。一旦进程完成,它将更新代理服务上的虚拟机状态,以便为其分配其他进程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The performance evaluation of proactive fault tolerant scheme over cloud using CloudSim simulator
The main issues in a cloud based environment are security, process fail rate and performance. Fault tolerance plays a key role in ensuring high serviceability and reliability in cloud. Nowadays, demands for high fault tolerance, high serviceability and high reliability are becoming unprecedentedly strong, building a high fault tolerance, high serviceability and high reliability cloud is a critical, challenging, and urgently required task. A lot of research is currently underway to analyze how clouds can provide fault tolerance for an application. When the number of processes are too many and the virtual machine is overloaded then the processes are failed causing lot of rework and annoyance for the users. The major cause of the failure of the processes at the virtual machine level are overloading of virtual machines, extra resource requirements of the existing processes etc. This paper introduces dynamic load balancing techniques for cloud environment in which RAM/Broker (resource awareness module) proactively decides whether the process can be applied on an existing virtual machine or it should be assigned to a different virtual machine created a fresh or any other existing virtual machine. So, in this way it can tackle the occurrence of the fault. This paper also proposed a mechanism which proactively decides the load on virtual machines and according to the requirement either creates a new virtual machine or uses an existing virtual machine for assigning the process. Once a process is complete, it will update the virtual machine status on the broker service so that other processes can be assigned to it.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Game theoretic resource allocation in cloud computing Automated colour segmentation of Tuberculosis bacteria thru region growing: A novel approach A multi-objective differential evolution approach for the question selection problem Formal representation of service interactions for SaaS based applications A novel approach for predicting the length of hospital stay with DBSCAN and supervised classification algorithms
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1