CloudSimSDN: Modeling and Simulation of Software-Defined Cloud Data Centers

Jungmin Son, A. V. Dastjerdi, R. Calheiros, Xiaohui Ji, Young Yoon, R. Buyya
{"title":"CloudSimSDN: Modeling and Simulation of Software-Defined Cloud Data Centers","authors":"Jungmin Son, A. V. Dastjerdi, R. Calheiros, Xiaohui Ji, Young Yoon, R. Buyya","doi":"10.1109/CCGrid.2015.87","DOIUrl":null,"url":null,"abstract":"Software-Defined Networking not only addresses the shortcoming of traditional network technologies in dealing with frequent and immediate changes in cloud data centers but also made network resource management open and innovation-friendly. To further accelerate the innovation pace, accessible and easy-to-learn testbeds are required which estimate and measure the performance of network and host capacity provisioning approaches simultaneously within a data center. This is a challenging task and is often costly if accomplished in a physical environment. Thus, a lightweight and scalable simulation environment is necessary to evaluate the network allocation capacity policies while avoiding such a complicated and expensive facility. This paper introduces CloudSimSDN, a simulation framework for SDN-enabled cloud environments based on CloudSim. This paper develops and presents the overall architecture and features of the framework and provides several use cases. Moreover, we empirically validate the accuracy and effectiveness of CloudSimSDN through a number of simulations of a cloud-based three-tier web application.","PeriodicalId":6664,"journal":{"name":"2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing","volume":"25 1","pages":"475-484"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"111","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGrid.2015.87","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 111

Abstract

Software-Defined Networking not only addresses the shortcoming of traditional network technologies in dealing with frequent and immediate changes in cloud data centers but also made network resource management open and innovation-friendly. To further accelerate the innovation pace, accessible and easy-to-learn testbeds are required which estimate and measure the performance of network and host capacity provisioning approaches simultaneously within a data center. This is a challenging task and is often costly if accomplished in a physical environment. Thus, a lightweight and scalable simulation environment is necessary to evaluate the network allocation capacity policies while avoiding such a complicated and expensive facility. This paper introduces CloudSimSDN, a simulation framework for SDN-enabled cloud environments based on CloudSim. This paper develops and presents the overall architecture and features of the framework and provides several use cases. Moreover, we empirically validate the accuracy and effectiveness of CloudSimSDN through a number of simulations of a cloud-based three-tier web application.
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
CloudSimSDN:软件定义云数据中心的建模和仿真
软件定义网络不仅解决了传统网络技术在应对云数据中心频繁、即时变化方面的不足,而且使网络资源管理具有开放性和创新性。为了进一步加快创新步伐,需要可访问且易于学习的测试平台,以在数据中心内同时评估和测量网络和主机容量供应方法的性能。这是一项具有挑战性的任务,如果在物理环境中完成,通常代价高昂。因此,需要一个轻量级和可扩展的模拟环境来评估网络分配容量策略,同时避免使用如此复杂和昂贵的设施。本文介绍了基于CloudSim的支持sdn的云环境仿真框架CloudSimSDN。本文开发并展示了该框架的总体架构和功能,并提供了几个用例。此外,我们通过对基于云的三层web应用程序的大量模拟,经验验证了CloudSimSDN的准确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Self Protecting Data Sharing Using Generic Policies Partition-Aware Routing to Improve Network Isolation in Infiniband Based Multi-tenant Clusters MIC-Tandem: Parallel X!Tandem Using MIC on Tandem Mass Spectrometry Based Proteomics Data Study of the KVM CPU Performance of Open-Source Cloud Management Platforms Visualizing City Events on Search Engine: Tword the Search Infrustration for Smart City
×
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