基于gpu加速的云数据中心虚拟基础设施分配算法

2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) Pub Date : 2018-05-01 DOI:10.1109/CCGRID.2018.00057

Lucas Leandro Nesi, M. A. Pillon, M. Assunção, G. Koslovski

{"title":"基于gpu加速的云数据中心虚拟基础设施分配算法","authors":"Lucas Leandro Nesi, M. A. Pillon, M. Assunção, G. Koslovski","doi":"10.1109/CCGRID.2018.00057","DOIUrl":null,"url":null,"abstract":"Allocating IT resources to Virtual Infrastructures (VIs) (i.e. groups of VMs, virtual switches, and their network interconnections) is an NP-hard problem. Most allocation algorithms designed to run on CPUs face scalability issues when considering current cloud data centers comprising thousands of servers. This work offers and evaluates a set of allocation algorithms refactored for Graphic Processing Units (GPUs). Experimental results demonstrate their ability to handle three large-scale data center topologies.","PeriodicalId":321027,"journal":{"name":"2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"GPU-Accelerated Algorithms for Allocating Virtual Infrastructure in Cloud Data Centers\",\"authors\":\"Lucas Leandro Nesi, M. A. Pillon, M. Assunção, G. Koslovski\",\"doi\":\"10.1109/CCGRID.2018.00057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Allocating IT resources to Virtual Infrastructures (VIs) (i.e. groups of VMs, virtual switches, and their network interconnections) is an NP-hard problem. Most allocation algorithms designed to run on CPUs face scalability issues when considering current cloud data centers comprising thousands of servers. This work offers and evaluates a set of allocation algorithms refactored for Graphic Processing Units (GPUs). Experimental results demonstrate their ability to handle three large-scale data center topologies.\",\"PeriodicalId\":321027,\"journal\":{\"name\":\"2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCGRID.2018.00057\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGRID.2018.00057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

将IT资源分配给虚拟基础设施(Virtual infrastructure, VIs)(即虚拟机组、虚拟交换机及其网络互连)是一个np难题。当考虑到当前包含数千台服务器的云数据中心时，大多数设计用于在cpu上运行的分配算法都面临可伸缩性问题。这项工作提供并评估了一组分配算法重构图形处理单元(gpu)。实验结果表明，该算法能够处理三种大型数据中心拓扑结构。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

GPU-Accelerated Algorithms for Allocating Virtual Infrastructure in Cloud Data Centers

Allocating IT resources to Virtual Infrastructures (VIs) (i.e. groups of VMs, virtual switches, and their network interconnections) is an NP-hard problem. Most allocation algorithms designed to run on CPUs face scalability issues when considering current cloud data centers comprising thousands of servers. This work offers and evaluates a set of allocation algorithms refactored for Graphic Processing Units (GPUs). Experimental results demonstrate their ability to handle three large-scale data center topologies.

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

2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)

自引率

0.00%

发文量