{"title":"A Feasibility Study of Host-Level Contention Detection by Guest Virtual Machines","authors":"G. Casale, C. Ragusa, P. Parpas","doi":"10.1109/CloudCom.2013.118","DOIUrl":null,"url":null,"abstract":"We investigate the feasibility of detecting host-level CPU contention from inside a guest virtual machine (VM). Our methodology involves running benchmarks with deterministic and randomized execution times inside a guest VM in a private cloud testbed. Simultaneously, using the recently proposed COCOMA tool, we expose the guest VM to host-level CPU stealing events of increasing intensity. This leads us to observe that the use of hyper-threading in the host can hinder detection of CPU contention, which otherwise can be done accurately using the CPU steal metric. For systems where hyper-threading is enabled, we investigate the performance of some basic detection algorithms. We find that thresholding often outperforms more sophisticated statistical tests.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CloudCom.2013.118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
We investigate the feasibility of detecting host-level CPU contention from inside a guest virtual machine (VM). Our methodology involves running benchmarks with deterministic and randomized execution times inside a guest VM in a private cloud testbed. Simultaneously, using the recently proposed COCOMA tool, we expose the guest VM to host-level CPU stealing events of increasing intensity. This leads us to observe that the use of hyper-threading in the host can hinder detection of CPU contention, which otherwise can be done accurately using the CPU steal metric. For systems where hyper-threading is enabled, we investigate the performance of some basic detection algorithms. We find that thresholding often outperforms more sophisticated statistical tests.
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