CloudSense: Continuous Fine-Grain Cloud Monitoring with Compressive Sensing

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CloudSense: Continuous Fine-Grain Cloud Monitoring with Compressive Sensing

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dc.contributor.author Kung, H.T. T.
dc.contributor.author Lin, Chit-Kwan
dc.contributor.author Vlah, Dario
dc.date.accessioned 2012-11-30T19:21:56Z
dc.date.issued 2011
dc.identifier.citation Kung, H.T., Chit-Kwan Lin, and Dario Vlah. 2011. CloudSense: Continuous fine-grain cloud monitoring with compressive sensing. In proceedings of 3rd USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 2011), Portland, OR, June 14-15. en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:9972706
dc.description.abstract Continuous fine-grain status monitoring of a cloud data center enables rapid response to anomalies, but handling the resulting torrent of data poses a significant challenge. As a solution, we propose CloudSense, a new switch design that performs in-network compression of status streams via compressive sensing. Using MapReduce straggler detection as an example of cloud monitoring, we give evidence that CloudSense allows earlier detection of stragglers, since finer-grain status can be reported for a given bandwidth budget. Furthermore, CloudSense showcases the advantage of an intrinsic property of compressive sensing decoding that enables detection of the slowest stragglers first. Finally, CloudSense achieves in-network compression via a low-complexity encoding scheme, which is easy and convenient to implement in a switch. We envision that CloudSense switches could form the foundation of a "compressed status information plane" that is useful for monitoring not only the cloud data center itself, but also the user applications that it hosts. en_US
dc.description.sponsorship Engineering and Applied Sciences en_US
dc.language.iso en_US en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.relation.isversionof http://static.usenix.org/event/hotcloud11/tech/final_files/Kung.pdf en_US
dc.relation.hasversion http://www.eecs.harvard.edu/~htk/publication/2011-hotcloud-kung-lin-vlah.pdf en_US
dash.license OAP
dc.title CloudSense: Continuous Fine-Grain Cloud Monitoring with Compressive Sensing en_US
dc.type Monograph or Book en_US
dc.description.version Accepted Manuscript en_US
dc.relation.journal 3rd USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 2011) en_US
dash.depositing.author Kung, H.T. T.
dc.date.available 2012-11-30T19:21:56Z

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  • FAS Scholarly Articles [7374]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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