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dc.contributor.authorBharata, Anish
dc.contributor.authorWittie, Mike P.
dc.contributor.authorYang, Qing
dc.date.accessioned2014-02-14T23:51:56Z
dc.date.available2014-02-14T23:51:56Z
dc.date.issued2013
dc.identifier.citationAnish Bharata, Mike P. Wittie, Qing Yang. "IP2DC: Making Sense of Replica Selection Tools," in USENIX NSDI (poster session), 2013en_US
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/3093
dc.description.abstractCloud-based applications being developed for consumer electronics market (tablets, smart TVs) struggle to deliver the same level of responsiveness as standalone software, leading to user frustration and slow adoption. Often the network that separates user end-hosts from server back-end is to blame. To limit the impact of poor network performance on message delay, or lag, back-end logic and application data are deployed across geographically distributed servers and user requests are directed to the closest one [14]. Such nearby servers deliver content more quickly thanks to a faster expansion of TCP congestion window and more rapid retransmissions over low round-trip time (RTT) paths. Our early results, presented in this poster, show a high level of discrepancy between the available tools and motivate further measurement as well as the need to develop techniques for more accurate server replica selection.en_US
dc.language.isoen_USen_US
dc.publisherUSENIXen_US
dc.subjectComputer Scienceen_US
dc.titleIP2DC: Making Sense of Replica Selection Toolsen_US
dc.typePresentationen_US
mus.citation.conferenceUSENIX Symposium on Networked Systems Design and Implementation (NSDI)
mus.citation.journaltitleProceedings of NSDI
mus.identifier.categoryEngineering & Computer Science
mus.relation.collegeCollege of Engineering
mus.relation.departmentComputer Science.en_US
mus.relation.universityMontana State University - Bozemanen_US


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