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Simplifying Datacenter Fault Detection and Localization

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서명/저자사항Simplifying Datacenter Fault Detection and Localization.
개인저자Roy, Arjun.
단체저자명University of California, San Diego. Computer Science.
발행사항[S.l.]: University of California, San Diego., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항184 p.
기본자료 저록Dissertation Abstracts International 79-12B(E).
Dissertation Abstract International
ISBN9780438168046
학위논문주기Thesis (Ph.D.)--University of California, San Diego, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Alex C. Snoeren
요약The proliferation of distributed internet services has reaffirmed the need for reliable and high-performance networks, not only in the WAN bringing users to the services, but within the datacenters where services themselves reside. Services cons
요약In particular, datacenters are susceptible to insidious parasitic performance loss due to a class of network component fault known as partial faults---where a component is nominally healthy, but intermittently drops or delays traffic. These faul
요약Unfortunately, partial faults can confound existing fault detection methods in several ways, including interactions between the fault itself, application traffic characteristics, and networking hardware. For example, network switches may fail to
요약However, this work shows that the scale and regular design of contemporary datacenters can simplify partial-fault localization. In particular, the combination of large-scale load-balanced multipath topologies and high-volume datacenter traffic e
일반주제명Computer science.
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