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dc.contributor.advisorKrishnamurthy, Arvind
dc.contributor.authorLiu, Ming
dc.date.accessioned2020-10-26T20:41:05Z
dc.date.available2020-10-26T20:41:05Z
dc.date.submitted2020
dc.identifier.otherLiu_washington_0250E_22189.pdf
dc.identifier.urihttp://hdl.handle.net/1773/46427
dc.descriptionThesis (Ph.D.)--University of Washington, 2020
dc.description.abstractThe continuing increase of data center network bandwidth, coupled with a slower improvement in CPU performance, has challenged our conventional wisdom regarding data center networks: how to build distributed systems that can keep up with the network speeds and are high-performant and energy-efficient? The recent emergence of a programmable network fabric (PNF) suggests a potential solution. By offloading suitable computations to a PNF device (i.e., SmartNIC, reconfigurable switch, or network accelerator), one can reduce request serving latency, save end-host CPU cores, and enable efficient traffic control. In this dissertation, we present three frameworks for building PNF-enabled distributed systems: (1) IncBricks, an in-network caching fabric built with network accelerators and programmable switches; (2) iPipe, an actor-based framework for offloading distributed applications on SmartNICs; (3) E3, an energy-efficient microservice execution platform for SmartNIC-accelerated servers. This dissertation presents how to make efficient use of in-network heterogeneous computing re- sources by employing new programming abstractions, applying approximation techniques, co- designing with end-host software layers, and designing efficient control-/data-planes. Our prototyped systems using commodity PNF hardware not only show the feasibility of such an approach but also demonstrate that it is an indispensable technique for efficient data center computing.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.rightsnone
dc.subjectDistributed System
dc.subjectNetwork Accelerator
dc.subjectProgrammable Networks
dc.subjectProgrammable Switch
dc.subjectSmartNICs
dc.subjectComputer science
dc.subject.otherComputer science and engineering
dc.titleBuilding Distributed Systems Using Programmable Networks
dc.typeThesis
dc.embargo.termsOpen Access


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