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Scheduling / Apache Hadoop / I/O scheduling / Latency / HBase / MapReduce / Computer data storage / FIFO / Smith-Lemli-Opitz syndrome / Concurrent computing / Computing / Scheduling algorithms


Sweet Storage SLOs with Frosting Andrew Wang, Shivaram Venkataraman, Sara Alspaugh, Ion Stoica, Randy Katz University of California, Berkeley 500 Abstract
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Document Date: 2015-04-18 22:30:47


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File Size: 217,56 KB

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Company

Hewlett Packard / Amazon / Quanta / NetApp / MySQL / Oracle / Ericsson / Google / VMware / Yahoo! / Intel / Microsoft / Cisco / /

Facility

Randy Katz University of California / /

IndustryTerm

utility computing environments / deep software / online linear performance model / storage devices / Web disk I/O / software stack / Online Performance Measurements / actual processing time / Web Client Requests / latency-sensitive applications / software bugs / generation operating systems / large-scale storage systems / storage systems / distributed storage systems / batch applications / large-scale distributed storage systems / cloud serving systems / web search / distinct storage systems / integrated services packet switching networks / block device / storage services / internal applications / /

Organization

National Science Foundation / University of California / Berkeley / /

Person

Maestro / Sara Alspaugh / Andrew Wang / Ion Stoica / /

Position

Proportional share scheduler / desired and actual feedback controller / Request Scheduler / feedback scheduler / Additional scheduler / pure overlay scheduler / Frosting proportional share scheduler / disk scheduler / scheduler / General / Frosting Scheduler / feedback controller / controller / /

ProvinceOrState

California / /

Technology

server farm / HBase RPC protocol / packet switching / load balancing / API / http / caching / MTU / SAN / operating system / scheduling algorithm / html / operating systems / /

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