| Document Date: 2015-01-25 22:31:47
Open Document File Size: 594,95 KBShare Result on Facebook
City Denver / / Company File Abstraction Interface SA / LSI / AMD / Yahoo! / YCSB SA / Amazon / LiveJournal / Vertex / IOPS (x1000) SSDFA SA / cache SA / Intel / / Currency USD / pence / / / Event Company Expansion / / IndustryTerm data-driven computing / storage devices / scientific applications / thin software layer / comparable read performance using commodity hardware / block device / data services / block devices / multicore processors / software optimizations / persistent memory devices / multicore operating systems / software options / commodity hardware / computing / remote processors / scientific computing / scalability operating systems / help applications / social network / flash products / cloud computing / / MarketIndex IOR / HPC / / MusicAlbum I/O / / OperatingSystem Ubuntu / L3 / Linux / / Organization MA UM / Johns Hopkins University Department of Physics / MIT / Johns Hopkins University / Randal Burns Alexander S. Szalay Department / / Person UM UM MA UM / Alexander S. Szalay / Randal Burns Alexander / / Position RAID controller / General / default I/O scheduler / tackle / noop I/O scheduler / HBA driver / MP / Linux I/O scheduler / storage controller / scheduler / / Product Linux / / ProgrammingLanguage L / / Technology RAM / 0 FS FS Processor / 3-d / Linux / 1 Processor / Xeon E5-4620 processors / random access / operating system / shared memory / RAID / Dijkstra algorithm / one processor / SSD technology / dom / flash / four processors / 3.2 Processor / two processors / same processor / multicore processors / operating systems / 2 Processor / caching / local processor / using all four processors / / URL http /
SocialTag |
Toward Millions of File System IOPS on Low-Cost, Commodity Hardware Da Zheng, Randal Burns Alexander S. Szalay