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DTSTART:19700308T020000
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DTSTAMP:20260522T150118Z
LOCATION:C146
DTSTART;TZID=America/Chicago:20181113T103000
DTEND;TZID=America/Chicago:20181113T120000
UID:submissions.supercomputing.org_SC18_sess179@linklings.com
SUMMARY:Data and Storage
DESCRIPTION:BESPOKV: Application Tailored Scale-Out Key-Value Stores\n\nEn
 terprise KV stores are not well suited for HPC applications, and entail cu
 stomization and cumbersome end-to-end KV design to extract the HPC applica
 tion needs. In this paper we present BESPOKV, an adaptive, extensible, and
  scale-out KV store framework. BESPOKV decouples the KV store design into 
 th...\n\n\nAli Anwar (IBM), Yue Cheng (George Mason University), Hai Huang
  (IBM), Jingoo Han (Virginia Tech), Hyogi Sim (Oak Ridge National Laborato
 ry), Dongyoon Lee (Virginia Tech), Fred Douglis (Perspecta Labs), and Ali 
 R. Butt (Virginia Tech)\n---------------------\nScaling Embedded In Situ I
 ndexing with DeltaFS\n\nAnalysis of large-scale simulation output is a cor
 e element of scientific inquiry, but analysis queries may experience signi
 ficant I/O overhead when the data is not structured for efficient retrieva
 l. While in-situ processing allows for improved time-to-insight for many a
 pplications, scaling in-situ...\n\n\nQing Zheng, Charles D. Cranor, Danhao
  Guo, Gregory R. Ganger, George Amvrosiadis, and Garth A. Gibson (Carnegie
  Mellon University) and Bradley W. Settlemyer, Gary Grider, and Fan Guo (L
 os Alamos National Laboratory)\n---------------------\nSP-Cache: Load-Bala
 nced, Redundancy-Free Cluster Caching with Selective Partition\n\nData-int
 ensive clusters increasingly employ in-memory solutions to improve I/O per
 formance. However, the routinely observed file popularity skew and load im
 balance create hotspots, which significantly degrades the benefits of in-m
 emory solutions. Common approaches to tame load imbalance include copy...\
 n\n\nYinghao Yu, Renfei Huang, Wei Wang, Jun Zhang, and Khaled Ben Letaief
  (Hong Kong University of Science and Technology)\n\nTag: Clouds and Distr
 ibuted Computing, File Systems, I/O, Storage\n\nRegistration Category: Tec
 h Program Reg Pass\n\nSession Chair: Dennis Gannon (Indiana University, Th
 e eScience Cloud)
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