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DTSTART;TZID=America/Chicago:20181113T110000
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UID:submissions.supercomputing.org_SC18_sess179_pap585@linklings.com
SUMMARY:BESPOKV: Application Tailored Scale-Out Key-Value Stores
DESCRIPTION:Ali Anwar (IBM), Yue Cheng (George Mason University), Hai Huan
 g (IBM), Jingoo Han (Virginia Tech), Hyogi Sim (Oak Ridge National Laborat
 ory), Dongyoon Lee (Virginia Tech), Fred Douglis (Perspecta Labs), and Ali
  R. Butt (Virginia Tech)\n\nEnterprise KV stores are not well suited for H
 PC applications, and entail customization and cumbersome end-to-end KV des
 ign to extract the HPC application needs. In this paper we present BESPOKV
 , an adaptive, extensible, and scale-out KV store framework. BESPOKV decou
 ples the KV store design into the control plane for distributed management
  and the data plane for local data store. BESPOKV takes as input a single-
 server KV store, called a datalet, and transparently enables a scalable an
 d fault-tolerant distributed KV store service. The resulting distributed s
 tores are also adaptive to consistency or topology requirement changes and
  can be easily extended for new types of services. Experiments show that B
 ESPOKV-enabled distributed KV stores scale horizontally to a large number 
 of nodes, and performs comparably and sometimes better than the state-of-t
 he-art systems.\n\nTag: Clouds and Distributed Computing, File Systems, I/
 O, Storage\n\nRegistration Category: Tech Program Reg Pass\n\nSession Chai
 r: Dennis Gannon (Indiana University, The eScience Cloud)\n\n
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