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DTSTART:19700308T020000
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DTSTAMP:20260522T150124Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181113T083000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess325_spost116@linklings.com
SUMMARY:Accelerating Big Data Processing in the Cloud with Scalable Commun
 ication and I/O Schemes
DESCRIPTION:Shashank Gugnani (Ohio State University)\n\nWith the advent of
  cloud computing, the field of Big Data has seen rapid growth. Most cloud 
 providers provide hardware resources such as NVMe SSDs, large memory nodes
 , and SR-IOV. This opens up the possibility of large-scale high-performanc
 e data analytics and provides opportunities to use these resources to deve
 lop new designs. Cloud computing provides flexibility, security, and relia
 bility, which are important requirements for Big Data frameworks. However,
  several important requirements are missing, such as performance, scalabil
 ity, consistency, and quality of service (QoS). The focus of this work rev
 olves around developing communication and I/O designs and concepts which c
 an provide these requirements to Big Data frameworks. Specifically, we exp
 lore new ways to provide QoS and consistency in cloud storage systems, and
  provide scalable and high-performance communication frameworks.\n\nRegist
 ration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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