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DTSTAMP:20181221T160904Z
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:ACM Student Research Competition, Poster\nTech Program Reg Pas
 s, Exhibits Reg Pass\n\nAccelerating Big Data Processing in the Cloud with
  Scalable Communication and I/O Schemes\n\nGugnani\n\nWith the advent of c
 loud computing, the field of Big Data has seen rapid growth. Most cloud pr
 oviders provide hardware resources such as NVMe SSDs, large memory nodes, 
 and SR-IOV. This opens up the possibility of large-scale high-performance 
 data analytics and provides opportunities to use these resources to develo
 p new designs. Cloud computing provides flexibility, security, and reliabi
 lity, which are important requirements for Big Data frameworks. However, s
 everal important requirements are missing, such as performance, scalabilit
 y, consistency, and quality of service (QoS). The focus of this work revol
 ves around developing communication and I/O designs and concepts which can
  provide these requirements to Big Data frameworks. Specifically, we explo
 re new ways to provide QoS and consistency in cloud storage systems, and p
 rovide scalable and high-performance communication frameworks.
URL:https://sc18.supercomputing.org/presentation/?id=spost116&sess=sess325
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