A06: Accelerating Big Data Processing in the Cloud with
Scalable Communication and I/O Schemes
SessionPoster Reception
Author
Event Type
ACM Student Research Competition
Poster
Reception
TimeTuesday, November 14th5:15pm -
7pm
LocationFour Seasons Ballroom
DescriptionWith 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-performance data analytics and provides
opportunities to use these resources to develop new
designs. Cloud computing provides flexibility,
scalability, and reliability, which are important
requirements of Big Data frameworks. However, several
important requirements are missing, such as performance,
scalability, fault-tolerance, and consistency. The focus
of this research work revolves around developing
communication and I/O designs and concepts which can
provide these requirements to Big Data frameworks.
Specifically, we explore new ways to provide
fault-tolerance and consistency in cloud storage
systems, providing scalable and high-performance
communication frameworks, and co-designing with Big Data
stacks to leverage these features.
