A principle task in parallel and distributed systems is to reduce the communication load in the interconnection network, as this is usually the major bottleneck for the performanc...
The advent of affordable, shared-nothing computing systems portends a new class of parallel database management systems (DBMS) for on-line transaction processing (OLTP) applicatio...
Data de-duplication has become a commodity component in dataintensive systems and it is required that these systems provide high reliability comparable to others. Unfortunately, b...
Chuanyi Liu, Yu Gu, Linchun Sun, Bin Yan, Dongshen...
Studies have shown much of today’s data centers are over-provisioned and underutilized. Over-provisioning cannot be avoided as these centers must anticipate peak load with burst...
In Hwan Doh, Young Jin Kim, Jung Soo Park, Eunsam ...
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...