Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Many important applications exhibit large amounts of data parallelism, and modern computer systems are designed to take advantage of it. While much of the computation in the multi...
Recently, decentralized publish-subscribe (pub-sub) systems have gained popularity as a scalable asynchronous messaging paradigm over wide-area networks. Most existing pub-sub sys...
Jianxia Chen, Lakshmish Ramaswamy, David Lowenthal
Data-Pipelining is a widely used model to represent streaming applications. Incremental decomposition and optimization of a data-pipelining application onto a multi-processor plat...
Bo-Cheng Charles Lai, Patrick Schaumont, Wei Qin, ...
Abstract: The data on the web, in digital libraries, in scientific repositories, etc. continues to grow at an increasing rate. Distribution is a key solution to overcome this data...
Fabian Groffen, Martin L. Kersten, Stefan Manegold