Abstract--This research investigates the problem of robust dynamic resource allocation for heterogeneous distributed computing systems operating under imposed constraints. Often, s...
Jay Smith, Edwin K. P. Chong, Anthony A. Maciejews...
Parallel and distributed computing infrastructure are increasingly being embraced in the context of manufacturing applications, including real-time scheduling. In this paper, we pr...
stractions underlying distributed computing. We attempted to keep our preaims at an abstract and general level. In this column, we make those claims more concrete. More precisely, ...
Background: BLAST is a widely used genetic research tool for analysis of similarity between nucleotide and protein sequences. This paper presents a software application entitled &...
In "Can we elect if we cannot compare" (SPAA'03), Barri`ere, Flocchini, Fraigniaud and Santoro consider a qualitative model of distributed computing, where the label...
Distributed computing has been slow to benefit from the productivity revolution that has transformed the desktop. We still treat the Web as a separate technology space: programmer...
We study the feasibility and cost of implementing --a fundamental failure detector at the core of many algorithms--in systems with weak reliability and synchrony assumptions. Intui...
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...
In today's distributed computing environments, users are makingincreasing demands on the systems, networks, and applications they use. Users are coming to expect performance,...
Michael Katchabaw, Stephen L. Howard, Andrew D. Ma...
Abstract In future, parallel and distributed computing paradigms will replace nowadays predominant sequential and centralized ones. Facing the challenge to support the construction...