Research Article
Stream assignment for grid network with joint communication and computation constraints
@INPROCEEDINGS{10.1109/ICBN.2005.1589779, author={Javed I. Khan and Kamesh Palanisamy}, title={Stream assignment for grid network with joint communication and computation constraints}, proceedings={2nd International ICST Conference on Broadband Networks}, publisher={IEEE}, proceedings_a={BROADNETS}, year={2006}, month={2}, keywords={}, doi={10.1109/ICBN.2005.1589779} }- Javed I. Khan
Kamesh Palanisamy
Year: 2006
Stream assignment for grid network with joint communication and computation constraints
BROADNETS
IEEE
DOI: 10.1109/ICBN.2005.1589779
Abstract
Dynamic assignment of complex applications' resource need on a dynamically aggregated computing infrastructure assembled via a network is central to autonomic grid computing and several other netcentric computing paradigms. In this paper we present an algorithm for active flow assignment in autonomic grid system. Active flow refers to the case where the bandwidth requirement between the flow processing elements can change due to active transformation/processing of the flow. We present the algorithm with the help of a dynamically deployable video grid application that is capable of negotiating local network state based rate and let the stream propagate over, grid network with highly asymmetric link and node capacities with minimum delay involved, in two diverse models, MISD and SIMD. The algorithm uses network connectivity graph factorization and thus adheres to the hierarchical nature of the autonomous networks
