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System Design and Algorithmic Development for Computational Steering in Distributed Environments
April 2010 (vol. 21 no. 4)
pp. 438-451
ASCII Text
x 
 
Qishi Wu, Mengxia Zhu, Yi Gu, Nageswara S.V. Rao, "System Design and Algorithmic Development for Computational Steering in Distributed Environments," IEEE Transactions on Parallel and Distributed Systems, vol. 21, no. 4, pp. 438-451, April, 2010.
 
 
BibTex
x
 
@article{ 10.1109/TPDS.2009.81,
author = {Qishi Wu and Mengxia Zhu and Yi Gu and Nageswara S.V. Rao},
title = {System Design and Algorithmic Development for Computational Steering in Distributed Environments},
journal ={IEEE Transactions on Parallel and Distributed Systems},
volume = {21},
number = {4},
issn = {1045-9219},
year = {2010},
pages = {438-451},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPDS.2009.81},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Parallel and Distributed Systems
TI - System Design and Algorithmic Development for Computational Steering in Distributed Environments
IS - 4
SN - 1045-9219
SP438
EP451
EPD - 438-451
A1 - Qishi Wu,
A1 - Mengxia Zhu,
A1 - Yi Gu,
A1 - Nageswara S.V. Rao,
PY - 2010
KW - Distributed computing
KW - computational steering
KW - remote visualization
KW - performance modeling.
VL - 21
JA - IEEE Transactions on Parallel and Distributed Systems
ER -
 
Qishi Wu, University of Memphis, Memphis
Mengxia Zhu, Southern Illinois University, Carbondale
Yi Gu, University of Memphis, Memphis
Nageswara S.V. Rao, Oak Ridge National Laboratory, Oak Ridge
Supporting visualization pipelines over wide-area networks is critical to enabling large-scale scientific applications that require visual feedback to interactively steer online computations. We propose a remote computational steering system that employs analytical models to estimate the cost of computing and communication components and optimizes the overall system performance in distributed environments with heterogeneous resources. We formulate and categorize the visualization pipeline configuration problems for maximum frame rate into three classes according to the constraints on node reuse or resource sharing, namely no, contiguous, and arbitrary reuse. We prove all three problems to be NP-complete and present heuristic approaches based on a dynamic programming strategy. The superior performance of the proposed solution is demonstrated with extensive simulation results in comparison with existing algorithms and is further evidenced by experimental results collected on a prototype implementation deployed over the Internet.

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Index Terms:
Distributed computing, computational steering, remote visualization, performance modeling.
Citation:
Qishi Wu, Mengxia Zhu, Yi Gu, Nageswara S.V. Rao, "System Design and Algorithmic Development for Computational Steering in Distributed Environments," IEEE Transactions on Parallel and Distributed Systems, vol. 21, no. 4, pp. 438-451, April 2010, doi:10.1109/TPDS.2009.81
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