System design and algorithmic development for computational steering in distributed environments

Qishi Wu, Mengxia Zhu, Yi Gu, Nageswara S.V. Rao

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Article number4967577
Pages (from-to)438-451
Number of pages14
JournalIEEE Transactions on Parallel and Distributed Systems
Volume21
Issue number4
DOIs
StatePublished - 1 Apr 2010

Keywords

  • Computational steering
  • Distributed computing
  • Performance modeling
  • Remote visualization

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