Autonomic data streaming for high-performance scientific applications

Viraj Bhat, Manish Parashar, Nagarajan Kandasamy

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations


Efficient and robust data-streaming services are a critical requirement of emerging Grid applications, which are based on seamless interactions and coupling between geographically distributed application components. Furthermore, the dynamism of Grid environments and applications requires that these services be able to continually manage and optimize their operation based on system state and application requirements. This chapter presents a design and implementation of such a self-managing data-streaming service that is based on online control and optimization strategies. A Grid-based fusion workflow scenario is used to evaluate the service and demonstrate its feasibility and performance.

Original languageEnglish (US)
Title of host publicationAutonomic Computing
Subtitle of host publicationConcepts, Infrastructure, and Applications
PublisherCRC Press
Number of pages22
ISBN (Electronic)9781420009354
ISBN (Print)0849393671, 9780849393679
StatePublished - Jan 1 2006


All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Bhat, V., Parashar, M., & Kandasamy, N. (2006). Autonomic data streaming for high-performance scientific applications. In Autonomic Computing: Concepts, Infrastructure, and Applications (pp. 413-434). CRC Press.