A self-managing wide-area data streaming service

Viraj Bhat, Manish Parashar, Hua Liu, Nagarajan Kandasamy, Mohit Khandekar, Scott Klasky, Sherif Abdelwahed

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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 paper presents a design and im-plementation of such a self-managing data-streaming service based on online control strategies. A Grid-based fusion workflow scenario is used to evaluate the service and demonstrate its feasibility and performance.

Original languageEnglish
Pages (from-to)365-383
Number of pages19
JournalTertiary Education and Management
Volume10
Issue number4
DOIs
StatePublished - 2004

Funding

FundersFunder number
National Science FoundationCNS 0305495, CNS 0426354, EIA 0120934, IIS 0430826, ACI 9984357, DE-FG02-06ER54857, EIA 0103674, ANI 0335244, CNS 0613971

    Keywords

    • Autonomic computing
    • Grid computing
    • Model based online control
    • Scientific data streaming

    Fingerprint

    Dive into the research topics of 'A self-managing wide-area data streaming service'. Together they form a unique fingerprint.

    Cite this