Conference proceeding
A self-managing wide-area data streaming service using model-based online control
2006 7TH IEEE/ACM INTERNATIONAL CONFERENCE ON GRID COMPUTING, pp 176-183
01 Jan 2006
Featured in Collection : UN Sustainable Development Goals @ Drexel
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 implementation 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.
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Details
- Title
- A self-managing wide-area data streaming service using model-based online control
- Creators
- Viraj Bhae - Rutgers State Univ, Dept Elect & Comp Engn, 94 Brett Rd, Piscataway, NJ 08854 USAManish Parasha - Rutgers State Univ, Dept Elect & Comp Engn, 94 Brett Rd, Piscataway, NJ 08854 USAMohit Khandekar - Drexel UniversityNagarajan Kandasamy - Drexel UniversityScoff Klasky - Oak Ridge Natl Lab, Oak Ridge, TN 37831 USAIEEE
- Publication Details
- 2006 7TH IEEE/ACM INTERNATIONAL CONFERENCE ON GRID COMPUTING, pp 176-183
- Conference
- 2006 7TH IEEE/ACM INTERNATIONAL CONFERENCE ON GRID COMPUTING, 7th
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- DE-FG02-06ER54857 / Department of Energy; United States Department of Energy (DOE) ACI 9984357; EIA 0103674; EIA0120934; ANI 0335244; CNS 0305495; CNS 0426354; IIS 0430826 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000245376900023
- Scopus ID
- 2-s2.0-46149095557
- Other Identifier
- 991019170386104721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Theory & Methods