Journal article
A self-managing wide-area data streaming service
Cluster computing, v 10(4), pp 365-383
01 Dec 2007
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.
Metrics
Details
- Title
- A self-managing wide-area data streaming service
- Creators
- Viraj Bhat - Rutgers, The State University of New JerseyManish Parashar - Rutgers, The State University of New JerseyHua Liu - Xerox Innovation Group, Webster, USA 14580Nagarajan Kandasamy - Drexel UniversityMohit Khandekar - Drexel UniversityScott Klasky - Oak Ridge National LaboratorySherif Abdelwahed - Integrated Software
- Publication Details
- Cluster computing, v 10(4), pp 365-383
- Publisher
- Springer Nature
- Number of pages
- 19
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000250751600001
- Scopus ID
- 2-s2.0-35448948724
- Other Identifier
- 991019167736304721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods