A self-managing wide-area data streaming service

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

doi:10.1007/s10586-007-0023-x

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 journal › Article › peer-review

5 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 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.

Original language	English
Pages (from-to)	365-383
Number of pages	19
Journal	Cluster Computing
Volume	10
Issue number	4
DOIs	https://doi.org/10.1007/s10586-007-0023-x
State	Published - Dec 2007

Keywords

Autonomic computing
Grid computing
Model based online control
Scientific data streaming

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10.1007/s10586-007-0023-x

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AU - Liu, Hua

AU - Kandasamy, Nagarajan

AU - Khandekar, Mohit

AU - Klasky, Scott

AU - Abdelwahed, Sherif

PY - 2007/12

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AB - 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.

KW - Autonomic computing

KW - Grid computing

KW - Model based online control

KW - Scientific data streaming

UR - https://www.scopus.com/pages/publications/35448948724

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JO - Cluster Computing

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ER -

A self-managing wide-area data streaming service

Abstract

Keywords

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