A mobile code collaboration framework for grid computing

Data intensive scientific applications often involve diverse, high volume, and distributed data sets. They can generally be viewed as job workflows in which subjobs (ie., nodes or activities) represent application components and dependencies represent the interactions between the components.

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Bibliographic Details
Main Author: Feng, Yuhong
Other Authors: Cai Wentong
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
Online Access:https://hdl.handle.net/10356/13596
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Institution: Nanyang Technological University
Language: English
Description
Summary:Data intensive scientific applications often involve diverse, high volume, and distributed data sets. They can generally be viewed as job workflows in which subjobs (ie., nodes or activities) represent application components and dependencies represent the interactions between the components.