Distributed Scientific Workflow Management for Data-Intensive Applications

被引：4

作者：

Shumilov, S. ^{[1
]}

Leng, Y. ^{[1
]}

El-Gayyar, M. ^{[1
]}

Cremers, A. B. ^{[1
]}

机构：

[1] Univ Bonn, Comp Sci Dept 3, D-5300 Bonn, Germany

来源：

12TH IEEE INTERNATIONAL WORKSHOP ON FUTURE TRENDS OF DISTRIBUTED COMPUTING SYSTEMS, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/FTDCS.2008.39

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Grids and service-oriented technologies are emerging as dominant approaches fir distributed systems. Rising complexity of grid applications places new requirements and increases needs to improve the design and reusability of grid workflow systems. In particular, scientific data-intensive workflows require new approaches for integration and coordination of distributed resources. Traditional centralized approaches for workflow execution can be quite efficient for such workflows. In order to clarify these inefficient, the paper surveys existing workflow management systems evaluating them practically on some use cases for management of natural resources from the multidisciplinary research project GLOWA Volta. Subsequently, the most important obstacles are identified and a new approach facilitating semantic oriented composition, reuse and distributed execution of workflows is proposed.

引用

页码：65 / 73

页数：9