Applying Synthesis Principles to Create Responsive Software Systems
IEEE Transactions on Software Engineering
Workflow handbook 1997
Multilevel k-way partitioning scheme for irregular graphs
Journal of Parallel and Distributed Computing
WebWork: METEOR_2‘s Web-Based Workflow Management System
Journal of Intelligent Information Systems - Special issue on workflow management systems
Production workflow: concepts and techniques
Production workflow: concepts and techniques
Performance solutions: a practical guide to creating responsive, scalable software
Performance solutions: a practical guide to creating responsive, scalable software
Workflow management: models, methods, and systems
Workflow management: models, methods, and systems
Introduction to Algorithms
COOPIS '97 Proceedings of the Second IFCIS International Conference on Cooperative Information Systems
Component and Data Distribution in a Distributed Workflow Management System
APSEC '98 Proceedings of the Fifth Asia Pacific Software Engineering Conference
Energy-efficient workflow distribution
Proceedings of the 5th International Conference on Communication System Software and Middleware
A hybrid workflow paradigm for integrating self-managing domain-specific applications
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
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A workflow is a collection of units of work called workflow tasks which cooperatively realize a business objective by utilizing system resources such as databases. The roles of workflow tasks are performed in the order driven by a computer representation of the workflow logic. During completing each task's role, the remote control transfers and the remote resource accesses may often occur in a distributed workflow system. Hence, the efficient distribution of workflow components, especially workflow tasks, is so effective as to improve the performance of workflow processing. If we can place adjacent workflow tasks as close as possible and locate workflow tasks near to the required resources, we can significantly reduce the overhead of workflow processing.In this paper, we propose an efficient workflow task allocation method in a distributed workflow system, which is based on the locality principle. The method that utilizes the concept of graph partitioning can improve the performanace of workflow processing by minimizing the remote processing costs incurred during workflow execution. In addition, we perform several experiments to evaluate our proposed method.