JOURNAL ARTICLE

Workflow Similarity Measure for Process Clustering in Grid

Abstract

In grid environment, workflow process can be seen as not only cooperative approach of grid services and resources, but also reusable and sharable knowledge to settle specific problem. The research of grid workflow process clustering can promote knowledge discovery and reuse in grid. In this paper, we put forward a grid workflow process design method using event-condition-action (ECA) rule, and propose a new process similarity measure approach. Then, we use a case to prove the feasibility of the approach and show how to revise present clustering algorithm with the similarity measure approach briefly.

Keywords:
Workflow Computer science Cluster analysis Grid Reuse Data mining Workflow management system Process (computing) Grid computing Similarity measure Measure (data warehouse) Similarity (geometry) Semantic grid Process mining Workflow technology Database Information retrieval Business process management Work in process Artificial intelligence Business process Engineering Mathematics Programming language Semantic Web

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
11
Refs
0.20
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cognitive Computing and Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Service-Oriented Architecture and Web Services
Physical Sciences →  Computer Science →  Information Systems

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