A data-operation model based on partial vector space for batch processing in workflow

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Title: A data-operation model based on partial vector space for batch processing in workflow
Author(s): Liu, Jianxun; Wen, Yiping; Li, Ting; Zhang, Xuyun
Abstract: Batch processing in workflow schedules activity instances in multiple workflow cases of the same workflow type to run as a group. It can optimize business processes execution dynamically. To achieve this goal, it is necessary to define a dataflow operation language to group and ungroup the data in multiple cases of a workflow. Though our previous work has preliminarily investigated the model and its implementation, there is still lack of a formally defined model. In this paper, we first propose a method that is based on a partial vector space to model the dataflow in multiple workflow cases. Based on this model, the data operation primitives for batch processing are specified and defined formally. Since most WfMSs (Workflow Management Systems) use RDBMS (relational database management system) to store their data currently, an SQL (Structured Query Language)-like implementation language, namely DBOL (Data Batch Operation Language), is proposed. Evaluation experiments have also been done to show its performance.
Publication type: Journal article
Research centre: Swinburne University of Technology. Faculty of Information and Communication Technologies
Source: Concurrency and Computation: Practice and Experience: selected papers from the Fourth International Workshop on Workﬂow Management (ICWM2009), Geneva, Switzerland, 04 May 2009, Vol. 23, no. 16 (Nov 2011), pp. 1936-1950
Publication year: 2011
FOR Code(s): 0805 Distributed Computing
Keyword(s): Batch processing; Data Batch Operation Language; DBOL; Partial vector space model; Workflow
Publisher: John Wiley & Sons
ISSN: 1532-0626
Publisher URL: http://dx.doi.org/10.1002/cpe.1738
Additional information: The authors acknowledge support from the Natural Science Foundation of China under grant no. 60673119, 90818004, the New Century Talent Plan of Education Department of China under grant no. NCET-10-0140, and the Scientific Research Fund of Hunan Provincial Education Department of China under grant no: 09K085.
Peer reviewed