{"title":"数据密集型工作流应用的模型和运行时系统","authors":"N. Haddar, M. Tmar","doi":"10.1109/PDCAT.2017.00075","DOIUrl":null,"url":null,"abstract":"The paper studies the principal emerged data-centric business process models and workflow systems. Especially, the paper presents a comparative study based on substantial criteria that must be meet in a data-centric process model and its run-time system. This study allows to identify several recommended enhancement in further researches.","PeriodicalId":119197,"journal":{"name":"2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Models and Run-Time Systems for Data Intensive Workflow Applications\",\"authors\":\"N. Haddar, M. Tmar\",\"doi\":\"10.1109/PDCAT.2017.00075\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper studies the principal emerged data-centric business process models and workflow systems. Especially, the paper presents a comparative study based on substantial criteria that must be meet in a data-centric process model and its run-time system. This study allows to identify several recommended enhancement in further researches.\",\"PeriodicalId\":119197,\"journal\":{\"name\":\"2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDCAT.2017.00075\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDCAT.2017.00075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Models and Run-Time Systems for Data Intensive Workflow Applications
The paper studies the principal emerged data-centric business process models and workflow systems. Especially, the paper presents a comparative study based on substantial criteria that must be meet in a data-centric process model and its run-time system. This study allows to identify several recommended enhancement in further researches.
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