Crossing Scientific Workflow Fragments Discovery Through Activity Abstraction in Smart Campus
Wen, Jinfeng1,2; Zhou, Zhangbing1,3; Shi, Zhensheng4; Wang, Junping5,6; Duan, Yucong7; Zhang, Yaqiang1
2018
发表期刊IEEE ACCESS
卷号6页码:40530-40546
文章类型Article
摘要Considering the knowledge-intensity and error-prone of developing scientific workflows from scratch, reusing and repurposing current workflows are the effective and efficient solution to support scientists for conducting novel experiments, and this strategy is deemed as important to achieve the objective of smart campus. An experiment may be relevant with one or multiple scientific workflows. This observation drives us to propose a technique that can discover and recommend cross-workflow fragments with respect to the requirement of novel experiments. Specifically, the functionally similar activities are clustered through adopting a modularity-based community discovery clustering technique, and they are represented as abstract activities. An abstract activity network model is constructed accordingly to reflect the invocation relations among abstract activities. Structural and semantic similar workflow fragments are discovered from the abstract activity network through the sub-graph matching algorithm. These fragments are instantiated through replacing abstract activities by appropriate activities in certain activity clusters. These instantiated workflow fragments are ranked and recommended for their reuse and repurposing purpose. Experimental evaluation results demonstrate that our technique is accurate and efficient on discovering and recommending appropriate cross-workflow fragments.
关键词Scientific Workflow Community Discovery Clustering Abstract Activity Cross-workflow Fragment Recommendation
WOS标题词Science & Technology ; Technology
DOI10.1109/ACCESS.2018.2857482
关键词[WOS]SERVICE COMPOSITION ; SENSOR-CLOUD ; BIG DATA ; SIMILARITY ; PATTERNS ; SYSTEMS ; SEARCH ; CITY
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61772479 ; Open Foundation of State key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications(SKLNST-2018-1-13) ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Beijing), China ; 61662021)
WOS研究方向Computer Science ; Engineering ; Telecommunications
WOS类目Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号WOS:000441868800018
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21827
专题精密感知与控制研究中心_人工智能与机器学习
作者单位1.China Univ Geosci Beijing, Sch Informat Engn, Beijing 100083, Peoples R China
2.Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
3.TELECOM SudParis, Comp Sci Dept, F-91011 Evry, France
4.PetroChina Res Inst Petr Explorat & Dev, Langfang 065007, Peoples R China
5.Chinese Acad Sci, Inst Automat, Lab Precis Sensing, Beijing 100190, Peoples R China
6.Chinese Acad Sci, Inst Automat, Control Ctr, Beijing 100190, Peoples R China
7.Hainan Univ, Coll Informat Sci & Technol, Haikou 570228, Hainan, Peoples R China
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Wen, Jinfeng,Zhou, Zhangbing,Shi, Zhensheng,et al. Crossing Scientific Workflow Fragments Discovery Through Activity Abstraction in Smart Campus[J]. IEEE ACCESS,2018,6:40530-40546.
APA Wen, Jinfeng,Zhou, Zhangbing,Shi, Zhensheng,Wang, Junping,Duan, Yucong,&Zhang, Yaqiang.(2018).Crossing Scientific Workflow Fragments Discovery Through Activity Abstraction in Smart Campus.IEEE ACCESS,6,40530-40546.
MLA Wen, Jinfeng,et al."Crossing Scientific Workflow Fragments Discovery Through Activity Abstraction in Smart Campus".IEEE ACCESS 6(2018):40530-40546.
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