期刊名称：International Journal of Web & Semantic Technology
印刷版ISSN：0976-2280
电子版ISSN：0975-9026
出版年度：2018
卷号：9
期号：2
页码：1-11
DOI：10.5121/ijwest.2018.9201
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In real environment there is a collection of many n oisy and vague data, called Big Data. On the other hand, to work on the data middleware have been developed and is now very widely used. The challenge of working on Big Data is its processing and managemen t. Here, integrated management system is required to provide a solution for integrating data from mul tiple sensors and maximize the target success. This is in situation that the system has constant time constra ins for processing, and real-time decision-making processes. A reliable data fusion model must meet t his requirement and steadily let the user monitor d ata stream. With widespread using of workflow interface s, this requirement can be addressed. But, the work with Big Data is also challenging. We provide a mul ti-agent cloud-based architecture for a higher visi on to solve this problem. This architecture provides the ability to Big Data Fusion using a workflow managem ent interface. The proposed system is capable of self-r epair in the presence of risks and its risk is low.
关键词：Workflow Management Interface; Multi-Sensor Data Fu sion; Big Data; Cloud Computing
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