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首页> 外文期刊>International Journal of Web & Semantic Technology >A Cloud Based Architecture for Working on Big Data with Workflow Management
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A Cloud Based Architecture for Working on Big Data with Workflow Management

机译:基于云的架构,可通过工作流管理来处理大数据

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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.
机译:在实际环境中,存在许多复杂且模糊的数据的集合,称为大数据。另一方面,已经开发了用于数据中间件的工具,并且现在已被广泛使用。处理大数据的挑战在于其处理和管理。在这里,需要集成管理系统来提供一种集成多个传感器的数据并最大化目标成功率的解决方案。在这种情况下,系统具有恒定的处理时间约束和实时决策流程。可靠的数据融合模型必须满足其要求,并稳定地让用户监控数据流。随着工作流接口s的广泛使用,可以满足这一要求。但是,大数据的工作也具有挑战性。我们提供了一种基于多代理云的架构,以提供更高的可视性来解决此问题。该架构提供了使用工作流管理界面进行大数据融合的功能。所提出的系统能够在存在风险的情况下自我修复,并且其风险较低。

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