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Agent-based middleware framework using distributed CPS for improving resource utilization in smart city
Future Generation Computer Systems ( IF 6.2 ) Pub Date : 2020-03-04 , DOI: 10.1016/j.future.2020.03.006
Kuo-Chi Chang , Kai-Chun Chu , Hsiao-Chuan Wang , Yuh-Chung Lin , Jeng-Shyang Pan

Smart city user communications have emerged in millions with the increase in application demands and technologies. Application and quality based information exchange are autonomous with hand-held devices participating in communication or requesting services. Controlling resource management in such environment is tedious due to their distributed, asynchronous, and mobility features. An agent-based middleware framework (AMF) using distributed Cyber Physical System (CPS) is proposed in this manuscript for improving communication reliability in smart city environment. Agent-technology with linear computation model evades the data source downtime issues. The agents are autonomous and are independent of each other in providing seamless resource sharing and response scheduling irrespective of the request queries and communication time. This framework jointly addresses the request failure and response time problem by balancing the storage and resource utilization in an optimal manner. The linear computation model classifies the overloaded agents to assign non-overlapping resources and thereby improving the response for the processed query. The performance of the proposed framework is analyzed using resource and storage utilization, response and downtime for varying query requests and time.



中文翻译:

使用分布式CPS的基于代理的中间件框架可提高智慧城市的资源利用率

随着应用需求和技术的增长,智慧城市用户通信已经出现了数百万种。基于应用程序和质量的信息交换是参与通信或请求服务的手持设备的自主性。由于它们具有分布式,异步和移动性功能,因此在这样的环境中控制资源管理很乏味。本文提出了一种使用分布式网络物理系统(CPS)的基于代理的中间件框架(AMF),以提高智能城市环境中的通信可靠性。具有线性计算模型的代理技术可避免数据源停机问题。代理是自主的,并且在提供无缝的资源共享和响应调度方面彼此独立,而与请求查询和通信时间无关。该框架通过以最佳方式平衡存储和资源利用率来共同解决请求失败和响应时间问题。线性计算模型对过载的代理进行分类,以分配非重叠资源,从而改善对已处理查询的响应。使用资源和存储利用率,响应和停机时间(针对各种查询请求和时间)来分析所提出框架的性能。

更新日期:2020-03-04
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