Performance Modeling of an EPC Information Service System

Performance Modeling of an EPC Information Service System
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EPC信息服务系统性能建模

DOI:
10.7232/iems.2010.9.3.285
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发表时间:
2010
影响因子:
0.7
通讯作者:
S. Hong
S. Hong
中科院分区:
--
文献类型:
--
作者:
Sojung Kim;Yong;K. Son;Yong;J. Rhee;S. Hong

文献摘要

被引文献

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为了从供应链获取可见且可追溯的信息,EPC 全球网络的硬件/软件标准(处理从射频识别 (RFID) 标签读取的电子产品代码 (EPC) 数据)被视为事实上的行业标准。供应链参与者按照EPCglobal架构框架安装信息服务系统,为合作伙伴提供物流信息。尽管 Auto-ID 实验室指出,服务质量 (QoS) 对于提供可靠和可扩展的服务至关重要,但在 EPC 信息服务系统的背景下,仅开发了少数几个用于 QoS 相关工作性能分析的模型。具体来说,这样做可以以简单且经济高效的方式测试替代设计选择,并且可以在产生任何施工成本之前就突出设计中潜在的性能问题。因此,在本研究中,我们构建了一个 EPC 信息服务系统模型,用于性能分析和设计可靠的系统。我们还开发了一套用于分析性能模型的构建模块。为了说明该模型的工作原理,我们确定 EPC 信息服务系统的特征,然后选择这些经过验证的建模概念的组合。我们构建了一个性能模型,该模型考虑了响应时间并展示了如何得出有意义的性能值。最后,我们将分析结果与EPC信息服务系统的测量结果进行比较。
To obtain visible and traceable information from the supply chain, HW/SW standards for the EPC global network, which process electronic product code (EPC) data read from Radio frequency identification (RFID) tags, are regarded as the de facto industry standard. Supply chain participants install information service systems and provide logistics information to partners by following the EPCglobal architecture framework. Although quality of service (QoS) is essential for providing dependable and scalable services as pointed out by Auto-ID Lab, only a few models for the performance analysis of QoS-related work have been developed in the context of EPC information service systems. Specifically, doing so allows alternative design choices to be tested in an easy and cost-effective manner and can highlight potential performance problems in designs long before any construction costs are incurred. Thus, in this study we construct a model of an EPC information service system for the purposes of performance analysis and designing a dependable system. We also develop a set of building blocks for analytical performance models. To illustrate how the model works, we determine the characteristics of an EPC information service system and then select a combination of these proven modeling concepts. We construct a performance model that considers the response time and shows how to derive meaningful performance values. Finally, we compare the analytical results to measurements of the EPC information service system.