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Mobile Cloud computing architecture for massively parallelizable geometric computation
Computers in Industry ( IF 10.0 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.compind.2020.103336
Víctor Sánchez Ribes , Higinio Mora , Andrzej Sobecki , Francisco José Mora Gimeno

Cloud Computing is one of the most disruptive technologies of this century. This technology has been widely adopted in many areas of the society. In the field of manufacturing industry, it can be used to provide advantages in the execution of the complex geometric computation algorithms involved on CAD/CAM processes. The idea proposed in this research consists in outsourcing part of the load to be computed in the client machines to the cloud through the Mobile Cloud Computing paradigm. This practice gives substantial benefits to both the clients and the software-provider in terms of costs, flexibility, ubiquity and performance. In this document, an outsourcing architecture is proposed based on this paradigm. Extensive experiments have been done using highly parallelizable computational geometry operations to show the strengths and weaknesses of the proposal in combination of specialized computing platforms in the cloud. The results suggest that there are some issues that affect the overall performance and the stability of the QoS: the network communication delay, and the number of simultaneous clients and multiple requests. Some solutions have been proposed to face these challenges.



中文翻译:

可大规模并行化几何计算的移动云计算架构

云计算是本世纪最具破坏性的技术之一。该技术已被社会的许多领域广泛采用。在制造业领域中,它可用于在执行CAD / CAM过程中涉及的复杂几何计算算法方面提供优势。这项研究中提出的想法在于通过移动云计算范例将要在客户端计算机中计算的部分负载外包给云。这种做法在成本,灵活性,普遍性和性能方面为客户和软件提供者都带来了实质性的好处。在本文档中,基于此范例提出了外包架构。使用高度可并行化的计算几何运算已进行了广泛的实验,以结合云中的专用计算平台来显示该建议的优缺点。结果表明,存在一些影响QoS的整体性能和稳定性的问题:网络通信延迟以及同时出现的客户端和多个请求的数量。已经提出了一些解决方案来面对这些挑战。

更新日期:2020-11-02
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