论文标题
物联网节能分布处理
Energy Efficient Distributed Processing for IoT
论文作者
论文摘要
在本文中，整个IoT-fog-cloud架构进行了建模，通过混合整数线性编程（MILP）优化了服务位置问题，并且共同最大程度地减少了处理和网络的总功耗。检查了物联网服务位置的四个方面：1）不可策划的服务，2）可拆分服务，3）用于子服务同步的服务间处理开销和4）部署特殊用途云数据中心（SP-DCS）。结果表明，对于一个电容性问题，服务拆分引入了高达86％的功耗，而与一般数据中心（GP-DCS）相关的处理不可策划的服务为46％。此外，可以观察到，间的子服务处理开销对服务分割的总数有很大影响。多么微不足道的处理开销的比率，结果表明，这并不是一个琐碎的问题，因此需要对该领域的很多关注才能充分利用网络边缘可用的资源。此外，优化结果表明，对于非常高的需求，SP-DC可以实现高达50％的功率，而GP-DC则可以实现30％。
In this paper, the entire IoT-fog-cloud architecture is modelled, the service placement problem is optimized through Mixed Integer Linear Programming (MILP) and the total power consumption is jointly minimized for processing and networking. Four aspects of IoT service placements are examined: 1) non-splittable services, 2) splittable services, 3) inter-service processing overhead for sub-service synchronization and 4) deployment of special-purpose cloud data centers (SP-DCs). The results showed that for a capacitated problem, service splitting introduces power consumption savings of up to 86% compared to 46% with non-splittable services in relation to processing in general-purpose data centers (GP-DCs). Moreover, it is observed that the inter sub-service processing overhead has a great influence on the total number of service splits. However much insignificant the ratio of the processing overhead, the results showed that this is not a trivial matter and hence much attention needs to paid to this area in order to make the best use of the resources that are available in the edge of the network. Moreover, the optimization results showed that, for very high demands, power savings of up to 50% could be achieved with SP-DCs compared to 30% with GP-DCs.
