Optimal Edge Resource Allocation in IoT-Based Smart Cities
Optimal Edge Resource Allocation in IoT-Based Smart Cities
复制标题
基于物联网的智慧城市中的最佳边缘资源分配
DOI：
10.1109/mnet.2019.1800221
复制
发表时间：
2019-03-01
期刊：
影响因子：
9.3
通讯作者：
Kato, Nei
中科院分区：
文献类型：
--
作者：
Zhao, Lei;Wang, Jiada;Kato, Nei
在基于物联网的智慧城市中，大量异构的物联网设备正在运行各种各样的先进服务，以便在城市生活的各个领域实现前所未有的智能性和高效性。鉴于物联网设备数量呈指数级增长，智慧城市服务数量众多，且它们对服务质量（QoS）有不同要求，服务器要将有限的资源最优地分配给所有托管应用以获得令人满意的性能，这一直是一个巨大的挑战。需要注意的是，通过将计算和存储资源推到终端物联网设备附近，并在分布式边缘服务器中部署应用，边缘计算技术似乎是应对这一挑战的一个有前景的解决方案。为此，我们在本文中研究如何分配边缘资源以使平均服务响应时间最小化。除了所提出的算法外，还给出了大量的数值结果以验证其有效性。
With IoT-based smart cities, massive heterogeneous IoT devices are running diverse advanced services for unprecedented intelligence and efficiency in various domains of city life. Given the exponentially growing number of IoT devices and the large number of smart city services as well as their different QoS requirements, it has been a big challenge for servers to optimally allocate limited resources to all hosted applications for satisfactory performance. Note that by pushing the computing and storage resources to the proximity of end IoT devices, and deploying applications in distributed edge servers, edge computing technology appears to be a promising solution for this challenge. Toward this, we study in this article how to allocate edge resources for average service response time minimization. Besides the proposed algorithms, extensive numerical results are also presented to validate their efficacy.