论文标题
雾计算网络中资源分配的资源表示
A Resources Representation For Resource Allocation In Fog Computing Networks
论文作者
论文摘要
通过使数据处理和分析接近其来源，雾计算正在作为处理潜伏期敏感应用程序的新范式。由于雾中的设备的异质性，重要的是要设计新颖的解决方案，这些解决方案考虑到每个设备中可用的各种物理资源，以有效地动态分发处理。在本文中，我们提出了一个资源表示方案，该方案允许通过移动边缘计算应用程序编程界面（MEC API）公开每个设备的资源，以优化FOG中监督实体的资源分配。然后，我们将资源分配问题作为Lyapunov优化，并讨论我们提出的方法对延迟的影响。仿真结果表明，我们提出的方法可以最大程度地减少潜伏期并改善系统的性能。
Fog computing is emerging as a new paradigm to deal with latency-sensitive applications, by making data processing and analysis close to their source. Due to the heterogeneity of devices in the fog, it is important to devise novel solutions which take into account the diverse physical resources available in each device to efficiently and dynamically distribute the processing. In this paper, we propose a resource representation scheme which allows exposing the resources of each device through Mobile Edge Computing Application Programming Interfaces (MEC APIs) in order to optimize resource allocation by the supervising entity in the fog. Then, we formulate the resource allocation problem as a Lyapunov optimization and we discuss the impact of our proposed approach on latency. Simulation results show that our proposed approach can minimize latency and improve the performance of the system.
