Complete edge function onloading for effective backend-driven cyber foraging
Complete edge function onloading for effective backend-driven cyber foraging
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DOI：
10.1109/wimob.2017.8115808
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发表时间：
2017-10
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影响因子：
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通讯作者：
Flavio Esposito;Andrej Cvetkovski;T. Dargahi;Jianli Pan
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文献类型：
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作者：
Flavio Esposito;Andrej Cvetkovski;T. Dargahi;Jianli Pan
边缘计算是新兴5G架构的基本组成部分，涉及将多个虚拟网络功能从移动的设备加载或卸载到边缘网络基底。在本文中，我们提出了一个完整的边缘功能加载问题的模型，它包括三个主要阶段：（1）网络觅食，这涉及到资源的发现，监测边缘资源的状态，（2）边缘功能映射，这涉及到匹配请求可用的资源，和（3）分配，这涉及到分配资源映射。使用优化理论，我们展示了这三个阶段是如何紧密相连的，以及现有的各种解决方案，无论是解决特定的阶段，或联合解决两个阶段（沿着与他们的相互作用），是不完整的，并可能导致效率低下。此外，通过大量的模拟实验，我们证明了所有三个阶段的联合优化使边缘网络能够承载更大的约束边缘函数请求集。
Edge computing, which is a fundamental component of emerging 5G architectures, involves onloading or offloading multiple virtual network functions from mobile devices to an edge network substrate. In this paper, we present a model for the complete edge function onloading problem, which consists of three main phases: (1) Cyber foraging, which involves discovery of resources monitoring the state of edge resources, (2) edge function mapping, which involves matching requests to available resources, and (3) allocation, which involves assigning resources to mappings. Using optimization theory, we show how these three phases are tightly connected, and how the wide spectrum of existing solutions that either solve a particular phase, or jointly solve two of the phases (along with their interactions), are incomplete and may lead to inefficiencies. Moreover, with extensive simulation experiments we demonstrate that joint optimization of all three phases enables the edge network to host a larger set of constrained edge function requests.