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Computation Offloading with Virtual Resources Management in Mobile Edge Networks

机译:移动边缘网络中使用虚拟资源管理进行计算分流

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The main requirement of the computation offloading service is the low service delay, which would correspond to a high Quality of Service (QoS). Recently, many works show that placing virtual resources (e.g., computing resource) in the Mobile Edge Network (MEN) to form a Mobile Edge Computing (MEC) system contributes to a lower service delay. However, due to the limited virtual resource in the MEN and the constraints of the wireless channel condition, only part of users can be served with low enough service delay. Moreover, considering the independent virtual machine (VM) environment on the MEC server in MEN for each user, efficient virtual resources management is needed. In this paper, we propose two computation offloading strategies combined with the virtual resources management to minimize the average service delay, where the virtual resources consists of the computing resources and the storage resources. One of the proposed strategies guarantees the fairness of users while the other one not. Then the optimal deployments of VMs with different strategies are obtained through the simulations. We also find and calculate the optimal proportion of these two kinds of virtual resource when there is only a limited budget for them.
机译:计算卸载服务的主要要求是低服务延迟,这将对应于高服务质量(QoS)。最近,许多工作表明,将虚拟资源(例如,计算资源)放置在移动边缘网络(MEN)中以形成移动边缘计算(MEC)系统有助于降低服务延迟。但是,由于MEN中有限的虚拟资源和无线信道条件的限制,仅可以用足够低的服务延迟为部分用户提供服务。此外,考虑到每个用户的MEN中MEC服务器上的独立虚拟机(VM)环境,需要有效的虚拟资源管理。在本文中,我们提出了两种与虚拟资源管理相结合的计算分流策略,以最大程度地减少平均服务延迟,其中虚拟资源由计算资源和存储资源组成。提出的策略之一保证了用户的公平,而另一种则不能。然后通过仿真获得了具有不同策略的虚拟机的最优部署。当预算有限时,我们还会找到并计算这两种虚拟资源的最佳比例。

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