移动边缘计算协同空间中基于核心服务器的资源分配方法

Yiran Yang, Yi Wang, Ren-gang Wang, Shiqiang Chu
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引用次数: 7

摘要

移动边缘计算(MEC)允许移动设备将计算任务卸载到附近的基站或无线接入点,并使用户在新一代移动通信中拥有更多资源。然而,由于MEC服务器的存储和计算能力有限,多台服务器之间相当复杂的资源分配带来了传输延迟和可靠性低等问题。在本文中,我们提出了一种协作空间中的资源分配方法,该方法将MEC服务器作为核心服务器,存储并向其他服务器提供最流行的资源。根据MEC的实际应用,给出了传输时延的目标优化。仿真结果表明,与传统方法相比,该方法能有效降低传输时延。
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A resource allocation method based on the core server in the collaborative space for mobile edge computing
Mobile edge computing (MEC) allows mobile devices to offload computing tasks to nearby base stations or wireless access points, and empowers users to have more resources in the new-generation mobile communications. However, with the limited storage and computing capacity of MEC servers, the rather complex resource allocation among multiple servers brings many problems such as transmission delay and low reliability. In this paper, we propose a resource allocation method in a collaborative space, which sets a MEC server as the core server to store and provide the most prevalent resources to other servers. According to the actual application with MEC, a goal optimization of transmission delay is given. Simulation results show that the proposed method can decrease the transmission delay compared with traditional method.
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