Offloading Decision for Mobile Multi-Access Edge Computing in a Multi-Tiered 6G Network
Offloading Decision for Mobile Multi-Access Edge Computing in a Multi-Tiered 6G Network
复制标题
多层 6G 网络中移动多接入边缘计算的卸载决策
DOI：
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发表时间：
2021
影响因子：
5.9
通讯作者：
N. Kato
中科院分区：
文献类型：
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作者：
Tiago Koketsu Rodrigues;Jiajia Liu;N. Kato
5G/6G 网络之外的未来电信系统将包括大量设备和高度多样化的应用，其中许多具有严格的处理要求和严格的延迟限制。为了满足这些需求，多接入边缘计算将在未来的云系统中发挥关键作用。用户可以将应用程序卸载到边缘云服务器，从而能够处理任务并快速响应输出。然而，要使这成为现实，为每个用户仔细选择服务器非常重要。由于用户移动性以及用户如何选择连接到远程云或在本地执行应用程序，这一决定变得复杂。在本文中，我们提出了一种启发式算法，用于在多个移动用户、多个服务器、多层场景中为每个用户确定最佳服务器。我们的建议考虑了在最小化总服务延迟的情况下传输和处理任务所需的时间，以及服务设置和服务器之间数据迁移所需的时间。此外，我们的方法尝试尽可能忠实地模仿现实生活场景。最后，分析表明我们的建议远远优于基准方法，甚至改进了文献中常用的解决方案。
Future telecommunication systems in beyond 5G/6G networks, will include a massive amount of devices and a high variation of applications, many of which with steep processing requirements and strict latency limitations. To satisfy such demands, Multi-access Edge Computing will play a key role in the future of cloud systems. Users can offload their applications to edge cloud servers, capable of processing their tasks and responding with an output quickly. However, for this to become a reality, it is important to carefully choose a server for each user. This decision is complicated by user mobility and how users could alternatively connect to the remote cloud or execute applications locally. In this article, we propose a heuristic algorithm for determining the best server for each user in a multiple mobile users, multiple servers, multi-tiered scenario. Our proposal considers the time needed for transmitting and processing tasks when minimizing the total service delay as well as the time needed for service setup and migration of data between servers. Moreover, our method attempts to mimic as faithfully as possible real-life scenarios. Finally, analysis shows that our proposal is vastly superior to benchmark methods and even improves upon a solution commonly used in the literature.