In 5G cloud computing, the most notable and considered design issues are the energy efficiency and delay. The majority of the recent studies were dedicated to optimizing the delay issue by leveraging the edge computing concept, while other studies directed its efforts towards realizing a green cloud by minimizing the energy consumption in the cloud. Active queue management‐based green cloud model (AGCM) as one of the recent green cloud models reduced the delay and energy consumption while maintaining a reliable throughput. Multiaccess edge computing (MEC) was established as a model for the edge computing concept and achieved remarkable enhancement to the delay issue. In this paper, we present a handoff scenario between the two cloud models, AGCM and MEC, to acquire the potential gain of such collaboration and investigate its impact on the cloud fundamental constraints; energy consumption, delay, and throughput. We examined our proposed model with simulation showing great enhancement for the delay, energy consumption, and throughput over either model when employed separately.

中文翻译：

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面向拥塞的5G多访问边缘计算协作模型

在5G云计算中，最值得注意的问题是能效和延迟。最近的大多数研究致力于通过利用边缘计算概念来优化延迟问题，而其他研究则致力于通过最小化云中的能源消耗来实现绿色云。基于活动队列管理的绿色云模型（AGCM）作为最新的绿色云模型之一，可以减少延迟和能耗，同时保持可靠的吞吐量。建立了多访问边缘计算（MEC）作为边缘计算概念的模型，并在延迟问题上取得了显着的进步。在本文中，我们提出了两种云模型AGCM和MEC之间的切换场景，获得这种合作的潜在收益并调查其对云基础约束的影响；能耗，延迟和吞吐量。我们通过仿真检查了我们提出的模型，结果表明，与单独使用两种模型相比，它们在延迟，能耗和吞吐量方面均具有极大的提高。