Over the last decades, the emerging paradigms, e.g., centralized mobile cloud computing (MCC), multi-access edge computing (MEC), and collaborative computing offloading (CCO), have attracted extensive attention in adaptive 5G low latency communication for Tactile Internet. Besides, a novel integrated wireless optical transport network emerges in access networks and supports joint fronthaul and backhaul services. Therefore, considering that the task offloading response time, the needs of proximity, and the ultra-dense 5G small cell deployment, a novelty hybrid cloudlet deployment scheme over fiber and wireless backhaul-aware infrastructure is created with efficient cost optimization in mind. In this work, the envisioned Fiber Wireless networks (FiWi) consists of optical backhaul and wireless fronthaul (i.e., integrated access network and backhaul link), whereby base stations (BSs) with fiber and wireless backhauls are referred as wired-BS (WBS) and unwired-BS (UBS), respectively. Therefore, to meet the quality of service (QoS) delay constraints, cloudlets can be deployed in either UBSs, WBS, or remote node (RN). However, we apply mixed-integer line programming (MILP) to resolve the convex optimization problem in terms of minimization deployment cost. Besides, we describe the QoS-aware hybrid cloudlet placement cost algorithm for WBS and UBS coverage areas against different network conditions. It was shown through experimental measurements that the proposed architecture can achieve the scalability in different deployment scenarios. Also, the dependency of minimization cloudlet deployment cost on variable network parameters in terms of user density, network framework, and network QoS can be validated.

在过去的几十年中，新兴的范式，例如集中式移动云计算（MCC）、多接入边缘计算（MEC）和协作计算卸载（CCO），在触觉互联网的自适应 5G 低延迟通信中引起了广泛关注。此外，接入网络中出现了一种新型的综合无线光传输网络，支持联合前传和回传业务。因此，考虑到任务卸载响应时间、邻近需求和超密集 5G 小基站部署，在考虑有效成本优化的情况下，创建了一种基于光纤和无线回程感知基础设施的新颖混合云部署方案。在这项工作中，设想的光纤无线网络（FiWi）由光回程和无线前传（即，集成接入网络和回程链路），其中具有光纤和无线回程的基站 (BS) 分别称为有线基站 (WBS) 和无线基站 (UBS)。因此，为了满足服务质量 (QoS) 延迟约束，小云可以部署在 UBS、WBS 或远程节点 (RN) 中。然而，我们应用混合整数线规划 (MILP) 来解决最小化部署成本方面的凸优化问题。此外，我们描述了针对不同网络条件的 WBS 和 UBS 覆盖区域的 QoS 感知混合云放置成本算法。通过实验测量表明，所提出的架构可以在不同的部署场景中实现可扩展性。此外，根据用户密度，最小化 cloudlet 部署成本对可变网络参数的依赖性，