The cloudlets can be deployed over mobile devices or even fixed state powerful servers that can provide services to its users in physical proximity. Executing workloads on cloudlets involves challenges centering on limited computing resources. Executing Virtual Machine (VM) based workloads for cloudlets does not scale due to the high computational demands of a VM. Another approach is to execute container-based workloads on cloudlets. However, container-based methods suffer from the cold-start problem, making it unfit for mobile edge computing scenarios. In this work, we introduce executing serverless functions on Web-assembly as workloads for both mobile and fixed state cloudlets. To execute the serverless workload on mobile cloudlets, we built a lightweight Web-assembly runtime. The orchestration of workloads and management of cloudlets or serverless runtime is done by introducing software-defined Cyber Foraging (SDCF) framework, which is a hybrid controller including a control plane for local networks and cloudlets. The SDCF framework integrates the management of cloudlets by utilizing the control plane traffic of the underlying network and thus avoids the extra overhead of cloudlet control plane traffic management. We evaluate SDCF using three use cases: (1) Price aware resource allocation (2) Energy aware resource scheduling for mobile cloudlets (3) Mobility pattern aware resource scheduling in mobile cloudlets. Through the virtualization of cloudlet resources, SDCF preserves minimal maintenance property by providing a centralized approach for configuring and management of cloudlets.

中文翻译：

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SDCF：适用于 Cloudlet 环境的软件定义的网络觅食框架


Cloudlet 可以部署在移动设备上，甚至可以部署在固定状态的强大服务器上，这些服务器可以为物理上接近的用户提供服务。在 Cloudlet 上执行工作负载面临着以有限计算资源为中心的挑战。由于 VM 的高计算需求，为 cloudlet 执行基于虚拟机 (VM) 的工作负载无法扩展。另一种方法是在 Cloudlet 上执行基于容器的工作负载。然而，基于容器的方法存在冷启动问题，不适合移动边缘计算场景。在这项工作中，我们介绍了在 Web 组件上执行无服务器功能作为移动和固定状态云的工作负载。为了在移动 Cloudlet 上执行无服务器工作负载，我们构建了一个轻量级 Web 程序集运行时。工作负载的编排以及 Cloudlet 或无服务器运行时的管理是通过引入软件定义的 Cyber​​ Foraging (SDCF) 框架来完成的，该框架是一个混合控制器，包括用于本地网络和 Cloudlet 的控制平面。 SDCF框架利用底层网络的控制平面流量来集成对Cloudlet的管理，从而避免了Cloudlet控制平面流量管理的额外开销。我们使用三个用例来评估 SDCF：(1) 价格感知资源分配 (2) 移动云中的能源感知资源调度 (3) 移动云中的移动模式感知资源调度。通过 cloudlet 资源的虚拟化，SDCF 通过提供用于配置和管理 cloudlet 的集中方法来保留最少的维护属性。