Biblio

In mobile edge computing, edge devices collect data, and an edge server performs computational or data processing tasks that need real-time processing. Depending upon the requested task's complexity, an edge server executes it locally or remotely in the cloud. When an edge server needs to offload its computational tasks, there could be a sudden failure in the cloud or network. In this scenario, we need to provide a flexible execution model to edge devices and servers for the continuous execution of the task. To that end, in this paper, we induced a middleware system that allows an edge server to execute a task on the edge devices instead of offloading it to a cloud server. Edge devices not only send data to an edge server for further processing but also execute edge services by utilizing nearby edge devices' computing resources. We extend the concept of service-oriented architecture and integrate a decentralized peer-to-peer network architecture to achieve reusability, location-specific security, and reliability. By following our methodology, software developers can enhance their application in a collaborative environment without worrying about low-level implementation.