Journals Proceedings

Abstract

Internet changed how the people live and access the information that they need. Thanks to the accessibility and the benefits that it brings into the lives, new research areas are emerging. One of the areas is Internet of Things (IoT) which connects countless of devices to the Internet. Increasing usage in IoT tremendously increases the count of connected devices to the Internet as well as the data generated and transferred through the Internet. However, this increase brings several issues which could degrade the Quality of Service (QoS) with such as delays or even failed requests. Edge Computing is a new paradigm which is believed to solve the problems that the current IoT and Cloud solutions have. This paper introduces a new architecture for Edge Servers which is expected to reduce the latency and solve the resource problems of the end-devices. The proposed Edge Server architecture has an ability to decide whether the task should be offloaded to the Cloud or another Edge Server by considering the several parameters such as available resources and network delays. The server is also real-time capable and extensible with optional modules such as artificial intelligence, storage, wireless communication, etc