Private mobile edge cloud for 5G network applications

Abstract

Resource‐intensive real‐time IoT and 5G network applications require low latency, high data rates, and considerable computing and storage resources. Mobile cloud computing systems cannot fulfill the requirements of these applications due to high communication latency. Consequently, recently proposed edge computing implementations require adding new infrastructure or updating existing infrastructure. In addition, edge computing does not exploit the capabilities of end devices, which have become more powerful than supercomputers in the last decade. To overcome the drawbacks of mobile cloud and edge computing systems, we have proposed a private mobile edge cloud in which multiple mobile and stationary devices such as sensors, robots, home appliances, and smartphones, interconnected through infrastructure‐less and infrastructure‐based wireless local area networks are combined to create a small‐scale cloud data center at a local physical area such as a home. We have also discussed opportunities and research challenges associated with development of proposed system and a high‐level architecture based on a cross layer design for an efficient management of resources.

Design of a Machine Learning-Based Intelligent Middleware Platform for a Heterogeneous Private Edge Cloud System

“…Devices used in various smart city sectors [1], such as transportation, healthcare, and agriculture, generate a huge amount of data. The appropriate understating of these data presents numerous opportunities to organizations and governments.…”

“…These applications have diverse requirements, such as low latencies, high data rates, significant amounts of computing and storage resources, and access to the Internet of Things (IoT) devices. To address the requirements of these applications, several edge computing systems, such as cloudlet computing, mobile edge computing, and fog computing, were proposed [1][2][3][4]. The deployment of edge computing systems requires the addition of new infrastructure or the updating of existing infrastructure.…”

“…A heterogeneous private edge cloud system [1] is a small-scale cloud data center in a local physical area, such as a house or an office. It consists of various stationary and mobile devices, such as personal computers, mobile robots, smartphones, and sensors, which are interconnected through single or multiple infrastructure-based or infrastructureless wireless local area networks (LANs).…”

“…Such a platform is responsible for the discovery, monitoring, allocation, and management of resources. Compared with those of conventional systems, such as mobile ad hoc clouds [2] or edge clouds [4], the design of a middleware platform for a heterogeneous private edge cloud system is more challenging due to (1) the presence of heterogeneous devices, such as sensors, smartphones, mobile robots, and personal computers, and (2) a multilayer network environment. Existing middleware platforms are divided into two categories: middleware platforms for IoT systems and middleware platforms for distributed computing systems.…”

A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases

“…In this context, in [ 18 ], a technical overview of private 5G networks is provided, while spectrum opportunities and design challenges are discussed as well. In [ 19 ], a private mobile edge cloud was proposed to overcome the limitations of cloud-centered and edge computing systems. Based on the proposed framework, a number of bandwidth-demanding applications, such as pervasive video, virtual reality, and mobile video surveillance can be supported.…”