Edge computing: A survey

By Wazir Zada Khan, Ejaz Ahmed, Saqib Hakak, Ibrar Yaqoob, Arif Ahmed. Future generations computer systems, 2019

988 citations recorded by the source corpus.

Abstract In recent years, the Edge computing paradigm has gained considerable popularity in academic and industrial circles. It serves as a key enabler for many future technologies like 5G, Internet of Things (IoT), augmented reality and vehicle-to-vehicle communications by connecting cloud computing facilities and services to the end users. The Edge computing paradigm provides low latency, mobility, and location awareness support to delay-sensitive applications. Significant research has been carried out in the area of Edge computing, which is reviewed in terms of latest developments such as Mobile Edge Computing, Cloudlet, and Fog computing, resulting in providing researchers with more insight into the existing solutions and future applications. This article is meant to serve as a comprehensive survey of recent advancements in Edge computing highlighting the core applications. It also discusses the importance of Edge computing in real life scenarios where response time constitutes the fundamental requirement for many applications. The article concludes with identifying the requirements and discuss open research challenges in Edge computing.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/a499354bff1c056ad262484d1a645675498a7e43

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Madhusanka Liyanage
2. Najmul Hassan
3. Shen Wang
4. Kok-Lim Alvin Yau
5. Celimuge Wu
6. Patrick McEnroe

In Information Systems

1. Madhusanka Liyanage
2. Kok-Lim Alvin Yau

Citations in the corpus

• A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things (2020, background): “Although there are existing surveys related to security and privacy in the context of EC-assisted IoT [5]–[7], [19], [35]–[42], they are either: 1) still missing some of the most recent and prominent research works; 2) covering a limited number of security and privacy issues; 3) do not adequately co”
• Edge Computing in 5G: A Review (2019, background): “INTRODUCTION Edge computing is a computational paradigm that enables edge servers in mini clouds (or edge clouds) to extend cloud capabilities at the edge of the network to perform computationally-intensive tasks and store a massive amount of data at close proximity to user equipment (UEs) [1]–[3].”
• Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (2019, neutral): “[44] presented survey on edge computing.”
• Edge-computing-driven Internet of Things: A Survey (2022, neutral): “Edge computing is characterized as high bandwidth, ultra-low latency, and real-time access to network information [86, 150].”
• A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges (2022, background): “Edge computing, in contrast, brings these computation services closer to the end users (UAVs) at the edge of the network such that data does not need to travel large distances to remote centralized servers [7].”
• A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “[25], [26] - MEC concepts, applications, architectures, and open research challenges.”