Challenges and Opportunities in Edge Computing

By Blesson Varghese, Nan Wang, Sakil Barbhuiya, P. Kilpatrick, Dimitrios S. Nikolopoulos. International Conference on Smart Cloud, 2016

520 citations recorded by the source corpus.

Many cloud-based applications employ a data centers as a central server to process data that is generated by edge devices, such as smartphones, tablets and wearables. This model places ever increasing demands on communication and computational infrastructure with inevitable adverse effect on Quality-of-Service and Experience. The concept of Edge Computing is predicated on moving some of this computational load towards the edge of the network to harness computational capabilities that are currently untapped in edge nodes, such as base stations, routers and switches. This position paper considers the challenges and opportunities that arise out of this new direction in the computing landscape.

Subfields: Computer Networks and Communications, Information Systems, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/26e3fb9e76ad6f694c2940c25159593bacf2c4d0

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. Blesson Varghese
2. Cheol-Ho Hong
3. Yuichi Kawamoto
4. Nei Kato
5. Zubair Muhammad Fadlullah
6. Lei Shu
7. Mithun Mukherjee
8. Rajkumar Buyya

In Information Systems

1. Blesson Varghese
2. Cheol-Ho Hong
3. Rajkumar Buyya
4. Wei Yu
5. Peng Li
6. Mukesh Prasad
7. Nei Kato
8. Lei Shu

In Information Systems and Management

1. Rajkumar Buyya
2. Peng Li
3. Jia Yu
4. David Abramson
5. Marty A. Humphrey
6. Ming Mao

Citations in the corpus

• Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment (2018, background): “There are many papers that discuss the issues and challenges in EC [31]–[33], but there is no research which analyzes the performance of EC with respect to the highlighted challenges.”
• A Survey on the Edge Computing for the Internet of Things (2018, background): “In IoT, the first step is the discovery of edge nodes [93], meaning that, before the discovery process takes place, IoT devices do not know what kinds of platforms are deployed nearby.”
• Fog Computing: A Taxonomy, Survey and Future Directions (2016, methodology): “More precisely, Edge computing enables data processing at the edge network [6].”
• Next generation cloud computing: New trends and research directions (2017, background): “There are recent efforts to decentralise computing towards the edge of the network formaking computing possible closer to where user data is generated [12].”
• A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues (2017, background): “In addition, according to the work in [153], it is difficult to estimate whether these nodes are, indeed, capable of performing computations (i.”
• Resource Management in Fog/Edge Computing (2018, background): “However, this is not an easy task [179].”
• Survey on fog computing: architecture, key technologies, applications and open issues (2017, background): “In some paper, the fog computing is known as edge computing (Varghese et al., 2016).”
• Security and Privacy in Fog Computing: Challenges (2017, background): “To summary, Edge computing [11]–[13] is totally edgelocalized, however, fog computing extends the computing and communication resources towards edge of the network.”
• Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing (2017, methodology): “[15] B.”
• Computation Offloading Toward Edge Computing (2019, background): “3, it is a typical three-tier architecture, including the cloud, edge nodes, and edge devices [50].”