The Promise of Edge Computing

By Weisong Shi, Schahram Dustdar. Computer, 2016

1,093 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/cb35bfb81f1829ce5c3d384008108157003f7d43

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

In Information Systems

Citations in the corpus

How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions (2017, background): “offloading the task from an IoT device to an edge server is an energy efficient operation [52].”
Survey on Multi-Access Edge Computing for Internet of Things Realization (2018, neutral): “computing solutions like MEC [37], [48], [49].”
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices (2019, background): “Furthermore, there are many studies focusing on privacy-preserving crowdsourcing [36], [37], and leveraging fog computing or edge computing to improve the performance as they have gained popularity [38]–[43].”
Edge Computing with Artificial Intelligence: A Machine Learning Perspective (2022, background): “Considering the complicated driving environment of a vehicle, this method is actually very time-consuming, and it may even cause the smart vehicle to fail to make the right decision in a timely manner, resulting in serious consequences [3].”
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, background): “smartphone that operates between body sensors and the cloud) [256].”
Smart Transportation: An Overview of Technologies and Applications (2023, background): “A broad deﬁnition of edge is “Enabling technologies that enable computation to occur at the network edge so that computation occurs close to data sources” [26].”
Computer Science Review (neutral): “Edge computing offers a compelling solution by distributing resources closer to end-users [8], thereby enabling low-latency commu nication and efficient local processing which are crucial for meeting the stringent Quality of Service (QoS) requirements of these applications.”
Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues (2018, background): “Therefore, the traditional cloud computing cannot efficiently support the IoE-based application services [10], and the edge computing arises at the historic moment [11], [12] to adapt to the era of IoE.”
Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog (2019, methodology): “In this light, Edge computing made its way [2], with the idea of providing the power of the Cloud at the network edge, tackling most of the new challenges that Cloud computing alone cannot address, such as bandwidth, latency, and connectivity.”
Survey on fog computing: architecture, key technologies, applications and open issues (2017, background): “The similarities of edge computing and fog computing is summarized and shown in Table 2 (Shi et al., 2016; Shi and Dustdar, 2016; Pande et al., 2016; Dey and Mukherjee, 2016; Wang et al., 2017).”
Edge Computing in 5G: A Review (2019, background): “Edge computing fulfills the sub-millisecond requirement of 5G applications, and reduces energy consumption by around 30% to 40% [27], which attributes to up to five times lesser energy consumption as compared to accessing the cloud [28].”
A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure (2018, background): “The last (but not the least) related research area is edge computing service infrastructure [22], [23], [24], [25], [26].”
Fog computing security: a review of current applications and security solutions (2017, methodology): “The surveillance video processing can also be performed by using Edge computing and its potential in finding missing children [64].”
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, background): “Edge computing utilizes computing power at the edge/nodes of the networks, to completely or partly to store, manage, and process information/data locally [467]–[470].”
Computation Offloading Toward Edge Computing (2019, background): “Edge computing, which performs computing at the edge of the network, has created a great buzz in both the academia and the industry [11], [12], and it is now at the bleed edge of computing paradigms [13].”
Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System (2019, background): “Furthermore, the edge computing has gained popularity as IoT becomes increasingly ubiquitous [27]–[29], and the edge computing server’s high computational power can assist customers’ training locally.”