Fog Computing: Focusing on Mobile Users at the Edge

By Tom H. Luan, Longxiang Gao, Zhi Li, Yang Xiang, Limin Sun. arXiv.org, 2015

481 citations recorded by the source corpus.

With smart devices, particular smartphones, becoming our everyday companions, the ubiquitous mobile Internet and computing applications pervade people daily lives. With the surge demand on high-quality mobile services at anywhere, how to address the ubiquitous user demand and accommodate the explosive growth of mobile traffics is the key issue of the next generation mobile networks. The Fog computing is a promising solution towards this goal. Fog computing extends cloud computing by providing virtualized resources and engaged location-based services to the edge of the mobile networks so as to better serve mobile traffics. Therefore, Fog computing is a lubricant of the combination of cloud computing and mobile applications. In this article, we outline the main features of Fog computing and describe its concept, architecture and design goals. Lastly, we discuss some of the future research issues from the networking perspective.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/44ee9fc0d49b5c99f6a4a9a55c83e1eb1c7b9880

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In Computer Networks and Communications

Citations in the corpus

The Future of Healthcare Internet of Things: A Survey of Emerging Technologies (2020, background): “These are usually at a single hop distance from the sensor nodes [139].”
Computation Offloading Toward Edge Computing (2019, background): “” Coinciding with some similar concepts such as “fog computing” [15]–[17] or “mist computing” [18], edge computing pushes the computing from the centralized cloud to decentralized edges, close to the data source (e.”
Optimal Workload Allocation in Fog-Cloud Computing Toward Balanced Delay and Power Consumption (2016, methodology): “From this perspective, we showcase some specific use cases of fog-cloud computing [17], [18].”
How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions (2017, background): “In addition to the mobility support, Fog can explore user application demands and provide localized services accordingly [92].”
Fog Computing and the Internet of Things: A Review (2018, background): “If the communication efﬁciency is increased, the performance of the entire system will be improved [53].”
A Review of Machine Learning and IoT in Smart Transportation (2019, unknown): “The solution came with the introduction of the “Fog nodes” [6].”
Fog computing security: a review of current applications and security solutions (2017, background): “Other similar implementations have been proposed in [6, 68], where either Fog devices are connected centrally with SDNC and Cloud or interconnected with each other in a Machineto-Machine manner.”
From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, methodology): “[16] described fog as a surrogate of cloud that can be used to deliver location-based service application to mobile device users (e.”
Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers (2018, background): “[28] highlighted main features of fog computing includng its concept, architecture, and design goals.”
Mobile Edge Computing: A Survey (2018, methodology): “Therefore, the infrastructure is derived as a three-layer hierarchy—the cloud, MEC, and mobile devices [35].”
Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm (2017, background): “The importance, applicability, need and challenges have been addressed by authors in [12], [13] at a preliminary level.”
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions (2018, background): “From our review, we found that researchers have proposed three [27], [56]–[58], four [55], five [4], and six [54] layers in the Fog architecture.”
Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures (2016, background): “1 is fundamentally different from that of the original fog computing paradigm [10]–[14].”
Challenges and Opportunities in Edge Computing (2016, background): “Hence, there has been a need for looking ‘beyond the clouds’ towards the edge of the network as shown in Figure 1, referred to as edge computing [3], [4], but also known as fog computing [5], [6] or cloudlet computing [7], [8].”
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions (2018, background): “Smart Traffic Lights [57]: At a crossroads, a fog node detects the flashing lights of an ambulance or a police car using video cameras and automatically changes traffic lights to open the lines for fast driving through.”