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Fog Computing: A Taxonomy, Survey and Future Directions

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TLDR
In this paper, the challenges in fog computing acting as an intermediate layer between IoT devices/sensors and cloud datacentres and review the current developments in this field are discussed.
Abstract
In recent years, the number of Internet of Things (IoT) devices/sensors has increased to a great extent. To support the computational demand of real-time latency-sensitive applications of largely geo-distributed IoT devices/sensors, a new computing paradigm named "Fog computing" has been introduced. Generally, Fog computing resides closer to the IoT devices/sensors and extends the Cloud-based computing, storage and networking facilities. In this chapter, we comprehensively analyse the challenges in Fogs acting as an intermediate layer between IoT devices/ sensors and Cloud datacentres and review the current developments in this field. We present a taxonomy of Fog computing according to the identified challenges and its key features.We also map the existing works to the taxonomy in order to identify current research gaps in the area of Fog computing. Moreover, based on the observations, we propose future directions for research.

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Journal ArticleDOI

All one needs to know about fog computing and related edge computing paradigms: A complete survey

TL;DR: This paper provides a tutorial on fog computing and its related computing paradigms, including their similarities and differences, and provides a taxonomy of research topics in fog computing.
Journal ArticleDOI

Survey on fog computing

TL;DR: Fog computing extends the cloud services to the edge of network, and makes computation, communication and storage closer to edge devices and end-users, which aims to enhance low-latency, mobility, network bandwidth, security and privacy.
Journal ArticleDOI

Applications of Blockchains in the Internet of Things: A Comprehensive Survey

TL;DR: This survey aims to shape a coherent and comprehensive picture of the current state-of-the-art efforts in this direction by starting with fundamental working principles of blockchains and how blockchain-based systems achieve the characteristics of decentralization, security, and auditability.
Journal ArticleDOI

Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges

TL;DR: This survey starts by providing an overview and fundamental of fog computing architecture, and provides an extensive overview of state-of-the-art network applications and major research aspects to design these networks.
Journal ArticleDOI

Computation Offloading and Resource Allocation in Mixed Fog/Cloud Computing Systems With Min-Max Fairness Guarantee

TL;DR: This paper tackles the computation offloading problem in a mixed fog/cloud system by jointly optimizing the offloading decisions and the allocation of computation resource, transmit power, and radio bandwidth while guaranteeing user fairness and maximum tolerable delay.
References
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Proceedings ArticleDOI

Combining Mobile and Fog Computing: Using CoAP to Link Mobile Device Clouds with Fog Computing

TL;DR: An alternative to the hierarchical view on fog-computing is presented by enabling device clouds to interact in a P2P fashion with smart device/sensors and resources in the mobile cloud in a uniform manner as RESful services.
Posted Content

User Access Mode Selection in Fog Computing Based Radio Access Networks

TL;DR: In this article, the authors derived the coverage probability and ergodic rate for both F-AP users and device-to-device users by taking into account the different nodes locations, cache sizes as well as user access modes.
Journal ArticleDOI

Maximizing quality of experience through context-aware mobile application scheduling in cloudlet infrastructure

TL;DR: This paper presents the first work in this domain that inscribes the optimal scheduling problem for mobile application software execution requests with three‐dimensional context parameters, and demonstrates that the QCASH outperforms the state‐of‐the‐art works well across the success rate, waiting time, and QoE.
Proceedings ArticleDOI

Improved throughput for Power Line Communication (PLC) for smart meters using fog computing based data aggregation approach

TL;DR: With this approach the amount of data sent to the centralized storage space is limited and, therefore, the capacity of PLC is virtually improved without compromising the functionality.
Proceedings ArticleDOI

User access mode selection in fog computing based radio access networks

TL;DR: In this paper, the authors derived the coverage probability and ergodic rate for both F-AP users and device-to-device users by taking into account the different nodes locations, cache sizes as well as user access modes.
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