Book ChapterDOI
A Markov Chain Based Framework for Analysis of Hierarchical Fog Computing Networks
Niyas K. Haneefa,S. Pramod,Shagnik Pal,R. Manivasakan +3 more
- pp 41-52
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TLDR
This work model a hierarchical fog architecture using Markov chain analysis and compare it with a flat fog architecture by investigating the different performance measures analytically and by simulation.Abstract:
Next-generation wireless networks are envisaged to provide end-users ubiquitous low-latency computing services using devices at the network edge and machines before reaching the core cloud network. The crucial concepts of driving this technology are to offload computationally intensive tasks from users to edge or fog devices. The mobile edge network consists of an access point (AP), Radio Access Network (RAN), devices, edge servers, fog servers and finally the core cloud network. Given that fog computing is an emerging technology, it is imperative to study the performance of such systems analytically. Though there are many papers on performance analysis, many of them provide heuristic, ad-hoc solutions or pose it as optimization problems. In this work, we model a hierarchical fog architecture using Markov chain analysis and compare it with a flat fog architecture by investigating the different performance measures analytically and by simulation.read more
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Journal ArticleDOI
Modeling and Simulation Tools for Fog Computing—A Comprehensive Survey from a Cost Perspective
TL;DR: This work provides a comprehensive literature review along two axes—modeling with an emphasis in the proposed fog computing architectures and simulation which investigates the simulation tools which can be used to develop and evaluate novel fog-related ideas.
Journal ArticleDOI
Analytical models for availability evaluation of edge and fog computing nodes
TL;DR: These models aim at supporting engineers and analysts to plan fault-tolerant edge and fog environments and show that they can improve the availability from 2.96 number of nines to 5.93, by using the analytical models to plan the infrastructure.
References
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Journal ArticleDOI
Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs
TL;DR: In this article, a tractable analytical framework for the coverage and rate analysis is derived for the deployment of an unmanned aerial vehicle (UAV) as a flying base station used to provide the fly wireless communications to a given geographical area is analyzed.
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Toward Massive Machine Type Cellular Communications
TL;DR: The potential of 4.5G and 5G networks to serve both the high data rate needs of conventional human-type communication subscribers and the forecasted billions of new MTC devices is focused on.
Journal ArticleDOI
Industrial IoT Data Scheduling Based on Hierarchical Fog Computing: A Key for Enabling Smart Factory
TL;DR: A hierarchical fog servers’ deployment at the network service layer across different tiers is proposed, and the efficiency of the proposed hierarchical fog computing compared with the conventional flat architecture is proved.
Journal ArticleDOI
Learning How to Communicate in the Internet of Things: Finite Resources and Heterogeneity
TL;DR: In this article, a number of emerging learning frameworks suitable for IoT applications are presented, in particular, the advantages, limitations, IoT applications, and key results pertaining to machine learning, sequential learning, and reinforcement learning are studied.
Posted Content
Learning How to Communicate in the Internet of Things: Finite Resources and Heterogeneity
TL;DR: A number of emerging learning frameworks suitable for IoT applications are presented and the different resource capabilities of IoT devices are mapped to different levels of rationality in cognitive hierarchy theory, thus enabling the IoT devices to use different learning frameworks depending on their available resources.