Improving Fog Computing Performance via Fog-2-Fog Collaboration
Mohammed Al-Khafajiy,Thar Baker,Hilal Al-Libawy,Zakaria Maamar,Moayad Aloqaily,Yaser Jararweh +5 more
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TLDR
A new F 2 F and FRAMES collaboration model is proposed that promotes offloading incoming requests among fog nodes, according to their load and processing capabilities, via a novel load balancing known as Fog Resource manAgeMEnt Scheme (FRAMES).About:
This article is published in Future Generation Computer Systems.The article was published on 2019-05-14 and is currently open access. It has received 97 citations till now. The article focuses on the topics: Load balancing (computing).read more
Citations
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Load balancing of energy cloud using wind driven and firefly algorithms in internet of everything
R. M. Swarna Priya,Sweta Bhattacharya,Praveen Kumar Reddy Maddikunta,Siva Rama Krishnan Somayaji,Kuruva Lakshmanna,Rajesh Kaluri,Aseel Hussien,Thippa Reddy Gadekallu +7 more
TL;DR: Energy Efficient Cloud Based Internet of Everything (EECloudIoE) architecture is proposed in this study, which acts as an initial step in integrating these two wide areas thereby providing valuable services to the end users.
Journal ArticleDOI
COMITMENT: a fog computing trust management approach
Mohammed Al-Khafajiy,Thar Baker,Muhammad Asim,Zehua Guo,Rajiv Ranjan,Antonella Longo,Deepak Puthal,Mark Taylor +7 more
TL;DR: A fog COMputIng Trust manageMENT (COMITMENT) approach that uses quality of service and quality of protection history measures from previous direct and indirect fog node interactions for assessing and managing the trust level of the nodes within the fog computing environment is presented.
Journal ArticleDOI
A new energy-aware tasks scheduling approach in fog computing using hybrid meta-heuristic algorithm
TL;DR: In this study, an energy-aware method is introduced by using the Dynamic Voltage and Frequency Scaling (DVFS) technique to reduce energy consumption and a hybrid Invasive Weed Optimization and Culture (IWO-CA) evolutionary algorithm is applied.
Journal ArticleDOI
MAFC: Multi-Agent Fog Computing Model for Healthcare Critical Tasks Management.
Ammar Awad Mutlag,Mohd Khanapi Abd Ghani,Mazin Abed Mohammed,Mashael S. Maashi,Othman Mohd,Salama A. Mostafa,Karrar Hameed Abdulkareem,Gonçalo Marques,Isabel de la Torre Díez +8 more
TL;DR: A multi-agent Fog Computing model for healthcare critical tasks management is suggested, mapping between three decision tables to optimize scheduling the critical tasks by assigning tasks with their priority, load in the network, and network resource availability.
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A Task Scheduling Algorithm With Improved Makespan Based on Prediction of Tasks Computation Time algorithm for Cloud Computing
TL;DR: A novel scheduling algorithm using Directed Acyclic Graph (DAG) based on the Prediction of Tasks Computation Time algorithm (PTCT) to estimate the preeminent scheduling algorithm for prominent cloud data is presented.
References
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Proceedings ArticleDOI
Fog computing and its role in the internet of things
TL;DR: This paper argues that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).
Journal ArticleDOI
Cloud computing: state-of-the-art and research challenges
Qi Zhang,Lu Cheng,Raouf Boutaba +2 more
TL;DR: A survey of cloud computing is presented, highlighting its key concepts, architectural principles, state-of-the-art implementation as well as research challenges to provide a better understanding of the design challenges of cloud Computing and identify important research directions in this increasingly important area.
Book ChapterDOI
Fog Computing and Its Role in the Internet of Things
TL;DR: This chapter argues that the above characteristics make the Fog the appropriate platform for a number of critical internet of things services and applications, namely connected vehicle, smart grid, smart cities, and in general, wireless sensors and actuators networks (WSANs).