A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Filters
QoS-Aware Placement of Tasks on a Fog Cluster in an Edge Computing Environment
2020
Journal of Ubiquitous Systems and Pervasive Networks
Our simulations show that it is possible to maintain low application latency and distribute the load between the fog nodes of the cluster by using simple scheduling strategies. ...
The wide deployment of IoT sensors and devices has resulted in the development of smart services that were not possible before. ...
Acknowledgements This work is supported by the UAEU Program for Advanced Research Grant N. G00003443. ...
doi:10.5383/juspn.13.01.002
fatcat:qeuep5eiefdplpz6vtlhyvluci
An Architecture for QoS-Aware Fog Service Provisioning
2020
Procedia Computer Science
Given the growing deployments of fog nodes, we propose in this paper an architecture for quality of service (QoS) aware fog service provisioning, which allows to schedule the execution of IoT applications ...
Given the growing deployments of fog nodes, we propose in this paper an architecture for quality of service (QoS) aware fog service provisioning, which allows to schedule the execution of IoT applications ...
Load balancing policies can be implemented in each fog node to balance the load between the virtual machines on the node. ...
doi:10.1016/j.procs.2020.03.083
fatcat:rdbqkzw73vairm4bt3reqrzt7a
Load balancing mechanisms in fog computing: A systematic review
[article]
2020
arXiv
pre-print
This article reviews the load-balancing mechanisms systematically in fog computing in four classifications, including approximate, exact, fundamental, and hybrid methods (published between 2013 and August ...
Also, this article investigates load balancing metrics with all advantages and disadvantages related to chosen load balancing mechanisms in fog networks. ...
Also, based on fog network, Wan, et al. [44] suggested an energy-aware load balancing and scheduling approach. ...
arXiv:2011.14706v2
fatcat:tk24shjbqzai3drlrhctxkjjw4
Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges
2019
Sensors
With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. ...
In the second half, we focus on fog computing, providing solutions to critical challenges and as an enabler for IIoT application domains. ...
This distribution of load is called load balancing. Load Balancing in combination with fog computing makes a formidable combination. ...
doi:10.3390/s19214807
pmid:31694254
pmcid:PMC6864669
fatcat:xdiwmkpkkrheni4chxi7kbuc6m
Fog Computing Model to Orchestrate the Consumption and Production of Energy in Microgrids
2019
Sensors
Microgrids address these challenges using sensing technologies and Fog-Cloudcomputing infrastructures for building smart electrical grids. ...
Energy advancement and innovation have generated several challenges for large modernized cities, such as the increase in energy demand, causing the appearance of the small power grid with a local source ...
Acknowledgments: The authors thank FAPESB, FAPEMIG, CAPES, CNPq, and the partnership MCTIC-UFBA-(Ministry of Science, Technology, Innovation and Communication of Brazil) for the financial support through ...
doi:10.3390/s19112642
fatcat:binuam4nmrh7hiq3wdrsv5dnkm
A Criticality-Aware Dynamic Task Scheduling Mechanism for Efficient Resource Load Balancing in Constrained Smart Manufacturing Environment
2022
IEEE Access
This paper presents an enhanced learning to task scheduling mechanism based on task Criticality and Collapse Aware Scheduling algorithm (CCAS) for efficient resource load-balancing and task management ...
in smart factory. ...
[46] Jiafu Wan, Baotong Chen, Shiyong Wang, Min Xia, Di Li, and Chengliang 904 Liu.Fog computing for energy-aware load balancing and scheduling in 905 smart factory.IEEE Transactions on Industrial Informatics ...
doi:10.1109/access.2022.3173157
fatcat:lt6boxdy6nfupoewtnzfmblka4
A Survey on Various Methods and Algorithms of Scheduling in Fog Computing
2021
Ingénierie des Systèmes d'Information
In this paper, we review various recent studies available in the literature that are interested in the scheduling methods and algorithms used in Fog computing. ...
Therefore, to help practitioners and researchers, we present an in-depth overview of Fog Computing studying various scheduling methods and algorithms. ...
The authors proposed an energy-aware load balancing and scheduling method called (ELBS). ...
doi:10.18280/isi.260208
fatcat:begusnblwbci3e722kxjcgb2ke
Workflow Scheduling and Offloading for Service-based Applications in Hybrid Fog-Cloud Computing
2021
International Journal of Advanced Computer Science and Applications
loads, response times, energy consumption and costs. ...
An extensive investigation of application intensities and cloud, fog, and edge system sizes reveals that significant benefits can be accrued from the use of fog and edge computing in terms of low network ...
ACKNOWLEDGMENT The author gratefully acknowledges the approval and the support of this research from the Deanship of Scientific Research study by the grant no CIT-2019-1-10-F-8452, Northern Border University ...
doi:10.14569/ijacsa.2021.0121290
fatcat:pmhddwaqfffuhmloysuzn3ljj4
Towards Fast Response, Reduced Processing and Balanced Load in Fog-Based Data-Driven Smart Grid
2018
Energies
The integration of the smart grid with the cloud computing environment promises to develop an improved energy-management system for utility and consumers. ...
The load-balancing algorithm, a hybrid of Particle Swarm Optimization and Simulated Annealing (PSO-SA), is proposed for the efficient allocation of requests on VMs in the potential data center. ...
Funding: The present research has been conducted by the Research Grant of Kwangwoon University in 2018.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/en11123345
fatcat:ph7vhyugmncebfqhs2hosfwzti
Fog Computing: A Primer
2017
International Journal of Advanced Research in Computer Science and Software Engineering
Fog computing (FC) was proposed in 2012 by Cisco as the ideal computing model for providing real-time computing services and storage to support the resource-constrained Internet of Things (IoT) devices ...
This paper provides a brief introduction of fog computing. ...
Energy load balancing applications may run on network edge devices (e.g., smart meters, micro-grids) that automatically switch to alternative energies. ...
doi:10.23956/ijarcsse.v7i7.165
fatcat:rdfn3unwybbmtlzq57rort3icy
Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System
2021
Sensors
The research develops a new, cost-effective and stable IoMT framework based on a blockchain-enabled fog cloud. ...
Smart-Contract Blockchain schemes ensure data consistency and validation with symmetric cryptography. ...
Therefore, it cannot be made publicly available for other researchers.
Conflicts of Interest: The authors declare that there is no conflict of interest. ...
doi:10.3390/s21124093
fatcat:r3736cxjgbfwzdffkh5sbe27f4
Fog Computing for Realizing Smart Neighborhoods in Smart Grids
2020
Computers
The challenges in the integration of Fog Computing and smart grids are also discussed. ...
There is a need for ultra-low latency, reliable service along with security and privacy. Fog Computing is a promising solution to overcome these challenges. ...
For load balancing in Fog networks along with considering energy efficiency, Singh et al. [36] discuss various load balancing algorithms and perform their comparative analysis. ...
doi:10.3390/computers9030076
doaj:56a1bb6fa6584ded977208dc1be1f513
fatcat:tbs4p5paczam3bfoqkcpi7zwyy
A Survey from Real-Time to Near Real-Time Applications in Fog Computing Environments
2021
Telecom
In this article, we present a comprehensive survey on time-sensitive applications implemented in fog computing environments. ...
The goal is to research what applications are being implemented in fog computing architectures and how the temporal requirements of these applications are being addressed. ...
Load-balancing of computing resources in vehicular fog computing. ...
doi:10.3390/telecom2040028
fatcat:wb3s6sjwwzhpjios7x5diotcfu
Adaptive Computing Optimization in Software-Defined Network-Based Industrial Internet of Things with Fog Computing
2018
Sensors
In recent years, cloud computing and fog computing have appeared one after the other, as promising technologies for augmenting the computing capability of devices locally. ...
(2) In the fog computing mode, what is the execution sequence for the tasks cached in a task queue? ...
An energy-aware load balancing and scheduling method is proposed based on fog computing. ...
doi:10.3390/s18082509
pmid:30071654
fatcat:hjbvn5baf5cbdjy2ga2lrqwmme
Task Scheduling Based on a Hybrid Heuristic Algorithm for Smart Production Line with Fog Computing
2019
Sensors
Fog computing provides computation, storage and network services for smart manufacturing. ...
In this setting, a new problem has appeared, that is, determining how to perform task scheduling among the different fog nodes to minimize the delay and energy consumption as well as improve the smart ...
[34] designed a fog computing-assisted smart manufacturing system, and a Software-Defined IIoT system architecture based on fog computing was set up in a smart factory. ...
doi:10.3390/s19051023
fatcat:eqa5ckivzzdgvhcvyjiabfd6hu
« Previous
Showing results 1 — 15 out of 619 results