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An Improved Resource Utilization System for Fog Computing Environment

Himani Nassa1 , Jitender Kumar2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-6 , Page no. 395-400, Jun-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i6.395400

Online published on Jun 30, 2019

Copyright © Himani Nassa, Jitender Kumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Himani Nassa, Jitender Kumar, “An Improved Resource Utilization System for Fog Computing Environment,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.395-400, 2019.

MLA Style Citation: Himani Nassa, Jitender Kumar "An Improved Resource Utilization System for Fog Computing Environment." International Journal of Computer Sciences and Engineering 7.6 (2019): 395-400.

APA Style Citation: Himani Nassa, Jitender Kumar, (2019). An Improved Resource Utilization System for Fog Computing Environment. International Journal of Computer Sciences and Engineering, 7(6), 395-400.

BibTex Style Citation:
@article{Nassa_2019,
author = {Himani Nassa, Jitender Kumar},
title = {An Improved Resource Utilization System for Fog Computing Environment},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {395-400},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4563},
doi = {https://doi.org/10.26438/ijcse/v7i6.395400}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.395400}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4563
TI - An Improved Resource Utilization System for Fog Computing Environment
T2 - International Journal of Computer Sciences and Engineering
AU - Himani Nassa, Jitender Kumar
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 395-400
IS - 6
VL - 7
SN - 2347-2693
ER -

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Abstract

Fog computing has expanded the horizons of cloud computing services near to the users. Firstly the IoT devices were used exclusively VMs but this results in high energy consumption. At the cloud layer the problem of resource utilization has been practised. But at the Fog layer the problem of Overutilization and Underutilization of resources occur. So, to overcome this problem we are designing a model for resource utilization that achieves best result for both service provider and end users. The current system incorporates an adaptive way for the utilization of resources at the cloud layer. But at the Fog layer the adaptive way of cloud layer are not being practised. The Fog layer allows pre-processing of requests but have limited resources. In order to overcome this problem, this paper, proposes a mechanism for improving the resource utilization at fog computing layer. Our proposed model is not only beneficial for the fog service providers in terms of good resource utilization but also equally beneficial for the fog service users in terms of good response time.

Key-Words / Index Term

Fog Computing, Internet of things (IoT), Virtual Machine (VM), Quality of Service (QoS), Data Centers (DC)

References

[1] Xu et al. “Dynamic resource allocation for load balancing in fog environment,” Vol. 2018.
[2] Deyu Qi et al. “A threshold-based dynamic resource allocation scheme for cloud computing,”pp.695-703, 2011.
[3] Vadde Usha , Dr. Vijaya Sri Kompalli ,”survey of resource management techniques in fog computing,” pp. 3761-3765,2018.
[4] P. Hu, S. Dhelim, H. Ning, and T. Qiu, “Survey on fog computing: architecture, key technologies, applications and open issues,” vol. 98, pp. 27–42, 2017.
[5] P.Jue et al. “Fog Computing: Towards Minimizing Delay in the Internet of Things,”2017.
[6] Buyya et al. “latency-aware application module management for fog computing environments,” article 9 November 2018.
[7] Turuk et al. “Mathematical Modeling of QoS-Aware Fog Computing Architecture for IoT Services,” pp.13-21, 2019.
[8] A. Khakimov, A. Muthanna, M. Muthanna,” Study of Fog Computing Structure,” pp.51-54, 2018.
[9] Z. Patrikakis et al. “A Cooperative Fog Approach for Effective Workload Balancing,”pp.36-45, 2017.
[10] O. Salman, I. Elhajj, A. Kayssi and A. Chehab “Edge computing enabling the Internet of Things,” pp. 603-608, 2015.
[11] M. Aazam and E. N. Huh, “Dynamic resource provisioning through Fog micro datacenter,” 2015.
[12] C. Prazeres, M. Serrano, “SOFT-IoT: Self-Organizing FOG of Things,” 2016.
[13] Hua-Jun Hong,” From Cloud Computing to Fog Computing: Unleash the Power of Edge and End Devices,” pp.331-334, 2017.
[14] Yung-Chiao Chen, Yao-Chung Chang,” Cloud-Fog Computing for Information-Centric Internet-of-Things Applications,”pp.637-640, 2017.
[15] Samson Busuyi Akintoye,Antoine Bagula,” Improving Quality-of-Service in Cloud/FogComputing through Efficient Resource Allocation ,”2019.
[16] Cheol-Ho Hong, Blesson Varghese,” Resource Management in Fog/Edge Computing: A Survey,”2018.
[17] Deeksha Arya, Mayank Dave,”Security-Based Service Broker Policy for Fog Computing Environment,”2017.
[18] R. Buyya et al. “Fog computing: Principles, architectures, and applications,” 2016.
[19] J. Kumar, A. Malik, SK. D hurandher ,” Demand-Based Computation Offloading Framework for Mobile Devices,”2017.