Open Access   Article Go Back

Towards Efficient Resource Allocation for Distributed Networks in Cloud Computing

P. Nithya L. Jayasimman1

Section:Review Paper, Product Type: Journal Paper
Volume-06 , Issue-02 , Page no. 172-177, Mar-2018

Online published on Mar 31, 2018

Copyright © P. Nithya L. Jayasimman . 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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: P. Nithya L. Jayasimman, “Towards Efficient Resource Allocation for Distributed Networks in Cloud Computing,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.02, pp.172-177, 2018.

MLA Style Citation: P. Nithya L. Jayasimman "Towards Efficient Resource Allocation for Distributed Networks in Cloud Computing." International Journal of Computer Sciences and Engineering 06.02 (2018): 172-177.

APA Style Citation: P. Nithya L. Jayasimman, (2018). Towards Efficient Resource Allocation for Distributed Networks in Cloud Computing. International Journal of Computer Sciences and Engineering, 06(02), 172-177.

BibTex Style Citation:
@article{Jayasimman_2018,
author = {P. Nithya L. Jayasimman},
title = {Towards Efficient Resource Allocation for Distributed Networks in Cloud Computing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2018},
volume = {06},
Issue = {02},
month = {3},
year = {2018},
issn = {2347-2693},
pages = {172-177},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=227},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=227
TI - Towards Efficient Resource Allocation for Distributed Networks in Cloud Computing
T2 - International Journal of Computer Sciences and Engineering
AU - P. Nithya L. Jayasimman
PY - 2018
DA - 2018/03/31
PB - IJCSE, Indore, INDIA
SP - 172-177
IS - 02
VL - 06
SN - 2347-2693
ER -

           

Abstract

Cloud computing is a dispensed computing version which allows customers to lease sources from the cloud issuer. In a cloud environment, more than one cloud users request is based at the on-demand resource provisioning with a pay-consistent with-utilization price model. Hence it`s far supported by infrastructure called net records center. Resource allocation technique is complicated issues in cloud computing using multiple resources. The resource allocation mainly affected on cloud server and increase the response time and delay also. To propose a singular structure and two algorithms for unified spatial and temporal resource allocation and optimal resource scheduling algorithm. Rigorous evaluation shows that our algorithms have a low computational complexity, require a at ease accuracy in electricity charge estimation, and guarantee a provider final touch time for person requests. The proposed spatial-temporal resource allocation technique drastically reduces power value for dispensed IDCs.

Key-Words / Index Term

Cloud, Resource allocation, Servers, Nodes, Resources, Cloud, optimal resource scheduling algorithm, Servers, Nodes, Resources

References

[1] M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia, “A view of cloud computing,” Commun. ACM, vol. 53, pp. 50–58, April 2010.
[2] Zhang Youhui, Qu Peng, Jiang Cihang, and Zheng Weimin, “A Cloud Gaming System Based on User-level Virtualization and Its Resource Scheduling”, IEEE Transactions on Parallel and Distributed Systems, Volume 27, No 5, May 2016
[3] Peyman Teymoori, Khosrow Sohraby, and Kiseon Kim, “A Fair and Efficient Resource Allocation Scheme for Multi-Server Distributed Systems and Networks”, IEEE Transactions on Mobile Computing, Volume 15, No 9, September 2016
[4] Anitya Kumar Gupta, Srishti Gupta, "Security Issues in Big Data with Cloud Computing", International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.6, pp.27-32, 2017
[5] Shuangcheng Niu, Jidong Zhai, Xiaosong Ma, Xiongchao Tang, Wenguang Chen, Weimin Zheng, “Building Semi-Elastic Virtual Clusters for Cost-Effective HPC Cloud Resource Provisioning “,IEEE Transactions on Parallel and Distributed Systems, Volume 27, No 7, July 2016
[6] Sheng Zhang, Zhuzhong Qian, Zhaoyi Luo, Jie Wu, Sanglu Lu, “Burstiness-Aware Resource Reservation for Server Consolidation in Computing Clouds”,Volume 27, No 4, April 2016
[7] J. Hamilton, “Cooperative expendable micro-slice servers (cems): Low cost, low power servers for internet-scale services,” Jan. 2009.
[8] K. Le, R. Bianchini, T. Nguyen, O. Bilgir, and M. Martonosi, “Capping the brown energy consumption of internet services at low cost,” in Green Computing Conference, 2010 International, aug. 2010, pp. 3 –14.
[9] Mohammad Aazam, Eui-Nam Huh, Marc St-Hilaire, Chung-Horng Lung, Ioannis Lambadaris,” Cloud Customer’s Historical Record Based Resource Pricing”, IEEE Transactions on Parallel and Distributed Systems, Volume 27, No 7, July 2016
[10] Dan Li, Congjie Chen, Junjie Guan, Ying Zhang, Jing Zhu, “DCloud: Deadline-aware Resource Allocation for Cloud Computing Jobs “,IEEE Transactions on Parallel and Distributed Systems, Volume 27, No 8, August 2016
[11] S.L.Mewada, U.K. Singh, P. Sharma, "Security Enhancement in Cloud Computing (CC)", International Journal of Scientific Research in Computer Science and Engineering, Vol.1, Issue.1, pp.31-37, 2013
[12] Xiaolong Xu, Wanchun Dou, Xuyun Zhang, and Jinjun Chen, “EnReal: An Energy-Aware Resource Allocation Method for Scientific Workflow Executions in Cloud Environment “,IEEE Transactions on Cloud computing, Volume 4,No 2, April-June 2016
[13] Jiyan Wu, Chau Yuen, Bo Cheng, Yanlei Shang, and Junliang Chen,” Good put-Aware Load Distribution for Real-time Traffic over Multipath Networks”, IEEE Transactions on Parallel and Distributed Systems, Volume 26, No 8, August 2016
[14] R.Piplode, P. Sharma and U.K. Singh, "Study of Threats, Risk and Challenges in Cloud Computing", International Journal of Scientific Research in Computer Science and Engineering, Vol.1, Issue.1, pp.26-30, 2013
[15] Guangyan Zhang, Jigang Wang, Keqin Li, Jiwu Shu,” Redistribute Data to Regain Load Balance during RAID-4 Scaling”, IEEE Transactions on Parallel and Distributed Systems, Volume 26, No 1, January 2016
[16] Andreas Wolke, Martin Bichler, Thomas Setzer, “Planning vs. dynamic control: Resource allocation in corporate clouds”, IEEE Transactions on Cloud Computing, Volume 4, No 3, July-Sept 2016
[17] Anitha H M, P. Jayarekha , "Security Challenges of Virtualization in Cloud Environment", International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.1, pp.37-43, 2018
[18] Rui Zhang, Kui Wu, Jianping Wang,” Online Resource Scheduling under Concave Pricing for Cloud Computing”, International symposium of Quality of service 2014.
[19] Sakshi kathuria, "A Survey on Security Provided by Multi-Clouds in Cloud Computing", International Journal of Scientific Research in Network Security and Communication, Vol.6, Issue.1, pp.23-27, 2018.