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A Novel Dynamic and Effective Resource Allocation in Cloud for Energy Efficiency and Computing

S.Mekala 1 , J.Jayanthi 2 , K.Shankar 3

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-02 , Page no. 372-374, Mar-2018

Online published on Mar 31, 2018

Copyright © S.Mekala, J.Jayanthi, K.Shankar . 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: S.Mekala, J.Jayanthi, K.Shankar, “A Novel Dynamic and Effective Resource Allocation in Cloud for Energy Efficiency and Computing,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.02, pp.372-374, 2018.

MLA Style Citation: S.Mekala, J.Jayanthi, K.Shankar "A Novel Dynamic and Effective Resource Allocation in Cloud for Energy Efficiency and Computing." International Journal of Computer Sciences and Engineering 06.02 (2018): 372-374.

APA Style Citation: S.Mekala, J.Jayanthi, K.Shankar, (2018). A Novel Dynamic and Effective Resource Allocation in Cloud for Energy Efficiency and Computing. International Journal of Computer Sciences and Engineering, 06(02), 372-374.

BibTex Style Citation:
@article{_2018,
author = {S.Mekala, J.Jayanthi, K.Shankar},
title = {A Novel Dynamic and Effective Resource Allocation in Cloud for Energy Efficiency and 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 = {372-374},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=268},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=268
TI - A Novel Dynamic and Effective Resource Allocation in Cloud for Energy Efficiency and Computing
T2 - International Journal of Computer Sciences and Engineering
AU - S.Mekala, J.Jayanthi, K.Shankar
PY - 2018
DA - 2018/03/31
PB - IJCSE, Indore, INDIA
SP - 372-374
IS - 02
VL - 06
SN - 2347-2693
ER -

           

Abstract

Cloud computing has become the defacto standard for communication for multiple applications in real world. This is becoming essential as mobile networks use clouds for application and data access but the problem remains for efficient resource utilization and energy use. The proposed model is JRP – Joint Resource Provisioning, which dynamically estimates jobs and switches on only the servers required and complete the jobs thereby saving the energy costs in a significant manner.

Key-Words / Index Term

Resource Provisioning, Energy Savings , Cloud Computing, Allocation, Resource Pooling

References

[1] A. Checko, H. L. Christiansen, Y. Yan, L. Scolari, G. Kardaras, M. S.Berger, and L. Dittmann, “Cloud RAN for mobile networks – a technology overview,” IEEE Commun. Surveys Tut., vol. 17, no. 1, pp. 405–426, First Quarter 2015.
[2] M. Peng, Y. Sun, X. Li, Z. Mao, and C. Wang, “Recent advances in cloud radio access networks: System architectures, key techniques, and open issues,” IEEE Commun. Surveys Tut., vol. 18, no. 3, pp. 2282–2308, Third Quarter 2016.
[3] P. Rost, C. J. Bernardos, A. D. Domenico, M. D. Girolamo, M. Lalam, A. Maeder, D. Sabella, and D. WÃijbben, “Cloud technologies for flexible 5G radio access networks,” IEEE Commun. Mag., vol. 52, no. 5, pp. 68–76, May 2014.
[4] N. Saxena, A. Roy, and H. Kim, “Traffic-aware cloud RAN: A key for green 5G networks,” IEEE J. Sel. Areas Commun., vol. 34, no. 4, pp. 1010–1021, Apr. 2016.
[5] T. Werthmann, H. Grob-Lipski, and M. Proebster, “Multiplexing gains achieved in pools of baseband computation units in 4G cellular networks,” in Proc. IEEE PIMRC ’13, Sep. 2013, pp. 3328–3333.
[6] D. Wubben, P. Rost, J. S. Bartelt, M. Lalam, V. Savin, M. Gorgoglione, A. Dekorsy, and G. Fettweis, “Benefits and impact of cloud computing on 5G signal processing: Flexible centralization through cloud-RAN,” IEEE Signal Process. Mag., vol. 31, no. 6, pp. 35–44, Nov. 2014.
[7] D. Pompili, A. Hajisami, and H. Viswanathan, “Dynamic provisioning and allocation in cloud radio access networks (C-RANs),” Ad Hoc Netw., vol. 30, pp. 128–143, 2015.
[8] Y. Shi, J. Zhang, and K. B. Letaief, “Group sparse beamforming for green Cloud-RAN,” IEEE Trans. Wireless Commun., vol. 13, no. 5, pp. 2809–2823, May 2014.
[9] Y. Shi, J. Zhang, K. B. Letaief, B. Bai, and W. Chen, “Large-scale convex optimization for ultra-dense Cloud-RAN,” IEEE Wireless Commun., vol. 22, no. 3, pp. 84–91, Jun. 2015.
[10] M. Qian, W. Hardjawana, J. Shi, and B. Vucetic, “Baseband processing units virtualization for cloud radio access networks,” IEEE Wireless Commun. Lett., vol. 4, no. 2, pp. 189–192, April 2015.
[11] X. Wang, S. Thota, M. Tornatore, H. S. Chung, H. H. Lee, S. Park, and B. Mukherjee, “Energy-efficient virtual base station formation in optical-access-enabled Cloud-RAN,” IEEE J. Sel. Areas Commun., vol. 34, no. 5, pp. 1130–1139, May 2016.
[12] J. Tang, W. P. Tay, and T. Q. S. Quek, “Cross-layer resource allocation with elastic service scaling in cloud radio access network,” IEEE Trans. Wireless Commun., vol. 14, no. 9, pp. 5068–5081, Sep. 2015.
[13] Y. Lin, L. Shao, Z. Zhu, Q. Wang, and R. K. Sabhikhi, “Wireless network cloud: Architecture and system requirements,” IBM J. Res. Develop., vol. 54, no. 1, pp. 4:1–4:12, Jan. 2010.
[14] China Mobile, “C-RAN: the road towards green RAN,” White Paper, Dec. 2011.
[15] S. Bhaumik, S. P. Chandrabose, M. K. Jataprolu, G. Kumar, A. Muralidhar, P. Polakos, V. Srinivasan, and T. Woo, “CloudIQ: A framework for processing base stations in a data center,” in Proc. ACM MobiCom ’12. New York, NY, USA: ACM, 2012, pp. 125–136.
[16] K. Sundaresan, M. Y. Arslan, S. Singh, S. Rangarajan, and S. V. Krishnamurthy, “FluidNet: A flexible cloud-based radio access network for small cells,” IEEE/ACM Trans. Netw., vol. 24, no. 2, pp. 915–928, Apr. 2016.
[17] D. Pompili, A. Hajisami, and T. X. Tran, “Elastic resource utilization framework for high capacity and energy efficiency in cloud RAN,” IEEE Commun. Mag., vol. 54, no. 1, pp. 26–32, Jan. 2016.
[18] M. Peng, K. Zhang, J. Jiang, J. Wang, and W. Wang, “Energyefficient resource assignment and power allocation in heterogeneous cloud radio access networks,” IEEE Trans. Veh. Technol.,
vol. 64, no. 11, pp. 5275–5287, Nov. 2015.
[19] K. Guo, M. Sheng, J. Tang, T. Q. Quek, X. Wang, and Z. Qiu, “Cooperative transmission meets computation provisioning in downlink C-RAN,” in Proc. IEEE ICC ’16, 2016.
[20] N. Yu, Z. Song, H. Du, H. Huang, and X. Jia, “Multi-resource allocation in cloud radio access networks,” in Proc. IEEE ICC’17, 2017