Skip to main content
SpringerLink
Log in
Book cover

Nanoelectronics, Circuits and Communication Systems pp 313–321Cite as

Energy-Efficient Data Delivery in Green Cloud Networks

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 511))

Abstract

Nowadays due to the increase in the cloud computing services, the energy consumption has drawn huge focus in the high-performance computing research community. With increasing utilization of Cloud network infrastructure, the energy consumption has drastically increased to the cloud networks. This has become a critical issue. At the time of data delivery in the cloud, network components consume enormous amounts of energy and connecting to sky-scraping operational expenses and carbon footsteps to the environment. The energy problem in the cloud networks is the key difficulty of relation with network data delivery. Also, it is the main objective to be solved in the cloud computing networks design. The energy-efficient related work in cloud networks combines with characteristics of the network and analyzes the approach energy consumption. The energy-efficient strategies from the aspect of cloud networks node and cloud networks are discussed from the following aspects of data size, data delivery time, bandwidth size and the delivery path between clients to and the server. The aim is to achieve an energy-efficient proportional green cloud network to provide on-demand quality of services (QOS) with energy-efficient data delivery algorithm.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Buyya R (2013) Introduction to the IEEE transactions on cloud computing. IEEE Trans Cloud Comput 1(1), January–June 2013

    Google Scholar 

  2. Chiang Y-J, Ouyang Y-C, Hsu CHR (2015) An efficient green control algorithm in cloud computing for cost optimization. IEEE Trans Cloud Comput 3(2), April/June 2015

    Google Scholar 

  3. Beloglazov A, Abawajy J, Buyya R (2011) Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing 0167-739x/$ © 2011 Elsevier B.V. All Rights Reserved. https://doi.org/10.1016/j.future.2011.04.017

  4. Hassan MM, Kamruzzaman SM, Alamri A, Almogren A, Alelaiwi A, Alnuem M, Islam M, Razzaque A (2014) Design of an energy-efficient and reliable data delivery mechanism for mobile ad hoc networks: a cross-layer approach. Concurrency Comput Pract Experience Concurrency Comput Pract Exper (2014) Published Online in Wiley Online Library (wileyonlinelibrary.com). https://doi.org/10.1002/cpe.3309

  5. Cordeschi N, Amendola D, De Rango F, Baccarelli E (2014) Networking-computing resource allocation for hard real-time green cloud applications 978-1-4799-6606-6/14/$31.00 ©2014 IEEE

    Google Scholar 

  6. Xiong N, Han W, Vandenberg A (2011) Green cloud computing schemes based on networks: a survey. Published in IET communications received on 9th April 2011 revised on 19th July 2011. https://doi.org/10.1049/iet-com.2011.0293

  7. Muhammad A, Nasser N (2015) SLA-based optimization of energy efficiency for green cloud computing. 978-1-4799-5952-5/15/$31.00 ©2015 IEEE

    Google Scholar 

  8. Boru D, Kliazovich D, Granelli F, Bouvry P, Zomaya AY Energy-efficient data replication in cloud computing datacenters. Cluster Comput https://doi.org/10.1007/s10586-014-0404-x. Received: 18 Mar 2014. Revised: 4 July 2014. Accepted: 24 Sept 2014 © Springer Science + Business Media New York 2015

  9. Ardagna D, Casale G, Ciavotta M, Pérez JF, Wang W (2014) Quality-of-service in cloud computing: modeling techniques and their applications Ardagna et al. J Internet Serv Appl. http://www.jisajournal.com/content/5/1/11

  10. Garg SK, Versteeg S, Buyya R (2013) A framework for ranking of cloud computing services. Future Gener Comput Syst 29:1012–1023 (2013) © 2012 Elsevier B.V. All rights reserved. https://doi.org/10.1016/j.future.2012.06.006

  11. Huang T-C, Huang S-Y, Tang L (2010) AODV-based backup routing scheme in mobile ad hoc networks. In: Proceedings of the 2010 international conference on communications and mobile computing—vol 03, CMC’10. IEEE Computer Society, Washington, DC, USA, 2010, pp 254–258

    Google Scholar 

  12. Lee SJ, Gerla M (2001) Split multipath routing with maximally disjoint paths in ad hoc networks. In: IEEE international conference on communications (ICC), vol 10, Helsinki, Finland, pp 3201–3205

    Google Scholar 

  13. Ela Kumar RNR (2011) THR: a two-hop look ahead with packet buffering protocol for MANET. Int J Inf Technol Knowl Manag 4:109–112

    Google Scholar 

  14. Bright L, Raschid L (2002) Using latency-recency profiles for data delivery on the web. In: Proceedings of very large data bases

    Google Scholar 

  15. Cherniack M, Galvez E, Franklin M, Zdonik S (2003) Profile-driven cache management. In: Proceedings of 19th international conference on data engineering (ICDE)

    Google Scholar 

  16. Kim D, Jung J, Lee H, Yi Y (2015) Energy-efficient sensing data delivery for low power environmental sensors

    Google Scholar 

  17. Andres F, Boulos J The data delivery system. NACSIS R&D Center 3-29-1 Otsuka, Bunkyo-ku Tokyo//2 Japan member of IFATEC/Euriware, 12-14 rue du Fort de St-Cyr Montigny Le Bretonneux

    Google Scholar 

  18. Valentini GL, Khan SU, Bouvry P (2013) Energy-efficient resource utilization in cloud computing

    Google Scholar 

  19. Jain N, Choudhary S (2016) Overview of virtualization in cloud computing. Colossal Data Analysis and Networking (CDAN), https://doi.org/10.1109/cdan.2016.7570950 IEEE

  20. Franco Callegati Walter Cerroni Chiara Contoli Giuliano Santandrea Performance of Network Virtualization in cloud computing infrastructures: The OpenStack case. https://doi.org/10.1109/cloudnet.2014.6968981978-1-4799-2730-2

  21. Fabio Baroncelli Barbara Martini Piero Castoldi. Network virtualization for cloud computing. https://doi.org/10.1007/s12243-010-0194-y. Springer 0003-4347

  22. Chen T, Yang Y, Kim H, Horneman K (2011) Network energy saving technologies for green wireless access networks. 1536-1284/11/$25.00 © 2011 IEEE IEEE Wireless Communications, October 2011

    Google Scholar 

  23. More NS, Ingle RB (2017) Challenges in green computing for energy saving techniques. 978-1-5090-3404-8/17/$31.00 ©2017 IEEE

    Google Scholar 

  24. Sun X, Ansari N (2017) Green cloudlet network: a distributed green mobile cloud network. 0890-8044/17/$25.00 © 2017 IEEE IEEE Network, January/February 2017

    Google Scholar 

  25. Lin T, Alpcan T, Hinton K (2017) A game-theoretic analysis of energy efficiency and performance for cloud computing in communication networks. IEEE Syst J 11(2), June 2017

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India

    M. Karuppasamy & S. P. Balakannan

Authors
  1. M. Karuppasamy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. P. Balakannan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. P. Balakannan .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

    Vijay Nath

  2. Department of Computer Science and Engineering, University of Kalyani, Kalyani, India

    Jyotsna Kumar Mandal

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Karuppasamy, M., Balakannan, S.P. (2019). Energy-Efficient Data Delivery in Green Cloud Networks. In: Nath, V., Mandal, J. (eds) Nanoelectronics, Circuits and Communication Systems . Lecture Notes in Electrical Engineering, vol 511. Springer, Singapore. https://doi.org/10.1007/978-981-13-0776-8_29

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-0776-8_29

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0775-1

  • Online ISBN: 978-981-13-0776-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation