Causes of Energy Wastage in Cloud Data Centre Servers : A Survey

Authors

  • Kenga Mosoti Derdus  Faculty of Information Technology, Strathmore University, Nairobi, Kenya
  • Vincent Oteke Omwenga  Faculty of Information Technology, Strathmore University, Nairobi, Kenya
  • Patrick Job Ogao  Faculty of Engineering Science and Technology, Technical University of Kenya, Nairobi, Kenya

DOI:

https://doi.org//10.32628/CSEIT1953139

Keywords:

Cloud Computing, Datacenter, Data Centre Energy Wastage, Virtualization

Abstract

Datacenters are becoming the indispensable infrastructure for supporting the services offered by cloud computing. Unfortunately, datacenters consume a lot of energy, which currently stands at 3% of global electrical energy consumption. Consequently, cloud service providers (CSP) experience high operating costs (in terms of electricity bills), which is, in turn, passed to the cloud users. In addition, there is an increased emission of carbon dioxide to the environment. Before one embarks on addressing the problem of energy wastage in a datacenter, it is important to understand the causes of energy wastage in datacenter servers. In this paper, we elaborate on the concept of cloud computing and virtualization. Later, we present a survey of the main causes of energy wastage in datacenter servers as well as proposed solutions to address the problem.

References

  1. Rallo, "Industry Outlook: Data Center Energy Efficiency," 2014. [Online]. Available: http://www.datacenterjournal.com/industry-outlook-data-center-energy-efficiency/. [Accessed 4 August 2015].
  2. G. Albert, H. James, A. M. David and P. Parveen, "The cost of a cloud: research problems in data center networks," The ACM Digital Library is published by the Association for Computing Machinery, vol. 39, no. 1, 2009.
  3. F. P. Sareh, "Energy-Efficient Management of Resources in Enterprise and Container-based Clouds," The University of Melbourne , 2016.
  4. G. K. V. Rao and K. Premchand, "Scheduling Virtual Machines across Data Centres in accordance to availability of Renewable Sources of Energy," International Journal Of Engineering And Computer Science, vol. 5, no. 10, 2016.
  5. Anton, "Energy-Efficient Management of Virtual Machines Data Centers for Cloud Computing," THE UNIVERSITY OF MELBOURNE, 2013.
  6. Khosravi, "Energy and Carbon-Efficient Resource Management in Geographically Distributed Cloud Data Centers," The University of Melbourne, Melbourne, Australia, 2017.
  7. Salam, R. Karim and M. Ali, "Proactive dynamic virtual-machine consolidation for energy conservation in cloud data centres," Journal of Cloud ComputingAdvances, Systems and Applications, vol. 7, no. 1, 2018.
  8. R. Hintemann and J. Clausen, "Green Cloud? The current and future development of energy consumption by data centers, networks and end-user devices," in ICT4S Conference, Amsterdam, 2016.
  9. F. P. Sareh, "Energy-Efficient Management of Resources in Enterprise and Container-based Clouds," The University of Melbourne , 2016.
  10. NIST, "The NIST Definition of Cloud Computing," U.S. Department of Commerce, 2011.
  11. R. M. Sharma, "The Impact of Virtulization in Cloud Computing," International Journal of Recent Development in Engineering and Technology, vol. 3, no. 1, 2014.
  12. S. Amri, H. Hamdi and Z. Brahmi, "Inter-VM Interference in Cloud Environments: A Survey," in 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications, Hammamet, Tunisia, 2017.
  13. G. Chaima, "Energy efficient resource allocation in cloud computing Enviroment.," Institut National des T´el´ecommunications, Paris, 2014.
  14. R. Neha and J. Rishabh, "CLOUD COMPUTING: ARCHITECTURE AND CONCEPT OF VIRTUALIZATION," International Journal of Science, Technology & Management, vol. 4, no. 1, 2015.
  15. Esha, Y. J. S. and I. Biju, "Energy Efficient Virtual Machine Placement using Enhanced Firefly Algorithm," Multiagent and Grid Systems - An International journal, pp. 167-198, 2016.
  16. Gorelik, "Cloud Computing Models," MIT, 2013.
  17. H. AlJahdali, A. Albatli, P. Garraghan, P. Townend, L. Lau and J. Xu, "Multi-Tenancy in Cloud Computing," in 8th IEEE International Symposium on Service-Oriented System Engineering, Oxford, UK, 2014.
  18. B. Anton and B. Rajkumar, "Energy Efficient Resource Management in Virtualized Cloud Data Centers," in 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 2010.
  19. Intel, "The problem of power consumption in servers.," Intel , 2009.
  20. Z. Jiaqi, M. Yousri, T. Jie, J. Foued, L. Qinghuai and S. Achim, "Using a vision cognitive algorithm to schedule virtual machines," International Journal of Applied Mathematics and Computer Science, vol. 24, no. 3, 2014.
  21. G. Akhil and C. Navdeep, "A Proposed Approach for Efficient Energy Utilization in Cloud Data Center," International Journal of Computer Applications (0975 – 8887), vol. 115, no. 11, 2015.
  22. Natural Resources Defense Council (NRDC), "Data Center Efficiency Assessment," NRDC, 2014.
  23. M. Dabbagh, B. Hamdaoui, M. Guizani and A. Rayes, "Toward energy-efficient cloud computing: Prediction, consolidation, and overcommitment," IEEE Network, vol. 29, no. 2, 2015.
  24. C. Delimitrou, "Improving Resource Efficiency In Cloud Computing.," Stanford University, 2015.
  25. P. Xuesong, P. Barbara and V. Monica, "Virtual Machine Profiling for Analyzing Resource Usage of Applications," in International Conference on Services Computing, Milano, Italy, 2018.
  26. VMware, "Performance Best Practices for VMware vSphere 6.0," VMware, Inc, Palo Alto, CA, 2015.
  27. P. Jemishkumar, I.-L. Y. Vasu, B. Farokh, Jindal, X. Jie and G. Peter, "Workload Estimation for Improving Resource Management Decisions in the Cloud.," in 2015 IEEE TwelfthInternational Symbosium on Autonomous Decentralized Systems , 2015.
  28. T. Mastelic, A. Oleksiak, H. Claussen, I. Brandic, J.-M. Pierson and A. V. Vasilakos, "Cloud computing: survey on energy efficiency," ACM Computing Surveys, vol. 47, no. 2, 2015.
  29. Mirabel and R. Siddiqui, "Energy Aware Consolidation in Cloud Computing," 2015 .
  30. M. Derdus, V. O. Omwenga and P. J. Ogao, "The Effect of Cloud Workload Consolidation on Cloud Energy Consumption and Performance in Multi-Tenant Cloud Infrastructure," International Journal of Computer Applications (0975 – 8887), vol. 181, no. 37, pp. 47-53, 2019.
  31. X. Pu, L. Liu, Y. Mei, S. Sivathanu, Y. Koh and C. Pu, "Understanding Performance Interference of I/O Workload in Virtualized Cloud Environments," in 2010 IEEE 3rd International Conference on Cloud Computing, Miami, FL, USA, 2010.
  32. R. Nathuji, A. Kansal and A. Ghaffarkhah, "Q-clouds: managing performance interference effects for QoS-aware clouds," in EuroSys '10 Proceedings of the 5th European conference on Computer systems, Paris, France, 2010.
  33. X. Chen, L. Rupprecht, R. Osman, P. Pietzuch, F. Franciosi and W. Knottenbelt, "CloudScope: Diagnosing and Managing Performance Interference in Multi-tenant Clouds," in 2015 IEEE 23rd International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 2015.
  34. Xu, F. Liu and H. Jin, "Heterogeneity and Interference-Aware Virtual Machine Provisioning for Predictable Performance in the Cloud," IEEE Transactions on Computers, vol. 65, no. 8, pp. 2470 - 2483, 2016.
  35. Dhiman, "Dynamic Workload Characterization for Energy Efficient Computing," University of California, 2011.
  36. TSO Logic, "TSO Logic," 2017. [Online]. Available: http://tsologic.com/. [Accessed 4 January 2017].
  37. B. Subramaniam and W.-c. Feng, "Towards Energy-Proportional Computing Using Subsystem-Level Power Management," in Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering, Prague, Czech Republic, 2013.
  38. V. Sanjeev, "INNOVATIONS IN TECHNOLOGY: CLOUD COMPUTING AND ENERGY EFFICIENCY," International Journal of Engineering and Management Sciences, vol. 6, no. 2, 2015.
  39. Green Grid, "THE GREEN GRID DATA CENTER COMPUTE EFFICIENCY METRIC: DCcE," 2010.
  40. B. Luiz and H. Urs, "The Case for Energy-Proportional Computing," IEEE Computer Society , 2007.
  41. V. J. Patel and H. A. Bheda, "Reducing Energy Consumption with Dvfs for Real-Time Services in Cloud Computing," IOSR Journal of Computer Engineering (IOSR-JCE), vol. 16, no. 3, 2014.
  42. Z. Tang, L. Qi, Z. Cheng, K. Li, S. U. Khan and K. Li, "An Energy-Efficient Task Scheduling Algorithm in DVFS-enabled Cloud Environment," Journal of Grid Computing , vol. 14, no. 1, 2016.

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Published

2019-06-30

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Section

Research Articles

How to Cite

[1]
Kenga Mosoti Derdus, Vincent Oteke Omwenga, Patrick Job Ogao, " Causes of Energy Wastage in Cloud Data Centre Servers : A Survey , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 3, pp.416-430, May-June-2019. Available at doi : https://doi.org/10.32628/CSEIT1953139