Low Power Consumption on Cloud Data Centers Using HSA Algorithm

Authors

  • Louay Al Nuaimy  Lecture, Dept. of CSMIS, Oman College Management &Technology, Sultanate of Oman.
  • Tadele Debisa Deressa  Lecture, Dept. of Computer Science, Wollega University, Nekemte, Ethiopia
  • Mohammad Mastan  Assistant Professor, Dept. of CSMIS, Oman College Management &Technology, Sultanate of Oman
  • Syed Umar  Professor, Dept. of Computer Science, Wollega University, Nekemte, Ethiopia

DOI:

https://doi.org/10.32628/IJSRSET20734

Keywords:

Cloud Computing, Virtual Machine, Harmony's Search Algorithm

Abstract

The rapid development of knowledge and communication has created a new processing style called cloud computing. One of the key issues facing cloud infrastructure providers is minimizing costs and maximizing profitability. Power management in cloud centres is very important to achieve this. Energy consumption can be reduced by releasing inactive nodes or by reducing the migration of virtual machines. The second is one of the challenges of choosing the virtual machine deployment method to migrate to the right node. This article proposes an approach to reduce electricity consumption in cloud centres. This approach adapts Harmony's search algorithm to move virtual machines. Positioning is done by sorting nodes and virtual machines according to their priorities in descending order. Priority is calculated based on the workload. The proposed procedure is envisaged. The evaluation results show less virtual machine migration, greater efficiency and lower energy consumption.

References

  1. A.Atrey, N. Jain ,Iyengar ,"A Study on Green Cloud Computing" International Journal of Grid and Distributed Computing,vol. 6,p. 93-102, (2013).
  2. A.Beloglazov, J. Abawajy , R. Buyya ,"Energy-aware resource allocation heuristics for efficient management of data centres for Cloud computing" vol. 28,p.755–768, (2012).
  3. A.Beloglazov, R. Buyya ,"Adaptive Threshold-Based Approach for Energy Efficient Consolidation of Virtual Machines in Cloud Data Centres" ,p.1-6, (2010).
  4. A.Beloglazov, R. Buyya ,"Energy Efficient Resource Management in Virtualized Cloud Data Centres" ,p.826-831, (2010).
  5. A.Beloglazov, R. Buyya ,"Optimal Online Deterministic Algorithms and Adaptive Heuristics for Energy and Performance Efficient Dynamic Consolidation of Virtual Machines in Cloud Data Center",vol. 24,p.1397–1420, (2012).
  6. A.Beloglazov, R. Buyya, Y. C. Lee , A. Zomaya ,"A Taxonomy and Survey of Energy-Efficient Data Centres and Cloud Computing Systems" ,vol. 82,p.1-50, (2011).
  7. R.Buyya, A. Beloglazov,"OpenStack Neat: a framework for dynamic and energy-efficient consolidation of virtual machines in Open Stack clouds" vol.27(5),p.1310–1333, (2015).
  8. R.Buyya, A. Beloglazov , J. Abawajy ,"Energy-efficient management of data center resources for Cloud computing" ,in Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA),p. 1–12, (2010).
  9. P.company,www.gartner.com,(2015).
  10. S.E.Dashti, A. M. Rahmani ,"Dynamic VMs placement for energy efficiency by PSO in cloud computing", Experimental & Theoretical Artificial,Intelligence,p.1-16, (2015).
  11. H.Duan, Q. Luo, Y. Shi , G. Ma ,"Hybrid Particle Swarm Optimization and Genetic Algorithm for Multi-UAV Formation Reconfiguration" , IEEE Computational Intelligence Society,vol. 8(3),p.16 – 27, (2013).
  12. M.Eissa, T. Abdel-hameed,"A Novel Approach for Optimum Number and Location of FACTS Devices on IEEE-30 Bus Grid using MetaHeuristicbasd Harmony Search",p. 1 – 10, (2013).
  13. X.FU, C. ZHOU ,"Virtual machine selection and placement for dynamic consolidation in Cloud computing environment" ,vol. 9(2),p.322-330, (2015).
  14. Y.Gaoa, H. Guana, Z. Qia, Y. Houb ,L. Liu ,"A multi-objective ant colony system algorithm for virtual machine placement in cloud computing", Journal of Computer and System Sciences ,vol.79(8),p.1230–1242, (2013).
  15. Z.W.Geem, J. H. Kim , G. V. Logan than ,"A New Heuristic Optimization Algorithm: Harmony Search" ,vol. 76,p. 60-68, (2001).
  16. E.Khorram, M. Jaberipour ,"Harmony search algorithm for solving combined heat and power economic dispatch problems" ,Energy Conversion and Management ,vol.52(2),p. 1550–1554, (2011).
  17. A.Khosravi, S. K. Garg, R. Buyya ,"Energy and Carbon-Efficient Placement of Virtual Machines in Distributed Cloud Data Centres" ,p.317-328, (2013)
  18. D.C.Hoang, P. Yadav, R. Kumar, S. K. Panda ,"Real-Time Implementation of a Harmony Search Algorithm-Based Clustering Protocol for Energy-Efficient Wireless Sensor Networks" ,IEEE Computer Society ,vol.10(1),p.774 – 783, (2014).
  19. M.R.V.Kumar, S. Raghunathan ,"Heterogeneity and thermal aware adaptive heuristics for energy efficient consolidation of virtual machines in Infrastructure clouds", Journal of Computer and System Sciences ,vol.82(2),p. 1-30, (2015).
  20. T.Mastelic, A. Oleksiak, H. Claussen, I. Brandic , J.-M. Pierson ,"Cloud Computing: Survey on Energy Efficiency" Journal ACM Computing Surveys (CSUR),vol. 47(2),p. 33, (2015).
  21. K.Maurya, R.Sinha ,"Energy Conscious Dynamic Provisioning of Virtual Machines using Adaptive Migration Thresholds in Cloud Data Center",p. 74-82, (2013).
  22. K.maurya, R. sinha ,"Energy Conscious Dynamic Provisioning Of Virtual Machines Using Adaptive Migration Thresholds in Cloud Data center " ,vol. 2(3),p. 74-82, (2013).
  23. N.Quang-Hung, P. D. Nien, N. H. Nam, N. H. Tuong, N. Thoai ,"A Genetic Algorithm for Power- Aware Virtual Machine Allocation in Private Cloud", Springer Berlin Heidelberg ,vol.7804, p. 183- 191,(2013)
  24. S.R.Suraj,R.Natchadalingam ,"Adaptive Genetic Algorithm for Efficient Resource Management in Cloud Computing" ,International Journal of Emerging Technology and Advanced Engineering , vol.4(2), p.350-356,(2014).
  25. J.Sekhar, G. Jeba ,"Energy Efficient VM Live Migration in Cloud Data Centres." IJCSN International Journal of Computer Science and Network, vol.2(2),p. 71-75,(2013).
  26. S.Tuo, J. Zhang, L. Yong, X. Yuan , B. Liu , X. Xub,F. a. Dengb, "A harmony search algorithm for high-dimensional multimodal optimization problems", Digital Signal Processing, vol.46, p.151– 163,(2015)
  27. Showing, Z. Liu, Z. Zheng, Q. Sun , F. Yang , "Particle Swarm Optimization for Energy-Aware Virtual Machine Placement Optimization in Virtualized Data Centres", 19th IEEE International Conference on Parallel and Distributed Systems. 102 - 109, (2013).
  28. X-S.Yang, "Harmony Search as a Met heuristic Algorithm", Springer Berlin, vol.191, p.1-14,(2009)
  29. V.Suresh Kumar. Aramudhan” Trust Based Resource Selection in Cloud Computing Using Hybrid Algorithm”,I.J. Intelligent Systems and Applications, 2015, p.59-64 .Published Online July 2015 in MECS DOI: 10.5815/ijisa.2015.08.08
  30. Yangquan Gao , Haibing Guan ,Zhengwei Qi , Yang Hou, Liang Liu,” A multi-objective ant colony system algorithm for virtual machine placement in cloud computing”, 2013,http://dx.doi.org/10.1016/j.jcss.2013.02.004,p.1-13
  31. AkhilGoyal,Navdeep S. Chahal,”A Proposed Approach for Efficient Energy Utilization in Cloud Data Center”,International Journal of Computer Applications (0975 – 8887) Volume 115 – No. 11, April 2015,p.24-27
  32. ElinaPacini,Cristian Mateos, Carlos Garc´?aGarino,”Dynamic Scheduling based on Particle Swarm Optimization for Cloud-based Scientific Experiments", LEI ELECTRONIC JOURNAL, VOLUME 14, NUMBER 1, PAPER 2, APRIL 2014.
  33. Gao, Y., Guan, H., Qi, Z., Hou, Y., & Liu, L. (2013). A multi-objective ant colony system algorithm for virtual machine placement in cloud computing. Journal of Computer and System Sciences, 79, 1230–1242. doi:10.1016/j.jcss.2013.02.004
  34. A. Murtazaev,S.Oh,"Sercon: Server Consolidation Algorithm using Live Migration of Virtual Machines for Green Computing " ,IETE TECHNICAL REVIEW ,vol. 28, p.1-20, (2012)
  35. R.Nathuji, K. Schwan ,"Virtual Power: Coordinated power management in virtualized enterprise systems" ,ACM SIGOPS Operating Systems Review,vol. 41,p. 265–278, (2007).
  36. A.Verma, P. Ahuja ,A. Neogi, "paper: power and migration cost aware application placement in virtualized systems", n Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware, p. 243-264,(2008).

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-06-30

Issue

Volume 7, Issue 3, May-June-2020

Section

Research Articles

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How to Cite

[1]
Louay Al Nuaimy, Tadele Debisa Deressa, Mohammad Mastan, Syed Umar "Low Power Consumption on Cloud Data Centers Using HSA Algorithm" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 3, pp.78-84, May-June-2020. Available at doi : https://doi.org/10.32628/IJSRSET20734