00 Acta Scientific | International Open Library | Open Access Journals Publishing Group

Acta Scientific Computer Sciences

Research Article Volume 2 Issue 11

Load Migration Algorithm Using Green Computing in Cloud Environment

Shalini Garg* and Kamal Gupta

Department of Computer Science, Guru Nanak Institutions, Mullana, Haryana, India

*Corresponding Author: Shalini Garg, Department of Computer Science, Guru Nanak Institutions, Mullana, Haryana, India.

Received: October 14, 2020; Published: October 21, 2020

×

Abstract

  Due to continual growth of cloud users, quality of service declining and workload increasing rapidly of cloud based data centers. They consist of dozens of virtual machines that provides various services. By using green computing we try to make best use of resource efficiency in eco- friendly manner. Deliver superior Quality of Service, efficient resource utilization, better management of users and reduce time and energy can be done by VM balancing and migration. In data centers VM has huge amount of traffic and generate harmful radiation as outcome. In this paper, we go through all existing VM balancing and migration methods with respect to their pros and cons and examined VM migration technique by simulation taking CPU consumption, Memory, time taken as parameters.

Keywords: Load Migration Algorithm; Green Computing; Cloud Environment; Virtual Machine (VM)

×

References

  1. “The NIST Definition of Cloud Computing”. National Institute of Standards and Technology: U.S. Department of Commerce”. NIST Special Publication (2018): 800-145.
  2. A Beloglazov and R Buyya. “Energy Efficient Allocation of Virtual Machines in Cloud Data Centers”. 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (2017): 577-578.
  3. B Wei., et al. “Energy Optimized Modelling for Live Migration in Virtual Data Center”. Proceedings of IEEE International Conference on Computer Science and Network Technology (ICCSNT) 4 (2016): 2311-2315.
  4. H Goudarzi and M Pedram. “Multi-dimensional SLA-based Resource Allocation for Multi- tier Cloud Computing Systems”. IEEE 4th International Conference on Cloud Computing (2016): 324-331.
  5. R Buyya. “Energy-aware Resource Allocation Heuristics for Efficient Management of Data Centers for Cloud Computing”. Future Generation Computer Systems5 (2016): 755-768.
  6. AA Patel and JN Rathod. “Reducing Power Consumption and Delay Aware Resource Allocation in Cloud Data Centers”. Journal of Information, Knowledge and Research in Computer Engineering2 (2015): 337-339.
  7. D Jayasinghe. “Improving Performance and Availability of Services Hosted on IaaS Clouds with Structural Constraint-aware Virtual Machine Placement”. IEEE International Conference on Services Computing (2014): 72-79.
  8. K Ye., et al. “Virtual Machine Based Energy Efficient Data Center Architecture for Cloud Computing: A Performance Perspective”. IEEE/ACM International Conference on Green Computing and Communications (2013): 171-178.
  9. S Esfandiarpoor., et al. “Virtual Machine Consolidation for Data center Energy Improvement”. Cornell University Library, Ithaca, New York (2013).
×

Citation

Citation: Shalini Garg and Kamal Gupta. “Load Migration Algorithm Using Green Computing in Cloud Environment". Acta Scientific Computer Sciences 2.11 (2020): 25-31.




Metrics

Acceptance rate35%
Acceptance to publication20-30 days

Indexed In




News and Events


  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is May 30, 2024.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of "Best Article of the Issue"
  • Welcoming Article Submission
    Acta Scientific delightfully welcomes active researchers for submission of articles towards the upcoming issue of respective journals.

Contact US