A SURVEY FOR ENERGY EFFICIENCY IN CLOUD DATA CENTERS

Authors

  • Dinesh Raj Paneru M.Tech. Student, SET, Jain University, Bengaluru, India
  • Madhu B. R. Associate Professor, SET, Jain University, Bengaluru, India
  • Santosh Naik Associate Professor, SET, Jain University, Bengaluru, India

DOI:

https://doi.org/10.29121/granthaalayah.v5.i4RACSIT.2017.3353

Keywords:

Cloud Computing, Virtual Machine Migration, Energy Consumption, Server Consolidation, Load Balancing

Abstract [English]

Services such as Platform as a Service (PaaS), Infrastructure as a Service (IaaS) and Software as a Service (SaaS) are provided by Cloud Computing. Subscription based computing resources and storage is offered in cloud. Cloud Computing is boosted by Virtualization technology. To move running applications or VMs starting with one physical machine then onto the next, while the customer is associated is named as Live VM migration. VM migration is empowered by means of Virtualization innovation to adjust stack in the server farms.


Movement is done fundamentally to deal with the assets progressively. Server Consolidation’s main goal is to expel the issue of server sprawl. It tries to pack VMs from daintily stacked host on to fewer machines to satisfy assets needs. On other hand Load balancing helps in distributing workloads across multiple computing resources. Also in the presence of low loaded machines it avoids machines from getting overloaded and maintains efficiency. To balance the load across the systems in various cases, live migration technique is used with the application of various algorithms. The movement of virtual machines from completely stacked physical machines to low stacked physical machines is the instrument to adjust the entire framework stack. When we are worried about the energy consumption in Cloud Computing, VM consolidation & Server Consolidation comes into scenario in Virtual Machine movement method which itself implies that there is low energy consumption.

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Published

2017-04-30

How to Cite

Paneru, D. R., B. R., M., & Naik, S. (2017). A SURVEY FOR ENERGY EFFICIENCY IN CLOUD DATA CENTERS. International Journal of Research -GRANTHAALAYAH, 5(4RACSIT), 63–68. https://doi.org/10.29121/granthaalayah.v5.i4RACSIT.2017.3353