Challenges in green computing for energy saving techniques

• Published in: 2017 International Conference on Emerging Trends & Innovation in ICT (ICEI) pp. 73 - 76
• Main Authors: More, Nitin S., Ingle, Rajesh B.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.02.2017
• Subjects: Algorithm design and analysis; Cloud computing; datacenters; Energy consumption; energy efficient cloud; green computing; Power demand; Quality of service; Servers; Virtualization
• DOI: 10.1109/ETIICT.2017.7977013

Virtual machines use are increasing day by day as people are using many smart gadgets which are highly computing and for operating them smoothly, required virtual machines. Virtualization is the basic technique of creating various resources from the available physical infrastructure. It is the backbone of cloud computing technology. This paper try to deal with studying various techniques, models, algorithms, for efficient green cloud computing by using virtualization techniques. It mainly involves virtual machines(VMs) consolidation. Power utilization can be reduced by simply deactivating and reactivating physical machines to meet the current workload. Power awareness in distributed system can be defined as identifying the parameters which minimize the energy consumption along with better QOS, SLA. The various strategies discussed here are mainly focusing on saving power and making data centers more efficient by considering server and network as its scope, however in future due to requirement of high bandwidth and network connectivity of data centers, power requirement of data center will go beyond our imagination. To handle the above mentioned concern require actual study of how power consumption happens in data centers, most of the part of power are consumed by servers, CPU and switches i.e. network devices. There still lots of research need to be done to design such modern algorithm and techniques which achieve better energy efficiency along with consideration of QOS, SLA, and VM consolidation by defining VM topologies which are fault tolerant and also helps nature, mankind by minimizing Co 2 emission.