G k karthikeyan

Prassanna jayachandran

Neelanarayanan venkataraman

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

International Journal of Big Data Intelligence

Now a day’s cloud computing breaks almost all the barriers of large scale computing and widens the scope of massive computational possibilities. Cloud computing provides various benefits to the whole computing societies such as on demand flexi pay access to techno business services and wide range of computing resources requires an exponential growth in its technology put forth serious challenges including VM load balancing especially in cloud data centers. It dynamically distributes the workload across multiple servers in the cloud data center so that not even a single server involved is underutilized or overutilized. If load balancing is not done properly in the cloud then it leads to the inefficiency in processor utilization that in turn risks the provider by creating a significant problem of increase in overall energy consumption and the world by increasing the carbon emissions. Lots of different techniques like Round Robin, Throttled and Equally Spread Current Execution are claimed to provide efficient mechanisms to resolve this problem. This paper compares and summaries the existing load balancing techniques which are used to solve the issues in cloud environment by considering the data center processing time and response time and propose an improved load balancing strategy believed to be a efficient solution for the cloud load balancing issues. © Springer International Publishing Switzerland 2016.

Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16’) Smart Innovation, Systems and Technologies

Towards an Analysis of Load Balancing Algorithms to Enhance Efficient Management of Cloud Data Centres

IEEE Network

Greening the cloud using renewable-energy-aware service migration

2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing

VCBR: Virtual Channel Balanced Routing in Torus Networks

IEEE Communications Letters

Distributed Flow Scheduling in Energy-Aware Data Center Networks

The Journal of Supercomputing

GreenCloud: a packet-level simulator of energy-aware cloud computing data centers

Journal of Parallel and Distributed Computing

Adaptive energy-efficient scheduling for real-time tasks on DVS-enabled heterogeneous clusters

Energy aware network scheduling for a data centre

Journal	International Journal of Big Data Intelligence
Publisher	Inderscience Publishers
ISSN	2053-1389
Open Access	0