Cloud computing has become the buzz word since many years. The importance of data storage and processing in cloud has increased since the past two years. The digital data growth has contributed significantly for cloud storage. Hadoop is being used for data intensive computations and the latest Hadoop version YARN is more efficient than its predecessors. In this paper we are proposing a framework which will help in deploying cloud over YARN architecture. The paper also deals with the bulk creation of virtual machines in cloud. © 2014 IEEE.

Nirmala M

Department of Smart Computing

School of Information Technology and Engineering

Vellore Campus

Dhinesh Babu L-D

Department of Software and Systems Engineering

Raj E.D

Nivash J.P

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.

&nbsp;

&nbsp;

VIT University

A scalable cloud computing deployment framework for efficient MapReduce operations using Apache YARN

International Conference on Information Communication and Embedded Systems (ICICES2014)

In cloud computing environments, resources and infrastructure are provided as a service over internet on demand. The users are interested in reducing the service cost provided by the cloud service providers. Scheduling tasks of workflows play a vital role in determining performance of cloud computing systems. Workflows have many tasks in it and are interdependent on each other. Time critical workflows comprise of a collection of tasks which should be completed as early as possible so that other workflows get its turn. The budget involved in executing the time critical tasks is very high. The execution cost increases whenever we try to reduce the execution time. In this paper, we propose a method called versatile time-cost algorithm (VTCA) to schedule time critical workflows with minimum cost. VTCA will schedule the tasks to complete in earliest possible time as well as optimise the cost involved in resource provisioning. The results of experiments conducted using CloudSim simulator show that our scheduling policy minimises the completion time of workflows than other existing algorithms like min-min and fair max-min by 5% to 30% and it also reduces the costs by 5% to 35%. © 2013 Inderscience Enterprises Ltd.

International Journal of Communication Networks and Distributed Systems

Versatile time-cost algorithm (VTCA) for scheduling non-preemptive tasks of time critical workflows in cloud computing systems

Scheduling of tasks in cloud computing is an NP-hard optimization problem. Load balancing of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of task scheduling in clouds. Whenever certain VMs are overloaded and remaining VMs are under loaded with tasks for processing, the load has to be balanced to achieve optimal machine utilization. In this paper, we propose an algorithm named honey bee behavior inspired load balancing (HBB-LB), which aims to achieve well balanced load across virtual machines for maximizing the throughput. The proposed algorithm also balances the priorities of tasks on the machines in such a way that the amount of waiting time of the tasks in the queue is minimal. We have compared the proposed algorithm with existing load balancing and scheduling algorithms. The experimental results show that the algorithm is effective when compared with existing algorithms. Our approach illustrates that there is a significant improvement in average execution time and reduction in waiting time of tasks on queue. © 2013 Elsevier B.V.

Applied Soft Computing

Honey bee behavior inspired load balancing of tasks in cloud computing environments

Over the past two decades, the scenario in the computing world has evolved from client-server to distributed systems and then to central virtualization called as cloud computing. Computing world is moving towards Cloud Computing and it remains as buzzword of the current era. Earlier, users had complete control over their processes and data stored in personal computer where as in cloud, cloud vendor provides services and data storage in remote location over which the client has no control or information. As application and data processing takes place in public domain outside the designated firewall, several security concerns and issues arise. The main objective of the paper is to provide an overall security perspective in cloud Computing and highlight the security concerns and other issues. The paper also highlights few technical security issues in cloud computing. © 2011 Springer-Verlag.

Journal	Data powered by TypesetInternational Conference on Information Communication and Embedded Systems (ICICES2014)
Publisher	Data powered by TypesetIEEE
Open Access	No