World Applied Sciences Journal 29 (Data Mining and Soft Computing Techniques): 159-165, 2014 ISSN 1818-4952 © IDOSI Publications, 2014 DOI: 10.5829/idosi.wasj.2014.29.dmsct.30 Corresponding Author: S. RamKumar, CSE, School of Computing, SASTRA University, India. 159 Towards Efficient Load Balancing and Green it Mechanisms in Cloud Environment S. RamKumar, V. Vaithiyanathan and M. Lavanya 1 2 2 CSE, School of Computing, SASTRA University, India 1 School of Computing, SASTRA University, India 2 Abstract: Cloud Environment allows users to access on-demand IT resources over the cyberspace based on pay per use pattern. Optimizing the resource utilizationand reducing the amount of active server machine usage in clouds become a challenging task. The major intend of this work is to builda model which supports balancing the workload in cloud datacenters and minimizing the amount of active servers to support Green-IT model.Based on the conventional Earliest Deadline First(EDF) algorithm, this work presents an Adaptive Earliest Deadline First (AEDF) algorithm for load balancing problem in order to achieve efficient consumption of cloud resources and also to support Green Computing technology. Comparing with traditional load balancing algorithm,the proposed method achieves high throughput, minimized cost and effective scheduling of tasks. Our proposed model supports both Load balancing and Green-IT technology. Key words: Cloud Environment Green Computing Load balancing Resourceutilization INTRODUCTION software based virtualization techniques. Hybrid Cloud Computing [1, 2] is the model for delivering based virtualization machinery and traditional Para- IT resources, in which the resources are retrieved from the virtualization techniques. Para-virtualization is the cyberspace using pay per use pattern. It allows the cloud virtualization technique used in xen server and it serves consumer to extent the infrastructure dynamically in the interfaces to the virtual machine. Para-virtualization within rapid period. In nature, the cloud contains uses the kernel for guest os is exactly loaded and virtualization of resources (i.e. software and hardware) compiled before installing in to the virtual machine. This these resources are maintained and managed in cloud hybrid virtualization technique can decrease the environment itself. Cloud environment provides several complications and overhead in the conventional virtual characteristics: machines. On-demand utilization. Green IT it can maximize the utilization of cloud resources Network of Shared Resources. in energy efficient manner. The Green IT also reduces the Elastic Provisioning. energy expenditure. This proposed work intends to attain Fine – grained metering. the both Load balancing technique and Green IT Virtualization in cloud computing is the constructing virtual system instead of real system, it may be an Green IT: Maximize the consumption of cloud computational resources, hardware platforms, software virtual resources, also it decreases the cost of cloud platforms, storage machine depends upon the user IT services and minimize the amount of active server requirements. Now a day’s several investigations are machine. focused on constructing efficient virtualization Load Balancing: Allocate the workload technologies for IT purposes (i.e. Green computing and across several computers, servers and other cloud computing). Hardware based virtualization resources to attain efficient resource machinery introduced for reducing the constraints of the consumption. virtualization [3] is the combination of both hardware This work presents Green Computing technology or technology: