A Novel Approach for Submission of Tasks to a Data Center in a Virtualized Cloud Computing Environment
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 8
Abstract
The submission of tasks to a data center plays a crucial role to achieve the services like scheduling, processing in a cloud computing environment. Energy consumption of a data center must be considered for task processing as it results in high operational expenditures and bad environmental impact. Unfortunately, none of the current research works focus on energy factor while submitting tasks to a cloud. In this paper a framework is proposed to select a data center with minimum energy consumption. The service provider has to register all the data centers in a registry. The energy consumed by task processing using virtualization and energy of IT equipments like routers, switches is calculated. The data center selection framework finally selects the data center with minimum energy consumption for task processing. The experimental results indicate that the proposed idea results in a less energy when compared to the existing algorithms for selection of data centers.
Authors and Affiliations
B. Santhosh Kumar, Latha Parthiban
Keywords
Related Articles
- EP ID EP133713
- DOI 10.14569/IJACSA.2016.070832
- Views 73
- Downloads 0
Classification based on Clustering Model for Predicting Main Outcomes of Breast Cancer using Hyper-Parameters Optimization
Breast cancer is a deadly disease in women. Predicting the breast cancer outcomes is very useful in determining the efficient treatment plan for the new breast cancer patients. Predicting the breast cancer outcomes (also...
Iris Recognition Using Modified Fuzzy Hypersphere Neural Network with different Distance Measures
In this paper we describe Iris recognition using Modified Fuzzy Hypersphere Neural Network (MFHSNN) with its learning algorithm, which is an extension of Fuzzy Hypersphere Neural Network (FHSNN) proposed by Kulkarni et...
Cost Optimization of Replicas in Tree Network of Data Grid with QoS and Bandwidth Constraints
Data Grid provides resources for data-intensive scientific applications that need to access a huge amount of data around the world. Since data grid is built on a wide-area network, its latency prohibits efficient access...
A New 3D Model-Based Tracking Technique for Robust Camera Pose Estimation
In this paper we present a new robust camera pose estimation approach based on 3D lines features. The proposed method is well adapted for mobile augmented reality applications We used an Extended Kalman Filter (EKF...
An Adaptive Hybrid Controller for DBMS Performance Tuning
Performance tuning process of database management system (DBMS) is an expensive, complex and time consuming process to be handled by human experts. A proposed adaptive controller is developed that utilizes a hybrid model...