BEYOND SIMULATED ANNEALING IN GRID SCHEDULING
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 3
Abstract
In Grid Environment the number of resources and tasks to be scheduled is usually variable and dynamic in nature. This characteristic emphasizes the scheduling approach as a complex optimization problem. Scheduling is a key issue which must be solved in grid computing study and a better scheduling scheme can greatly improve the efficiency.The objective of this paper is to explore and investigate Simulated Annealing with limited iterations to promote compute intensive grid applications to maximize the Job Completion Ratio based on the comprehensive understanding of the challenges and the state of the art of current research. Experimental results demonstrate the effectiveness and robustness of the proposed algorithm. Further the comparative evaluation with other scheduling algorithms such as First Come First Serve (FCFS), Earliest Deadline First (EDF) is plotted.
Authors and Affiliations
R. Joshua Samuel Raj , Dr. V. Vasudevan
An Enhanced Active contour based Segmentation for Fingerprint Extraction
Fingerprint Segmentation is one of the critical and important steps in Automatic Fingerprint Recognition System (AFIS). It is a process that separates the fingerprint image into two regions, the foreground and background...
Comparative study of various PKINIT methods used in Advanced Kerberos
Traditional authentication method is password, but it cannot resist dictionary and playback attack. Thus, applications, which send an unencrypted password over the network, are extremely vulnerable. Kerberos can be used...
Audio-Visual Based Multi-Sample Fusion to Enhance Correlation Filters Speaker Verification System
In this study, we propose a novel approach for speaker verification system that uses a spectrogram image as features and Unconstrained Minimum Average Correlation Energy (UMACE) filters as classifiers. Since speech signa...
A Fuzzy Integrated Ontology Model to Manage Uncertainty in Semantic Web: The FIOM
Semantic web, also known as next generation web, aims to provide context based information and services to the user. Although, ontologies play key role in implementation and exploitation of semantic web, however these fa...
FEATURE SELECTION METHODS AND ALGORITHMS
Feature selection is an important topic in data mining, especially for high dimensional datasets. Feature selection (also known as subset selection) is a process commonly used in machine learning, wherein subsets of the...