Modified Hierarchical Method for Task Scheduling in Grid Systems
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 3
Abstract
This study aims to increase the productivity of grid systems by an improved scheduling method. A brief overview and analysis of the main scheduling methods in grid systems are presented. A method for increasing efficiency by optimizing the task graph structure considering the grid system node structure is proposed. Task granularity (the ratio between the amount of computation and transferred data) is considered to increase the efficiency of planning. An analysis of the impact on task scheduling efficiency in a grid system is presented. A correspondence of the task graph structure considering the node structure (in which the task is immersed) to the effectiveness of scheduling in a grid system is shown. A modified method for scheduling tasks while considering their granularity is proposed. The relevant algorithm for task scheduling in a grid system is developed. Simulation of the proposed algorithm using the modeling system GridSim is conducted. A comparative analysis between the modified algorithm and the algorithm of the hierarchical scheduler Maui is shown. The general advantages and disadvantages of the proposed algorithm are discussed.
Authors and Affiliations
Ahmad Ali AlZubi
Keywords
Related Articles
- EP ID EP249539
- DOI 10.14569/IJACSA.2017.080311
- Views 164
- Downloads 0
A Modified Clustering Algorithm in WSN
Nowadays many applications use Wireless Sensor Networks (WSN) as their fulfill the purpose of collection of data from a particular phenomenon. Their data centric behavior as well as harsh restrictions on energy makes WSN...
DDoS Classification Using Neural Network and Naïve Bayes Methods for Network Forensics
Distributed Denial of Service (DDoS) is a network security problem that continues to grow dynamically and has increased significantly to date. DDoS is a type of attack that is carried out by draining the available resour...
Developing Computer Network Based on EIGRP Performance Comparison and OSPF
One of the computer network systems technologies that are growing rapidly at this time is internet. In building the networks, a routing mechanism is needed to integrate the entire computer with a high degree of flexibili...
Detection of Infected Leaves and Botanical Diseases using Curvelet Transform
The study of plants is known as botany and for any botanist it is a daily routine work to examine various plants in their research lab. This research efforts an image processing-based algorithm for extracting the region...
MINING POSITIVE AND NEGATIVE ASSOCIATION RULES USING FII-TREE
Positive and negative association rules are important to find useful information hidden in large datasets, especially negative association rules can reflect mutually exclusive correlation among items. Association rule mi...