Task allocation model for Balance utilization of Availableresource in Multiprocessor Environment
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 4
Abstract
Abstract: Distributed computing systems are of current interest due to the advancement of microprocessortechnology and computer network. The prime function of effective utilization of distributed system is accuratelymapping of task and tasks their scheduling on different processors for reducing their total finish time. Totalruntime is taken time for all module with the runtime of tasks and their communication cost among tasks. InDistributed processing system, partitioning of a task into modules and proper allocation of module amongprocessors are more important factor for efficient utilization of resources. In this paper, we discuss allocation ofa set of ‘m’ module of a task to a set of ‘n’ processors (where m > n) to get an optimal utilization of availableprocessors. We partition the task in different size of module and design an algorithm for allocation of thesemodules in distributed processing environment. While designing the model Per Bit Processing Rate, Inter TaskCommunication Cost, Task Size has been taken into consideration. We consider the constraints of minimizingexecution cost and their Inter task communication and maximize the overall throughput of the system to betaking as constraints in such a way that allocated load on all the processor is balances.
Authors and Affiliations
Ruchi Gupta , Dr. P. K Yadav
Keywords
Related Articles
- EP ID EP100673
- DOI -
- Views 108
- Downloads 0
Methods Migration from On-premise to Cloud
Abstract: Cloud computing is evolving as a key computing platform for sharing resources that includeinfrastructures, software, applications, and business. An increasing number of companies are expected tomigrate th...
Energy Conservation in Wireless Sensor Networks: A Review
A wireless sensor network consists of a large number of sensor nodes which are deployed over an area to perform local computations based on information gathered from the surroundings. Each node in the netw...
Process performance model for predicting Delivered Defect Density in a software scrum project
Abstract: Agile scrum projects are gaining popularity for software development and delivery, due to its inherent attributes of flexibility in execution and quicker time to market. However, the critics of Agile have been...
A Review on Diverse Ensemble Methods for Classification
Ensemble methods for different classifiers like Bagging and Boosting which combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity ofthe members of...
Particle Swarm Optimization Supported Artificial Neural Network in Detection of Parkinson’s Disease
Abstract: Recent research works have focused on detection of Parkinson’s disease using several machine learning techniques. Accurate separation of normal persons in the subjects under consideration from the persons being...