A Modified and Efficient Algorithm for Static Task Assignment in Distributed Processing Environment

Abstract

The Distributed Processing Environment [DPE] in which services provided for the network reside at multiple sites. Instead of single large machine being responsible for all aspects of process, each separate processor handles subset. In the distributed environments the program or tasks are also often developed with the subsets of independent units under various environments. The Allocation problems in any computer system play the key role for deciding the performance of the system. The allocation put the direct impact of software resources as well as hardware resources. In DPE, partitioning of the application software in to module and the proper allocation of these modules dissimilar processors are important factors, which determine the efficient utilization of resources. The static model discussed in this paper provide an optimal solution for assigning a set of "m" modules of a task to a set of "n" processors where m > n in a distributed system for evaluation for optimal time of the system.

A Tricky Task Scheduling Technique to Optimize Time Cost and Reliability in Mobile Computing Environment

“…To overcome such problem in a MCE, a task scheduling technique would be needed where more than one task to a single processor can be schedule in order to achieve minimum processing time, processing cost and maximum processing reliability in MCE. Some of the task allocation schemes have been reported in the literature, such as Task modeling [1], Scheduling of tasks [2,5,7,8,11], Task allocation scheme [3,15,20], Resource allocation [4,13,14,16,19], Load balancing [10], Static task assignment [6], Resource scheduling [9], Job scheduling algorithm [12], Resource management and scheduling [17], Application scheduling in Mobile Cloud Computing [18]. This research paper propose a new task scheduling technique to task allocation in MCE by using the proper utilization of processors of the MCE so the problem of load balancing can be avoid.…”