Comparative Study of Task Duplication based Scheduling Algorithms for Parallel Systems

Comparative Study of Task Duplication based Scheduling Algorithms for Parallel Systems

Scheduling of tasks is done by mapping tasks on multiple processors so that it requires least time for completion of all processes. Multiprocessors are used to run real time applications that uniprocessor systems would not be competent to execute. This paper presents various scheduling algorithms that schedule an edge-weighted Directed Acyclic Graph (DAG) to a number of processors. In this pape...

A Comparison of Task-Duplication-Based Algorithms for Scheduling Parallel Programs to Message-Passing Systems†

A major hurdle in achieving high performance in message-passing architectures is the inevitable communication overhead that occurs when tasks scheduled on different processors need to exchange data. This overhead can cause a stern penalty especially in distributed systems such as clusters of workstations, where the network channels are considerably slower than the processors. For a given parall...

A Task Duplication Based Scheduling Algorithm for Heterogeneous Systems

Optimal scheduling of tasks of a directed acyclic graph (DAG) onto a set of processors is a strong NP-hard problem. In this paper we present a scheduling scheme called TDS to schedule tasks of a DAG onto a heterogeneous system. This models a network of workstations, with processors of varying computing power. The primary objective of this scheme is to minimize schedule length and scheduling tim...

Task Scheduling for Parallel Systems

An Optimal Task Scheduling for Cluster Systems Using Task Duplication

This paper addresses the problem of scheduling a parallel program represented by a directed acyclic task graph onto homogeneous cluster systems to minimize its execution time. Many sub-optimal algorithms have been proposed that promises acceptable running time but not optimal solutions. We propose an algorithm that guarantees optimal solutions but not acceptable running time. Experiments show t...