Efficient task scheduling is essential to obtain high performance in distributed computing environment. Achieving a better makespan is a key issue in designing and development of task scheduling algorithms. Several algorithms have been proposed for homogeneous and heterogeneous distributed computing systems. In this paper, we proposed a new static scheduling algorithm called Leveled DAG Prioritized Task (LDPT) to efficiently schedule tasks on homogeneous distributed computing systems. LDPT aims to improve the efficiency of the system by minimizing the schedule length
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
Complex problems consisting of interdependent subtasks are represented by a direct acyclic graph (DA...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
Abstract—In distributed computing environment, efficient task scheduling is essential to obtain high...
The main objective of task scheduling is to assign tasks onto available processors with the aim of p...
Efficient task scheduling is essential for obtaining high performance in heterogeneous distributed c...
In distributed computing, the schedule by which tasks are assigned to processors is critical to mini...
AbstractIn distributed computing, the schedule by which tasks are assigned to processors is critical...
Abstract—Efficient task scheduling is essential for obtaining high performance in heterogeneous dist...
Most current research on commonly used distributed computing frameworks neglects the difficulty of l...
Task Scheduling problem for heterogeneous systems is concerned with arranging the various tasks to b...
Static scheduling is the temporal and spatial mapping of a program to the resources of parallel syst...
Static scheduling is the temporal and spatial mapping of a program to the resources of parallel syst...
An algorithm has been developed to dynamically schedule heterogeneous tasks on to heterogeneous proc...
Efficient application scheduling is critical for achieving high performance in heterogeneous computi...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
Complex problems consisting of interdependent subtasks are represented by a direct acyclic graph (DA...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
Abstract—In distributed computing environment, efficient task scheduling is essential to obtain high...
The main objective of task scheduling is to assign tasks onto available processors with the aim of p...
Efficient task scheduling is essential for obtaining high performance in heterogeneous distributed c...
In distributed computing, the schedule by which tasks are assigned to processors is critical to mini...
AbstractIn distributed computing, the schedule by which tasks are assigned to processors is critical...
Abstract—Efficient task scheduling is essential for obtaining high performance in heterogeneous dist...
Most current research on commonly used distributed computing frameworks neglects the difficulty of l...
Task Scheduling problem for heterogeneous systems is concerned with arranging the various tasks to b...
Static scheduling is the temporal and spatial mapping of a program to the resources of parallel syst...
Static scheduling is the temporal and spatial mapping of a program to the resources of parallel syst...
An algorithm has been developed to dynamically schedule heterogeneous tasks on to heterogeneous proc...
Efficient application scheduling is critical for achieving high performance in heterogeneous computi...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...
Complex problems consisting of interdependent subtasks are represented by a direct acyclic graph (DA...
An algorithm has been developed to dynamically schedule heterogeneous tasks on heterogeneous process...