Abstract—In distributed computing environment, efficient task scheduling is essential to obtain high performance. A vital role of designing and development of task scheduling algorithms is to achieve better makes pan. Several task scheduling algorithms have been developed for homogeneous and heterogeneous distributed computing systems. In this paper, a new static task scheduling algorithm is proposed namely; Leveled DAG Critical Task First (LDCTF) that optimizes the performance of Leveled DAG Prioritized Task (LDPT) algorithm to efficiently schedule tasks on homogeneous distributed computing systems. LDPT was compared to B-level algorithm which is the most famous algorithm in homogeneous distributed systems and it provided better results. L...
In this paper, we propose a static scheduling algorithm for allocating task graphs to fully connecte...
We present an algorithm for scheduling precedence constrained parallel tasks on multiprocessors with...
Abstract 1 In this paper, we survey algorithms that allocate a parallel program represented by an ed...
Efficient task scheduling is essential to obtain high performance in distributed computing environme...
AbstractIn distributed computing, the schedule by which tasks are assigned to processors is critical...
The main objective of task scheduling is to assign tasks onto available processors with the aim of p...
In distributed computing, the schedule by which tasks are assigned to processors is critical to mini...
Efficient task scheduling is essential for obtaining high performance in heterogeneous distributed c...
Abstract—Efficient task scheduling is essential for obtaining high performance in heterogeneous dist...
Efficient application scheduling is critical for achieving high performance in heterogeneous computi...
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...
Task Scheduling problem for heterogeneous systems is concerned with arranging the various tasks to b...
Most current research on commonly used distributed computing frameworks neglects the difficulty of l...
A distributed Computing System (DCS) comprises a number of processing elements, connected by an inte...
In this paper, we propose a static scheduling algorithm for allocating task graphs to fully connecte...
We present an algorithm for scheduling precedence constrained parallel tasks on multiprocessors with...
Abstract 1 In this paper, we survey algorithms that allocate a parallel program represented by an ed...
Efficient task scheduling is essential to obtain high performance in distributed computing environme...
AbstractIn distributed computing, the schedule by which tasks are assigned to processors is critical...
The main objective of task scheduling is to assign tasks onto available processors with the aim of p...
In distributed computing, the schedule by which tasks are assigned to processors is critical to mini...
Efficient task scheduling is essential for obtaining high performance in heterogeneous distributed c...
Abstract—Efficient task scheduling is essential for obtaining high performance in heterogeneous dist...
Efficient application scheduling is critical for achieving high performance in heterogeneous computi...
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...
Task Scheduling problem for heterogeneous systems is concerned with arranging the various tasks to b...
Most current research on commonly used distributed computing frameworks neglects the difficulty of l...
A distributed Computing System (DCS) comprises a number of processing elements, connected by an inte...
In this paper, we propose a static scheduling algorithm for allocating task graphs to fully connecte...
We present an algorithm for scheduling precedence constrained parallel tasks on multiprocessors with...
Abstract 1 In this paper, we survey algorithms that allocate a parallel program represented by an ed...