Multi-core processors have been the mainstream in computer architecture. It also provides the enhancement of the parallelism degree of multiple tasks. An emerged challenge is how to schedule the multiple tasks to the cores for high efficiency. In this paper, a novel task scheduling algorithm is proposed for multi-core systems. This algorithm is based on optimized particle swarm algorithm, which is used to find the optimal solution for the task scheduling. The experimental results have showed that the proposed algorithm can improve the efficiency of task scheduling for multi-core systems
Real-time systems are reactive systems which should meet major constraints in scheduling tasks like ...
Optimizing the scheduling of tasks in a distributed heterogeneous computing environment is a nonline...
Nowadays scheduling problems are raised in areas like industry, academic, health care, production an...
Multi-core processors have been the mainstream in computer architecture. It also provides the enhanc...
So many studies have been done in order to execute all the tasks in real-time scheduler systems. How...
Abstract: Grid computing is a high performance computing environment to solve larger scale computati...
Energy consumption in computer systems has become a more and more important issue. High energy consu...
Job Scheduling in a Multiprocessor architecture is an extremely difficult NP hard problem, because i...
This paper presents a Hybrid Particle Swarm Optimization (HPSO) method for solving the Task Assignme...
AbstractCloud computing is an emerging computing paradigm with a large collection of heterogeneous a...
Algorithms exist to schedule various tasks in real time cloud environment. Nowadays many researchers...
International Conference on Computational Science and its Applications, ICCSA 2007, Kuala Lumpur, 26...
Particle Swarm Optimization (PSO) is a metaheuristic algorithm applied to optimize many cloud-comput...
The common problem of multiprocessor scheduling can be defined as allocating a task graph in a multi...
In this paper, the influence of the dynamic task scheduling process is examined. Out-of-Order (OoO) ...
Real-time systems are reactive systems which should meet major constraints in scheduling tasks like ...
Optimizing the scheduling of tasks in a distributed heterogeneous computing environment is a nonline...
Nowadays scheduling problems are raised in areas like industry, academic, health care, production an...
Multi-core processors have been the mainstream in computer architecture. It also provides the enhanc...
So many studies have been done in order to execute all the tasks in real-time scheduler systems. How...
Abstract: Grid computing is a high performance computing environment to solve larger scale computati...
Energy consumption in computer systems has become a more and more important issue. High energy consu...
Job Scheduling in a Multiprocessor architecture is an extremely difficult NP hard problem, because i...
This paper presents a Hybrid Particle Swarm Optimization (HPSO) method for solving the Task Assignme...
AbstractCloud computing is an emerging computing paradigm with a large collection of heterogeneous a...
Algorithms exist to schedule various tasks in real time cloud environment. Nowadays many researchers...
International Conference on Computational Science and its Applications, ICCSA 2007, Kuala Lumpur, 26...
Particle Swarm Optimization (PSO) is a metaheuristic algorithm applied to optimize many cloud-comput...
The common problem of multiprocessor scheduling can be defined as allocating a task graph in a multi...
In this paper, the influence of the dynamic task scheduling process is examined. Out-of-Order (OoO) ...
Real-time systems are reactive systems which should meet major constraints in scheduling tasks like ...
Optimizing the scheduling of tasks in a distributed heterogeneous computing environment is a nonline...
Nowadays scheduling problems are raised in areas like industry, academic, health care, production an...