Since the resource has the characteristics of dynamics and heterogeneous, task scheduling becomes a very complex and challenging problem in the grid computing.
由于资源具有异构、动态等特性，计算网格环境下的调度就成了一个非常复杂且具有挑战性的问题。
Grid resource scheduling problem is proved to be an NP complete problem, and genetic algorithms are proved to be sharpen tools to solve NP-complete problem.
网格资源调度问题被证明是一个NP完全问题，而遗传算法是解决NP完全问题的锐利工具。
This paper investigates the idea of a completely distributed Grid resource model and task scheduling algorithm, which are based on task press, to solve this bottleneck problem.
论文提出了一种完全分布的网格资源管理模型，即在网格中没有任何全局的资源信息，同时提出了与此资源模型相适应的基于任务压力的网格任务调度算法。
Absrtact: an improved ant algorithm has been presented in order to solve the problem of task scheduling in the grid environment.
摘要：文中提出了一种以蚂蚁算法为基础的改进算法，用以解决网格环境下的任务调度问题。
Absrtact: Task scheduling algorithm has been proved to be a NP hard problem in the dynamic, heterogeneous and complicated grid environment.
摘要：在动态、异构的复杂网格环境中，任务调度算法已被证明是一个NP难问题。
Resource allocation and task scheduling of Grid is an NP-hard problem. Ant algorithm has proved to be a kind of effective algorithm to solve this kind of problems.
网格环境下的资源分配与调度是一个NP难问题，蚂蚁算法是解决这类问题的有效算法。
Firstly, it gives a briefly introduction to the task scheduling problem of the grid applications.
本文内容分为三个部分：首先，对网格资源调度问题作了简单的介绍；
The key technology to improve the grid system efficiency is the job scheduling algorithm, how integrate various factors to making the scheduling algorithm more comprehensive is a challenging problem.
提升网格系统调度效率的关键在于作业调度算法，如何综合各种因素使得调度策略更为全面是一个有挑战性的问题。
This paper promotes some ideas about solving the load-balancing problem for service scheduling in Grid middleware.
为在网格中间件中实现服务调度的负载平衡，提供了一些具有参考价值的解决方案。
This paper promotes some ideas about solving the load-balancing problem for service scheduling in Grid middleware.
为在网格中间件中实现服务调度的负载平衡，提供了一些具有参考价值的解决方案。
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