The main goal of grid task scheduling is to maximum its system throughput and to match the application's needs with the available computing resources.
网格调度追求的目标是在把可用资源调度给需要的应用任务的同时，使系统获得最高的吞吐率。
The purpose of the thesis is to provide a model of grid task scheduling based on mobile agent environment combined with thought of virtual organization.
目的是结合虚拟组织思想，给出在移动代理环境下的网格任务调度的模型。
The grid task scheduling is actually the process of mapping many tasks to many resources, which should not only satisfy the users, but also ensure the resource utilization.
网格任务调度的过程实际是完成任务到资源的映射，不仅要保证用户的需求，而且要能够合理的使用资源。
Task scheduling is one of grid core services.
任务调度是网格核心服务之一。
Task scheduling is an important component of grid computing system.
任务调度是网格计算系统的一个重要组成部分。
The complex resources and tasks in Grid computing environment make it very difficult to validate the methods of resource management and task scheduling.
网格环境中的资源情况和任务情况异常复杂，难以用实验测试各种资源管理和任务调度方法的有效性。
A two-level-loops scheduling model, based on mobile agent in grid environment, is composed of a grid task management center, grid resource nodes, grid users, and jobs.
网格环境下基于移动代理的两级环调度模型主要由网格任务管理中心、网格资源节点、网格用户、用户作业组成。
Task scheduling is an important part in Grid computing. As it has been proven to be NP-complete, it is adaptive to be solved by heuristics.
在网格计算中，任务调度是一个重要的组成部分，并被证明为NP完全问题，以启发式方法求解较为适合。
Because Grid resources lie in different geographical positions, managed by different organizations, and some resource may fail sometimes, task scheduling and load balancing are very complex.
由于网格资源通常是位于不同的地理位置，由不同的组织管理，加之系统可能发生故障，所以在大型网格环境中任务调度和负载均衡是一个非常复杂的问题。
However, the application of economic theory in the current grid is focused on resource management and task scheduling, rather than grid market trading platform.
然而，在当前的网格系统中，市场理论的应用主要聚焦于资源管理和任务调度，而非网格市场交易平台。
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。
The resource management is one of the core technology of the grid middleware realization while it includes the resource discovery, task scheduling as well as load balancing.
网格计算是下一代互联网的应用模式，资源管理是网格技术研究的核心任务之一，包含资源发现、任务调度和负载均衡。
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。
Considering the complexity and essentiality of the task scheduling, it becomes an important issue in the study field of the grid computing.
由于其复杂性及重要性，任务调度成为了网格计算研究领域的一个焦点。
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。
This paper expounds the modeling system structure in grid environment, explain the task deconstruction, communication protocol and scheduling algorithm in detail.
本文阐述了在网格环境下的建模体系结构，对任务解构、通信协议、调度算法等关键点做了详细说明。
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。
Comparing the task scheduling based on the military grid and common grid, a distinct characteristic is that the priority of some special tasks must be considered.
军用网格环境下的资源调度与一般网格环境下的资源调度相比较，一个明显的特点就是必须考虑一些特别任务的优先级。
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；
Based on the characteristics of resources in military grid, the mathematical model of task scheduling in military grid is established and is further formal defined.
针对军事配送的特点，以“等待损失”和运输成本最小化为目标，建立了问题的数学模型，并应用蚁群算法求解了这一问题。
Based on the characteristics of resources in military grid, the mathematical model of task scheduling in military grid is established and is further formal defined.
针对军事配送的特点，以“等待损失”和运输成本最小化为目标，建立了问题的数学模型，并应用蚁群算法求解了这一问题。
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