在传统的网格服务中，网格节点由管理服务器指派给特定的任务和给定的工作，在Gearman中与此不同，是由工人请求做工作。
Unlike in a traditional grid service, where the grid nodes are designated for a particular task and given work by a management server, in Gearman, workers instead ask for work to do.
这意味着必须随需增加以occi管理的、附有Hadoop任务跟踪器和数据节点的虚拟机。
This means that OCCI-managed virtual machines with Hadoop's Task Trackers and Data Nodes must be added on-demand.
新的节点分组功能，允许管理员将节点进行分类，并指派计算任务。
Node grouping allows administrators to categorize and batch operations on compute nodes.
这将新队列管理器的构建和部署任务分离，并支持节点的早期测试和验证。
This separates the build and deploy tasks for new queue managers and enables early testing and verification of nodes.
VisualStudio 2005为创建Web服务和 Web方法提供类似支持，尽管用于这些任务的菜单选项公开在资源管理器树上的不同节点上。
Visual Studio 2005 provides similar support to create Web services and Web methods, although the menu options for these are exposed on different nodes on the explorer tree.
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。
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.
同时完善了用户界面。针对默认各个计算节点均能完成任务的问题，本文通过监控各个节点所负担作业的运行进度和设定作业时间阈值来管理作业运行。
For the problem of acquiescing in each calculation node for completing tasks, we manage job allocation through monitoring operational progress at each node and setting time threshold value.
节点需要基于网格的安全机制和内部管理机制，本文提出了循环优先级比的任务调度算法和基于这种算法的任务组织结构。
Node needs Grid-based security and internal managing mechanisms. In this thesis a tasks scheduling algorithm is also presented based on priorities and multiply queue.
目前研究的动态任务调度算法都基于集中式或部分分布式网格系统，系统中心节点(组)进行资源管理。
A dynamic scheduling algorithms studied in references are based on centralized grid system or part-distributed grid system, in which there are center node (s) to manage resources.
目前研究的动态任务调度算法都基于集中式或部分分布式网格系统，系统中心节点(组)进行资源管理。
A dynamic scheduling algorithms studied in references are based on centralized grid system or part-distributed grid system, in which there are center node (s) to manage resources.
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