题目内容
The grid computing is a new (66) technology connecting the distributed and (67) resources to the high-speed network and integrating a super-computer of processing capacity. The significance and architecture of the grid computing is explained. Several kernel technology such as OGSI, resource management, task management, task scheduling, high rate communication and security are described. Aiming at the particularity of the grid computing environment a mechanism similar to the technology of the search engine is designed to registry, discovery and (68) the resources in the grid. The whole model of the resource management is built by connecting task manager in the local resource management system to others with P2P model. The task may migrate among the task managers in order to (69) the load. The task users summit may be executed in relatively tight resource set, which will not only decrease the total communication overheads of the whole task but also (70) the performance of the system. （70）处填（）。
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物业管理绿化的基本要求有( )。
设有关系模式只(C，P，S，G，T，W)，各属性含义为：C课程，P老师，S学生，G成绩，T时间，W教室，其函数依赖集为：F=C→P,(S，C)→G，(T，W)→C，(T，P)→W，(T，S)→W则关系模式的关键字为 (35) ，R的规范化程度最高可达到 (36) 。若将R分解为关系模式组R1 (C，P)，R2(S，C，G)，R3(S，T，W，C)，则R1，R2，R3的规范化程度最高分别可达到 (37) ， (38) ， (39) 。 （36）处填（）。
设有关系模式只(C，P，S，G，T，W)，各属性含义为：C课程，P老师，S学生，G成绩，T时间，W教室，其函数依赖集为：F=C→P,(S，C)→G，(T，W)→C，(T，P)→W，(T，S)→W则关系模式的关键字为 (35) ，R的规范化程度最高可达到 (36) 。若将R分解为关系模式组R1 (C，P)，R2(S，C，G)，R3(S，T，W，C)，则R1，R2，R3的规范化程度最高分别可达到 (37) ， (38) ， (39) 。 （35）处填（）。
WWW is popular for its multimedia transmission and friendly (71) . Although the speed of network has been improved considerably in recent years, the rapid (72) of using the Internet, the inherited character of delay in the network and the Request/Response working mode of WWW still make the Internet traffic very (73) and give no guarantee on the Quality of Service. Because HTTP has no states, the web server cannot know the users’ demand and the users’ requests cannot be predicted Taking advantage of a cache mechanism and the time locality of WWW accesses, the browser can preserve the documents ever accessed in the local machine. By this means, for the documents in the local cache, the browser does not need to send the requests to the remote server or to receive the whole responses from the remote one Pre-fetching uses the space locality of accesses First, the users’ access requests are predicted according to the users’ current request. Secondly, the expected pages are fetched into the local cache when the user is brow sing the current page. Finally, the users can access these pages downloaded from the local cache. And this can reduce the access delay to some degrees. Pre-fetching is one kind of active caches that can cache the pages which are still not requested by the user. The application of pre-fetching technology in the web can greatly reduce the waiting time after users have sent their requests. This paper brings forward an intelligent technique of web pre-fetching, which can speed up fetching web pages. In this technique, we use a simplified WWW data model to represent the data in the cache of web browser to mine the association rules. We store these rules in a knowledge base so as to (74) the user’s actions. In the client sides, the agents are responsible for mining the users’ interest and pre-fetching the web pages, which are based on the interest association repository. Therefore it is (75) for the users to speed up the browsing. （75）处填（）。
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