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For multi- tasking, multi- channel parallel crawler technology research

Author: LiXueKai
Tutor: LiBin
School: Harbin Institute of Technology
Course: Computer Science and Technology
Keywords: Search Engine Task Assignment Web site by Information Extraction Distributed File System
CLC: TP391.3
Type: Master's thesis
Year: 2009
Downloads: 71
Quote: 0
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Internet information produced by its autonomy, information dissemination , access convenience, breadth of geographical coverage , combined with low operating and maintenance costs , since the mid- 1990s, large-scale development has rapidly become the government, business , education, entertainment and a series of important social events hosted platform . Internet security is becoming increasingly important , a typical non-traditional security . For traditional search engines can not provide customized services as well as data updates slow defects , the paper developed and implemented to provide a highly customized according to user needs organizational resources to support multi-channel access to information technology, information on demand , timely access platform . Unlike traditional search engines is only one global big task , the system under different users need to handle a variety of tasks issued . Each user only interested in a few sites , and real-time requirements are relatively high , in a specific period of time , the need for frequent target site crawl . The system studied is a multi-task management and allocation of parallel reptiles, mission objectives often contain multiple sites, and the task start time, the next time the task can be set , multiple supervisory tasks they may need to be concerned with a website . In order to improve task parallelism, the system will be split into more fine-grained task fragmentation manage assigned tasks , while using the Hash algorithm provides consistency reptiles task allocation, the algorithm makes it possible load between reptiles equal, while the maximum Increase limit reduced server tasks when fragmentation redistribution . For different sources of data , this paper uses a multi-channel technology, according to the characteristics of each data source , customize different analytical solutions . The paper also analyzes the traditional way search engines assign tasks and problems , and then depending on the system , this paper proposes a new method for finer granularity than the traditional task distribution sites divided . The allocation of a larger scale is cut into a number of smaller sites subset and a subset of the nodes to a number of parallel crawlers crawl crawler system to speed up the overall acquisition rate as effectively optimize the traditional methods .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
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