{"title":"Simulative Performance Evaluation of Information Retrieval Systems","authors":"D. Geetha, G. K. Naidu, T. Kumar, K. R. Kanth","doi":"10.1109/AMS.2008.153","DOIUrl":null,"url":null,"abstract":"The information explosion across the Internet and elsewhere offers access to an increasing number of document collections. Retrieval system evaluation plays an important role in judging the efficiency and effectiveness of the retrieval process. Validating the performance of information retrieval systems provides assurance that a system as a whole is likely to meet its quantitative performance goals. In this paper, we describe procedure to calculate the response time early in the life cycle and simulate the performance metrics for an information retrieval system in different architectures namely, centralized and distributed. We consider different characterizations for the hardware resources' configurations and simulate the results for two different architectures of Information retrieval systems.","PeriodicalId":122964,"journal":{"name":"2008 Second Asia International Conference on Modelling & Simulation (AMS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Second Asia International Conference on Modelling & Simulation (AMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMS.2008.153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The information explosion across the Internet and elsewhere offers access to an increasing number of document collections. Retrieval system evaluation plays an important role in judging the efficiency and effectiveness of the retrieval process. Validating the performance of information retrieval systems provides assurance that a system as a whole is likely to meet its quantitative performance goals. In this paper, we describe procedure to calculate the response time early in the life cycle and simulate the performance metrics for an information retrieval system in different architectures namely, centralized and distributed. We consider different characterizations for the hardware resources' configurations and simulate the results for two different architectures of Information retrieval systems.