{"title":"HPSF:一种水平分割的并行签名文件方法","authors":"Jeong-Ki Kim, Jae-Woo Chang","doi":"10.1109/ICAPP.1995.472242","DOIUrl":null,"url":null,"abstract":"In order to achieve good performance, the signature file approach has been required to support parallel database processing. Therefore, in this paper we propose a horizontally-divided parallel signature file method (HPSF) using extendible hashing and frame-slicing techniques. In addition, we propose a heuristic processor allocation methods so that we may assign signatures into a given number of processors in a uniform way. To show the efficiency of HPSF, we evaluate the performance of HPSF in terms of retrieval time, storage overhead, and insertion time. Finally, we show from the performance results that HPSF outperforms the conventional parallel signature file methods on retrieval performance as well as insertion time.<<ETX>>","PeriodicalId":448130,"journal":{"name":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"HPSF: a horizontally-divided parallel signature file method\",\"authors\":\"Jeong-Ki Kim, Jae-Woo Chang\",\"doi\":\"10.1109/ICAPP.1995.472242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to achieve good performance, the signature file approach has been required to support parallel database processing. Therefore, in this paper we propose a horizontally-divided parallel signature file method (HPSF) using extendible hashing and frame-slicing techniques. In addition, we propose a heuristic processor allocation methods so that we may assign signatures into a given number of processors in a uniform way. To show the efficiency of HPSF, we evaluate the performance of HPSF in terms of retrieval time, storage overhead, and insertion time. Finally, we show from the performance results that HPSF outperforms the conventional parallel signature file methods on retrieval performance as well as insertion time.<<ETX>>\",\"PeriodicalId\":448130,\"journal\":{\"name\":\"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAPP.1995.472242\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAPP.1995.472242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
HPSF: a horizontally-divided parallel signature file method
In order to achieve good performance, the signature file approach has been required to support parallel database processing. Therefore, in this paper we propose a horizontally-divided parallel signature file method (HPSF) using extendible hashing and frame-slicing techniques. In addition, we propose a heuristic processor allocation methods so that we may assign signatures into a given number of processors in a uniform way. To show the efficiency of HPSF, we evaluate the performance of HPSF in terms of retrieval time, storage overhead, and insertion time. Finally, we show from the performance results that HPSF outperforms the conventional parallel signature file methods on retrieval performance as well as insertion time.<>