{"title":"实时信息存储与检索系统的设计与实现","authors":"Steven J. Karpen","doi":"10.1145/800184.810471","DOIUrl":null,"url":null,"abstract":"Presented here is a paper on the “Design and Implementation of a Real Time (On Line) Information Storage and Retrieval System”. Guidance is given into the design and testing of a hashing function for a volatile set of alphanumeric keys. The interrelationship between the hashing function and the Information Storage and Retrieval (IS&R) System is examined with respect to design criteria. Finally the design of the IS&R System itself is presented in terms of an attempt to optimize the Input/Output (I/O) time versus disk and memory storage for a volatile set of records. Built into the IS&R System design is the flexibility to optimize the systems performance under both the ideal and worst case hashing function design or performance. Emphasis, in the design, is placed on the I/O time required in updating, or inquiring, the file for a matched record retrieval. The following techniques were combined to form the original IS&R System: data structures, directory (dictionary) concept, bit directories, link listing (chaining), hashing function, and minimization of disk head movement.\n The theory of the IS&R System is derived in general and is applicable to a variety of applications as long as the application possess the following requirements: a highly volatile set of records, a real time (or on line) retrieval requirement, difficulty in designing (or choosing) a hashing function due to the volatile set of keys, and heavy activity on updating, or inquiring, the file. Detailed algorithms of the system design are presented for this purpose.","PeriodicalId":126192,"journal":{"name":"ACM '71","volume":"33 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Design and Implementation of a Real Time Information Storage and Retrieval System\",\"authors\":\"Steven J. Karpen\",\"doi\":\"10.1145/800184.810471\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presented here is a paper on the “Design and Implementation of a Real Time (On Line) Information Storage and Retrieval System”. Guidance is given into the design and testing of a hashing function for a volatile set of alphanumeric keys. The interrelationship between the hashing function and the Information Storage and Retrieval (IS&R) System is examined with respect to design criteria. Finally the design of the IS&R System itself is presented in terms of an attempt to optimize the Input/Output (I/O) time versus disk and memory storage for a volatile set of records. Built into the IS&R System design is the flexibility to optimize the systems performance under both the ideal and worst case hashing function design or performance. Emphasis, in the design, is placed on the I/O time required in updating, or inquiring, the file for a matched record retrieval. The following techniques were combined to form the original IS&R System: data structures, directory (dictionary) concept, bit directories, link listing (chaining), hashing function, and minimization of disk head movement.\\n The theory of the IS&R System is derived in general and is applicable to a variety of applications as long as the application possess the following requirements: a highly volatile set of records, a real time (or on line) retrieval requirement, difficulty in designing (or choosing) a hashing function due to the volatile set of keys, and heavy activity on updating, or inquiring, the file. Detailed algorithms of the system design are presented for this purpose.\",\"PeriodicalId\":126192,\"journal\":{\"name\":\"ACM '71\",\"volume\":\"33 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM '71\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/800184.810471\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM '71","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/800184.810471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Implementation of a Real Time Information Storage and Retrieval System
Presented here is a paper on the “Design and Implementation of a Real Time (On Line) Information Storage and Retrieval System”. Guidance is given into the design and testing of a hashing function for a volatile set of alphanumeric keys. The interrelationship between the hashing function and the Information Storage and Retrieval (IS&R) System is examined with respect to design criteria. Finally the design of the IS&R System itself is presented in terms of an attempt to optimize the Input/Output (I/O) time versus disk and memory storage for a volatile set of records. Built into the IS&R System design is the flexibility to optimize the systems performance under both the ideal and worst case hashing function design or performance. Emphasis, in the design, is placed on the I/O time required in updating, or inquiring, the file for a matched record retrieval. The following techniques were combined to form the original IS&R System: data structures, directory (dictionary) concept, bit directories, link listing (chaining), hashing function, and minimization of disk head movement.
The theory of the IS&R System is derived in general and is applicable to a variety of applications as long as the application possess the following requirements: a highly volatile set of records, a real time (or on line) retrieval requirement, difficulty in designing (or choosing) a hashing function due to the volatile set of keys, and heavy activity on updating, or inquiring, the file. Detailed algorithms of the system design are presented for this purpose.