{"title":"公共登记处和电子商务的数据查询功能的复杂性度量","authors":"V. Strahonja","doi":"10.1109/ITI.2002.1024653","DOIUrl":null,"url":null,"abstract":"A complex and extensible metric for data enquiry functions is needed to predict a system performance and to create an effective cost management policy for public registers and electronic commerce environments. This may be a significant undertaking. This article proposes an advanced complexity metric of data enquiry function. The advantage of the proposed method over standard methods used in pricing, such as counts of typical outputs, is that it can be applied on complex queries resulting in big data sets. The aim of the proposed method is also to calculate the effort required to create and disseminate required data output in complex and distributed systems.","PeriodicalId":420216,"journal":{"name":"ITI 2002. Proceedings of the 24th International Conference on Information Technology Interfaces (IEEE Cat. No.02EX534)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Complexity metric of data enquiry functions for public registers and electronic commerce\",\"authors\":\"V. Strahonja\",\"doi\":\"10.1109/ITI.2002.1024653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A complex and extensible metric for data enquiry functions is needed to predict a system performance and to create an effective cost management policy for public registers and electronic commerce environments. This may be a significant undertaking. This article proposes an advanced complexity metric of data enquiry function. The advantage of the proposed method over standard methods used in pricing, such as counts of typical outputs, is that it can be applied on complex queries resulting in big data sets. The aim of the proposed method is also to calculate the effort required to create and disseminate required data output in complex and distributed systems.\",\"PeriodicalId\":420216,\"journal\":{\"name\":\"ITI 2002. Proceedings of the 24th International Conference on Information Technology Interfaces (IEEE Cat. No.02EX534)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ITI 2002. Proceedings of the 24th International Conference on Information Technology Interfaces (IEEE Cat. No.02EX534)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITI.2002.1024653\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ITI 2002. Proceedings of the 24th International Conference on Information Technology Interfaces (IEEE Cat. No.02EX534)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITI.2002.1024653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Complexity metric of data enquiry functions for public registers and electronic commerce
A complex and extensible metric for data enquiry functions is needed to predict a system performance and to create an effective cost management policy for public registers and electronic commerce environments. This may be a significant undertaking. This article proposes an advanced complexity metric of data enquiry function. The advantage of the proposed method over standard methods used in pricing, such as counts of typical outputs, is that it can be applied on complex queries resulting in big data sets. The aim of the proposed method is also to calculate the effort required to create and disseminate required data output in complex and distributed systems.