{"title":"Performance evaluation of a multiprocessor SCP for intelligent network services","authors":"M. Ouellette, L. Orozco-Barbosa","doi":"10.1109/CCECE.1997.608364","DOIUrl":null,"url":null,"abstract":"In this paper we give a general description of the intelligent network (IN) and study a service control point (SCP) architecture in which multiple call processors participate to IN call/service processing. The SCP is the core physical entity of the IN architecture and is dedicated to process IN calls under stringent real-time requirements. We show, by means of simulations, that with the increasing complexity and amount of IN services stored in local disk-based databases, a variety of parameters and resources result in poor performance. The complexity of a service is described as the amount of service processing logic data required to complete an IN call. We also present some possible solutions in order to alleviate the poor performance when local disk-based databases are used.","PeriodicalId":359446,"journal":{"name":"CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.1997.608364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper we give a general description of the intelligent network (IN) and study a service control point (SCP) architecture in which multiple call processors participate to IN call/service processing. The SCP is the core physical entity of the IN architecture and is dedicated to process IN calls under stringent real-time requirements. We show, by means of simulations, that with the increasing complexity and amount of IN services stored in local disk-based databases, a variety of parameters and resources result in poor performance. The complexity of a service is described as the amount of service processing logic data required to complete an IN call. We also present some possible solutions in order to alleviate the poor performance when local disk-based databases are used.