{"title":"Enhanced failure-specific p-cycle network dual-failure restorability design and optimization","authors":"Jude Akpuh, J. Doucette","doi":"10.1364/JON.8.000001","DOIUrl":null,"url":null,"abstract":"Following the approach of a prior integer linear programming network design model to provide specified dual-failure restorability levels, we develop a new model that allows for an enhanced dual-failure restorability approach. We observe that some dual-failure scenarios affecting a single p-cycle can, in fact, be partially restorable, contravening the typical understanding of p-cycle network restorability. We show that a p-cycle network that utilizes this enhanced dual-failure restorability can be designed more cost-effectively than one without it, saving as much as 20.01% in capacity design costs and averaging 7.93% over the test cases we studied.","PeriodicalId":49154,"journal":{"name":"Journal of Optical Networking","volume":"8 1","pages":"1-13"},"PeriodicalIF":0.0000,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1364/JON.8.000001","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Optical Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/JON.8.000001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
Following the approach of a prior integer linear programming network design model to provide specified dual-failure restorability levels, we develop a new model that allows for an enhanced dual-failure restorability approach. We observe that some dual-failure scenarios affecting a single p-cycle can, in fact, be partially restorable, contravening the typical understanding of p-cycle network restorability. We show that a p-cycle network that utilizes this enhanced dual-failure restorability can be designed more cost-effectively than one without it, saving as much as 20.01% in capacity design costs and averaging 7.93% over the test cases we studied.