{"title":"Evaluation of converged networks for 5G infrastructures","authors":"A. Tzanakaki, M. Anastasopoulos, D. Simeonidou","doi":"10.1109/RNDM.2015.7324301","DOIUrl":null,"url":null,"abstract":"This paper focuses on a next generation ubiquitous converged infrastructure in accordance to the 5G model, to support cloud and mobile cloud computing services. This infrastructure interconnects fixed and mobile end users with data centres through a heterogeneous network integrating optical and wireless network domains. Virtualization across all technology domains is adopted and the virtual infrastructures are planned using a modelling framework based on Non-Linear Programming. Our modeling results identify trends and trade-offs relating to end-to-end delays and energy consumption levels including also resilience considerations.","PeriodicalId":248916,"journal":{"name":"2015 7th International Workshop on Reliable Networks Design and Modeling (RNDM)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Workshop on Reliable Networks Design and Modeling (RNDM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RNDM.2015.7324301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper focuses on a next generation ubiquitous converged infrastructure in accordance to the 5G model, to support cloud and mobile cloud computing services. This infrastructure interconnects fixed and mobile end users with data centres through a heterogeneous network integrating optical and wireless network domains. Virtualization across all technology domains is adopted and the virtual infrastructures are planned using a modelling framework based on Non-Linear Programming. Our modeling results identify trends and trade-offs relating to end-to-end delays and energy consumption levels including also resilience considerations.