{"title":"Simulative performance comparison of network selection algorithms in the framework of the 802.21 standard","authors":"I. Bisio, S. Delucchi, F. Lavagetto, M. Marchese","doi":"10.4304/jnw.10.01.51-59","DOIUrl":"https://doi.org/10.4304/jnw.10.01.51-59","url":null,"abstract":"The diffusion of mobile devices, equipped by many different network interfaces, offers great benefits to mobile communications, in particular in the field of the so called Intelligent Transportation System (ITS). At the same time, the development of the IEEE 802.21 standard, that facilitates the interoperability between different access networks, assures further performance improvements. In this scenario, the network selection, that consists in determining the best Radio Access Network (RAN) among a set of available heterogeneous links, plays a fundamental role. The main contribution of this paper is a performance comparison among different network selection algorithms, within the framework proposed by the 802.21 standard. This performance comparison is obtained through a simulator developed by using Network Simulator 2 (ns-2).","PeriodicalId":126696,"journal":{"name":"2013 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117122206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identity matching in social media platforms","authors":"Reza Soltani, A. Abhari","doi":"10.32920/ryerson.14660694.v1","DOIUrl":"https://doi.org/10.32920/ryerson.14660694.v1","url":null,"abstract":"Identity matching is crucial in many scenarios such as profile integration, identity resolution, data enrichment, forensic sciences and national security. In this paper we propose a novel solution for finding and matching profiles of a single person among Facebook, Linkedin and Twitter social platforms. In our proposed framework we look beyond the simple profile attributes such as name and location and consider users' online shared material and social relationships. We utilize custom string matching algorithms, natural language processing and other web APIs to analyze and compare the profiles. Profiles with the similarity value above a threshold are considered matches.","PeriodicalId":126696,"journal":{"name":"2013 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128026833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}