{"title":"Simulating Search Protocols in Large-Scale Dynamic Networks","authors":"S. Margariti, V. Dimakopoulos","doi":"10.1109/PDP.2016.74","DOIUrl":null,"url":null,"abstract":"Reproducing complex networks with features of real-life networks is exciting and challenging at the same time. Based on the popular Omnet++ discrete event simulator, we introduce Armonia, a framework for modeling massive networks and their dynamic interactions. It includes a collection of topology generators, a set of resource placement and replication modules, a component for specifying resource location strategies, while also offering support for exporting data in order to visualize or analyze with other appropriate tools. Our framework targets search protocols in large-scale dynamic networks. Here, we apply it to simulate various probabilistic flooding strategies, making a comparative study of their performance over different network topologies.","PeriodicalId":192273,"journal":{"name":"2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDP.2016.74","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Reproducing complex networks with features of real-life networks is exciting and challenging at the same time. Based on the popular Omnet++ discrete event simulator, we introduce Armonia, a framework for modeling massive networks and their dynamic interactions. It includes a collection of topology generators, a set of resource placement and replication modules, a component for specifying resource location strategies, while also offering support for exporting data in order to visualize or analyze with other appropriate tools. Our framework targets search protocols in large-scale dynamic networks. Here, we apply it to simulate various probabilistic flooding strategies, making a comparative study of their performance over different network topologies.