{"title":"可靠虚拟网络的能量感知映射","authors":"Victor Lira, E. Tavares","doi":"10.1109/PATMOS.2015.7347602","DOIUrl":null,"url":null,"abstract":"Network virtualization has been pointed out as a promising technique to tackle Internet's current ossification and to mitigate sustainability issues related to energy consumption. A critical issue is the virtual network embedding (VNE), due to the NP-hard nature of the problem. Thus, several heuristics have been proposed aiming to achieve efficient allocations. In this paper, we extend the VNE problem to consider dependability and energy consumption issues, utilizing an approach based on GRASP metaheuristic. Experimental results demonstrate energy savings obtained with the proposed approach over representative VNE techniques. The results also present a trade-off between energy consumption, availability and cost.","PeriodicalId":325869,"journal":{"name":"2015 25th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Energy-aware mapping for dependable virtual networks\",\"authors\":\"Victor Lira, E. Tavares\",\"doi\":\"10.1109/PATMOS.2015.7347602\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Network virtualization has been pointed out as a promising technique to tackle Internet's current ossification and to mitigate sustainability issues related to energy consumption. A critical issue is the virtual network embedding (VNE), due to the NP-hard nature of the problem. Thus, several heuristics have been proposed aiming to achieve efficient allocations. In this paper, we extend the VNE problem to consider dependability and energy consumption issues, utilizing an approach based on GRASP metaheuristic. Experimental results demonstrate energy savings obtained with the proposed approach over representative VNE techniques. The results also present a trade-off between energy consumption, availability and cost.\",\"PeriodicalId\":325869,\"journal\":{\"name\":\"2015 25th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 25th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PATMOS.2015.7347602\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 25th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PATMOS.2015.7347602","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy-aware mapping for dependable virtual networks
Network virtualization has been pointed out as a promising technique to tackle Internet's current ossification and to mitigate sustainability issues related to energy consumption. A critical issue is the virtual network embedding (VNE), due to the NP-hard nature of the problem. Thus, several heuristics have been proposed aiming to achieve efficient allocations. In this paper, we extend the VNE problem to consider dependability and energy consumption issues, utilizing an approach based on GRASP metaheuristic. Experimental results demonstrate energy savings obtained with the proposed approach over representative VNE techniques. The results also present a trade-off between energy consumption, availability and cost.