{"title":"SustainMe if you can:大数据可持续传输网络设计","authors":"Bing Luo, William Liu, A. Al-Anbuky","doi":"10.1109/INFCOMW.2016.7562084","DOIUrl":null,"url":null,"abstract":"the recent development of Information and Communications Technology (ICT) has contributed to an explosive growth of high-volume, high-velocity and high-variety information assets. Consequently, the concept of Big Data has emerged as a widely recognized trend. In order to accommodate these data-intensive services, a sustainable and resilient network infrastructure is essentially needed, as well as some mission-critical transactions are to be assured in the big data environments. However, there is an inherent contradiction involved in simultaneously accommodating both service resilience by over-provision of network resources as well as sustainable transmission by switching off the unnecessary network elements to minimize the overall energy consumption. In this paper, we propose a sustainable transmission network design (SustainMe) approach to enable the routing algorithms seeking the trade-off solutions between service resiliency and energy efficiency. The simulation results have confirmed that SustainMe approach is feasible and its derived routing algorithm for shared backup protection, i.e., SustainMe_SBP is a promising mechanism to resolve above trade-off problem. It consumes much less capacity by only sacrificing a small increase on energy expenditure comparing with other approaches.","PeriodicalId":348177,"journal":{"name":"2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SustainMe if you can: Sustainable transmission networking design for Big Data\",\"authors\":\"Bing Luo, William Liu, A. Al-Anbuky\",\"doi\":\"10.1109/INFCOMW.2016.7562084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"the recent development of Information and Communications Technology (ICT) has contributed to an explosive growth of high-volume, high-velocity and high-variety information assets. Consequently, the concept of Big Data has emerged as a widely recognized trend. In order to accommodate these data-intensive services, a sustainable and resilient network infrastructure is essentially needed, as well as some mission-critical transactions are to be assured in the big data environments. However, there is an inherent contradiction involved in simultaneously accommodating both service resilience by over-provision of network resources as well as sustainable transmission by switching off the unnecessary network elements to minimize the overall energy consumption. In this paper, we propose a sustainable transmission network design (SustainMe) approach to enable the routing algorithms seeking the trade-off solutions between service resiliency and energy efficiency. The simulation results have confirmed that SustainMe approach is feasible and its derived routing algorithm for shared backup protection, i.e., SustainMe_SBP is a promising mechanism to resolve above trade-off problem. It consumes much less capacity by only sacrificing a small increase on energy expenditure comparing with other approaches.\",\"PeriodicalId\":348177,\"journal\":{\"name\":\"2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFCOMW.2016.7562084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOMW.2016.7562084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SustainMe if you can: Sustainable transmission networking design for Big Data
the recent development of Information and Communications Technology (ICT) has contributed to an explosive growth of high-volume, high-velocity and high-variety information assets. Consequently, the concept of Big Data has emerged as a widely recognized trend. In order to accommodate these data-intensive services, a sustainable and resilient network infrastructure is essentially needed, as well as some mission-critical transactions are to be assured in the big data environments. However, there is an inherent contradiction involved in simultaneously accommodating both service resilience by over-provision of network resources as well as sustainable transmission by switching off the unnecessary network elements to minimize the overall energy consumption. In this paper, we propose a sustainable transmission network design (SustainMe) approach to enable the routing algorithms seeking the trade-off solutions between service resiliency and energy efficiency. The simulation results have confirmed that SustainMe approach is feasible and its derived routing algorithm for shared backup protection, i.e., SustainMe_SBP is a promising mechanism to resolve above trade-off problem. It consumes much less capacity by only sacrificing a small increase on energy expenditure comparing with other approaches.