A Trial Deployment of a Reliable Network-Multicast Application across Internet2

Yuanlong Tan, M. Veeraraghavan, Hwajung Lee, S. Emmerson, J. Davidson
{"title":"A Trial Deployment of a Reliable Network-Multicast Application across Internet2","authors":"Yuanlong Tan, M. Veeraraghavan, Hwajung Lee, S. Emmerson, J. Davidson","doi":"10.1109/INDIS51933.2020.00008","DOIUrl":null,"url":null,"abstract":"A continuing trend in many scientific disciplines is the growth in the volume of data collected by scientific instruments and the desire to rapidly and efficiently distribute this data to the scientific community. Transferring these large data sets to a geographically distributed research community consumes significant network bandwidth. As both the data volume and number of subscribers grows, reliable network multicast is a promising approach to reduce the rate of growth of the bandwidth needed to support efficient data distribution. In prior work, we identified a need for reliable network multicast: scientists engaged in atmospheric research subscribing to meteorological file-streams. Specifically, the University Cooperation Atmospheric Research (UCAR) uses the Local Data Manager (LDM) to disseminate data. This work describes a trial deployment of a multicast-enabled LDM, in which eight university campuses are connected via corresponding regional Research-and-Education Networks (RENs) and Internet2. Using this deployment, we evaluated the new version of LDM, LDM7, which uses network multicast with a reliable transport protocol, and leverages Layer-2 (L2) multipoint Virtual LAN (VLANIMPLS). A performance monitoring system was deployed to collect real-time performance of LDM7, which showed that our proof-of-concept prototype worked significantly better than the current production LDM, LDM6, in two ways: (i) LDM7 can distribute file streams faster than LDM6. With six subscribers, an almost 22-fold improvement was observed with LDM7 at 100 Mbps. And (ii) to achieve a similar performance, LDM7 significantly reduces the need for bandwidth, which reduced the bandwidth requirement by about 90% over LDM6 to achieve 20 Mbps average throughput across four subscribers.","PeriodicalId":394752,"journal":{"name":"2020 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIS51933.2020.00008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A continuing trend in many scientific disciplines is the growth in the volume of data collected by scientific instruments and the desire to rapidly and efficiently distribute this data to the scientific community. Transferring these large data sets to a geographically distributed research community consumes significant network bandwidth. As both the data volume and number of subscribers grows, reliable network multicast is a promising approach to reduce the rate of growth of the bandwidth needed to support efficient data distribution. In prior work, we identified a need for reliable network multicast: scientists engaged in atmospheric research subscribing to meteorological file-streams. Specifically, the University Cooperation Atmospheric Research (UCAR) uses the Local Data Manager (LDM) to disseminate data. This work describes a trial deployment of a multicast-enabled LDM, in which eight university campuses are connected via corresponding regional Research-and-Education Networks (RENs) and Internet2. Using this deployment, we evaluated the new version of LDM, LDM7, which uses network multicast with a reliable transport protocol, and leverages Layer-2 (L2) multipoint Virtual LAN (VLANIMPLS). A performance monitoring system was deployed to collect real-time performance of LDM7, which showed that our proof-of-concept prototype worked significantly better than the current production LDM, LDM6, in two ways: (i) LDM7 can distribute file streams faster than LDM6. With six subscribers, an almost 22-fold improvement was observed with LDM7 at 100 Mbps. And (ii) to achieve a similar performance, LDM7 significantly reduces the need for bandwidth, which reduced the bandwidth requirement by about 90% over LDM6 to achieve 20 Mbps average throughput across four subscribers.
跨Internet2可靠网络组播应用的试验部署
在许多科学学科中,一个持续的趋势是科学仪器收集的数据量的增长,以及迅速有效地将这些数据分发给科学界的愿望。将这些大型数据集传输到地理分布的研究社区需要消耗大量的网络带宽。随着数据量和用户数量的增长,可靠的网络多播是一种很有前途的方法,可以降低支持有效数据分发所需带宽的增长率。在之前的工作中,我们确定需要可靠的网络多播:从事大气研究的科学家订阅气象文件流。具体来说,大学合作大气研究(UCAR)使用本地数据管理器(LDM)来传播数据。这项工作描述了一个支持多播的LDM的试验部署,其中八个大学校园通过相应的区域研究与教育网络(RENs)和Internet2连接起来。使用这种部署,我们评估了LDM的新版本LDM7,它使用具有可靠传输协议的网络多播,并利用第2层(L2)多点虚拟局域网(VLANIMPLS)。部署了一个性能监控系统来收集LDM7的实时性能,结果表明,我们的概念验证原型在两个方面明显优于当前的生产LDM LDM6: (i) LDM7可以比LDM6更快地分发文件流。在6个用户中,使用100mbps的LDM7可以观察到将近22倍的改进。(ii)为了实现类似的性能,LDM7显著降低了对带宽的需求,这比LDM6减少了约90%的带宽需求,从而在四个用户之间实现20 Mbps的平均吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信