{"title":"Understanding the Performance and Bottlenecks of Cloud-Routed Overlay Networks: A Case Study","authors":"Franck Le, E. Nahum, D. Kandlur","doi":"10.1145/3010079.3012013","DOIUrl":"https://doi.org/10.1145/3010079.3012013","url":null,"abstract":"Studies have shown that overlay networks can significantly improve network performance; and with their large global footprint and flexible virtual machines offering, cloud service providers offer the new unique capability for users to easily and quickly create their own overlay networks. However, can an overlay network, built on a cloud service provider infrastructure, actually improve network performance, and if so by how much? These questions are critical given that existing studies have relied on high-speed experimental academic networks, but similar available opportunities for performance improvement have not been established in the public Internet. As such, to answer these questions, we deploy an overlay on top of the IBM Softlayer infrastructure, and conduct a number of measurements using multiple clients situated across the world. In contrast to previous studies, we observe that simple forwarding frequently does not improve performance by much, and provides at best 13% improvement on average. However, we show that a TCP overlay, can provide up to 184% improvement in bandwidth for downloads, and 228% improvement for uploads. Also, we find that in our cloud overlay network, the limiting bottleneck in network performance is actually not the overlay itself, but the Internet path to get to the overlay. These results have direct implications on the overlay design. More specifically, multi-hop indirection does not provide further improvement to single-hop indirection.","PeriodicalId":286425,"journal":{"name":"Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121005190","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":"Hybrid Cloud Integration of Routing Control & Data Planes","authors":"P. K. Dey, M. Yuksel","doi":"10.1145/3010079.3010085","DOIUrl":"https://doi.org/10.1145/3010079.3010085","url":null,"abstract":"The Internet's routing infrastructure has always faced challenges due to flexibility needs originating from policy-driven path rules and scalability needs of an ever-growing number of control and data traffic. Recent Software-Defined Networking (SDN) designs elegantly separated the control plane from data plane and offered flexibility in path rule making, but various scalability issues emerged. Exploring a spectrum of designs, we propose a hybrid SDN routing architecture where cloud systems will keep most of the control plane functions and local router will keep the least of it while for data plane it will be vice versa. We highlight a hybrid separation where data plane partially resides in remote cloud while discussing the necessary and sufficient conditions to avoid possible loops.","PeriodicalId":286425,"journal":{"name":"Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114993963","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":"How Close to the Edge?: Delay/Utilization Trends in MEC","authors":"F. Malandrino, Scott Kirkpatrick, C. Chiasserini","doi":"10.1145/3010079.3010080","DOIUrl":"https://doi.org/10.1145/3010079.3010080","url":null,"abstract":"Virtually all of the rapidly increasing data traffic consumed by mobile users requires some kind of processing, normally performed at cloud servers. A recent thrust, mobile edge computing, moves such processing to servers within the cellular mobile network. The large temporal and spatial variations to which mobile data usage is subject could make the reduced latency that edge clouds offer come at an unacceptable cost in redundant and underutilized infrastructure. We present some first empirical results on this question, based on large scale sampled crowd-sourced traces from several major cities spanning multiple operators and identifying the applications in use. We find opportunities to obtain both high server utilization and low application latency, but the best approaches will depend on the individual network operator's deployment strategy and geographic specifics of the cities we study.","PeriodicalId":286425,"journal":{"name":"Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116919104","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}