Affiliation:
1. Telefonica Research, Barcelona, Spain
Abstract
Large datacenter operators with sites at multiple locations dimension their key resources according to the peak demand of the geographic area that each site covers. The demand of specific areas follows strong diurnal patterns with high peak to valley ratios that result in poor average utilization across a day. In this paper, we show how to rescue unutilized bandwidth across multiple datacenters and backbone networks and use it for non-real-time applications, such as backups, propagation of bulky updates, and migration of data. Achieving the above is non-trivial since leftover bandwidth appears at different times, for different durations, and at different places in the world.
For this purpose, we have designed, implemented, and validated
NetStitcher
, a system that employs a network of storage nodes to stitch together unutilized bandwidth, whenever and wherever it exists. It gathers information about leftover resources, uses a store-and-forward algorithm to schedule data transfers, and adapts to resource fluctuations.
We have compared
NetStitcher
with other bulk transfer mechanisms using both a testbed and a live deployment on a real CDN. Our testbed evaluation shows that
NetStitcher
outperforms all other mechanisms and can rescue up to five times additional datacenter bandwidth thus making it a valuable tool for datacenter providers. Our live CDN deployment demonstrates that our solution can perform large data transfers at a much lower cost than naive end-to-end or store-and-forward schemes.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Software
Reference37 articles.
1. Amazon Simple Storage Service. aws.amazon.com/s3/. Amazon Simple Storage Service. aws.amazon.com/s3/.
2. Datacenter map. www.datacentermap.com/datacenters.html. Datacenter map. www.datacentermap.com/datacenters.html.
3. Equinix datacenter map. www.equinix.com/data-center-locations/map/. Equinix datacenter map. www.equinix.com/data-center-locations/map/.
4. Facebook Statistics. www.facebook.com/press/info.php?statistics. Facebook Statistics. www.facebook.com/press/info.php?statistics.
5. James Hamilton's blog: Inter-datacenter replication & geo-redundancy. perspectives.mvdirona.com/2010/05/10/InterDatacenterReplicationGeoRedundancy.aspx. James Hamilton's blog: Inter-datacenter replication & geo-redundancy. perspectives.mvdirona.com/2010/05/10/InterDatacenterReplicationGeoRedundancy.aspx.
Cited by
123 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. MCPR: Routing using parallel shortest paths;Journal of Communications and Networks;2024-06
2. EBB: Reliable and Evolvable Express Backbone Network in Meta;Proceedings of the ACM SIGCOMM 2023 Conference;2023-09
3. INVA: An Intelligent Network Virtualization Architecture for Big Data Platform;2023 9th International Conference on Big Data Computing and Communications (BigCom);2023-08-04
4. Large-Scale Measurements and Prediction of DC-WAN Traffic;IEEE Transactions on Parallel and Distributed Systems;2023-05
5. LINA: A Fair Link-Grained Inter-Datacenter Traffic Scheduling Method With Deadline Guarantee;IEEE Transactions on Cognitive Communications and Networking;2023-04