
doi: 10.1109/mic.2014.43
Cloud content providers must deliver vast amounts of data to an ever-growing number of users while maintaining responsive performance, thus increasing bandwidth-provisioning expenditures. To mitigate this problem, the authors transparently integrate BitTorrent into the cloud provider infrastructure and leverage users' upstream capacity to reduce bandwidth costs. They also allocate seeder bandwidth optimally among swarms to maximize throughput. Their system delivers higher performance when dealing with large volumes of data compared to the traditional client-server paradigm. The authors' solution has been integrated with OpenStack, a widely used open source platform for cloud services, to provide a personal cloud storage system.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
