It then self-limits its bandwidth usage and distributesthe bandwidth among its apps and devices according to theirrelative priorities. Our solutionis centered on smart home gateways that allocate bandwidthin a two-level hierarchy: first, a gateway purchases guaranteedbandwidth from the Internet Service Provider (ISP) with virtualcredits. MMind Your Own Bandwidth: An Edge Solution toPeak-hour Broadband Congestionįelix Ming Fai Wong ∗, Carlee Joe-Wong ∗, Sangtae Ha †, Zhenming Liu ∗, Mung Chiang ∗∗ Princeton University, Princeton, NJ, USA † University of Colorado, Boulder, CO, USA, Abstract -Motivated by recent increases in network traffic, wepropose a decentralized network edge-based solution to peak-hour broadband congestion that incentivizes users to moderatetheir bandwidth demands to their actual needs. Compared to a baseline equal sharing algorithm, our solution significantly improves users' overall satisfaction and yields a fair allocation of bandwidth across users.
We demonstrate our system's effectiveness and practicality with theoretical analysis, simulations and experiments on real traffic. To this end, we design a credit allocation and redistribution mechanism for the first level, and implement our gateways on commodity wireless routers for the second level. It then self-limits its bandwidth usage and distributes the bandwidth among its apps and devices according to their relative priorities. Our solution is centered on smart home gateways that allocate bandwidth in a two-level hierarchy: first, a gateway purchases guaranteed bandwidth from the Internet Service Provider (ISP) with virtual credits.
Motivated by recent increases in network traffic, we propose a decentralized network edge-based solution to peak-hour broadband congestion that incentivizes users to moderate their bandwidth demands to their actual needs.
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