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2011
IEEE

LIFO-Backpressure achieves near optimal utility-delay tradeoff

9 years 2 months ago
LIFO-Backpressure achieves near optimal utility-delay tradeoff
There has been considerable recent work developing a new stochastic network utility maximization framework using Backpressure algorithms, also known as MaxWeight. A key open problem has been the development of utility-optimal algorithms that are also delay efficient. In this paper, we show that Backpressure, when combined with the LIFO queueing discipline (called LIFO-Backpressure), is able to achieve a utility that is within O(1/V ) of the optimal for any V ≥ 1, while maintaining an average delay of O([log(V )]2 ) for all but a tiny fraction of the network traffic. This result holds for general stochastic network optimization problems and general Markovian dynamics. Remarkably, the performance of LIFO-Backpressure can be achieved by simply changing the queueing discipline; it requires no other modifications of the original Backpressure algorithm. We validate the results through empirical measurements from a sensor network testbed, which show good match between theory and practic...
Longbo Huang, Scott Moeller, Michael J. Neely, Bha
Added 22 Aug 2011
Updated 22 Aug 2011
Type Journal
Year 2011
Where WIOPT
Authors Longbo Huang, Scott Moeller, Michael J. Neely, Bhaskar Krishnamachari
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