Optimal Sleeping Mechanism for Multiple Servers With MMPP-Based Bursty Traffic Arrival

姜之源WCL

LANGUAGE English

SOURCE IEEE WIRELESS COMMUNICATIONS LETTERS, VOL. 7, NO. 3, JUNE 2018

Published Date:2018-06

ABSTRACT

A fundamental problem in green communications and networking is the operation of servers (routers or base
stations) with sleeping mechanism to optimize energy-delay tradeoffs. This problem is very challenging when considering realistic bursty (non-Poisson) traffic. We prove for the first time that the optimal structure of such a sleeping mechanism for multiple servers when the arrival of jobs is modeled by a bursty Markovmodulated Poisson process (MMPP). It is shown that the optimal operation, which determines the number of active (or sleeping) servers dynamically, is hysteretic and monotone, and hence, it is a queue-threshold-based policy. This letter settles a conjecture in the literature that the optimal sleeping mechanism for a single server with interrupted Poisson arrival process, which can be treated as a special case of MMPP, is queue-thresholdbased. The exact thresholds are given by numerically solving the Markov decision process.