Continuity of a queueing integral representation in the ${M}_{\mathbf{1}}$ topology

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Published in at http://dx.doi.org/10.1214/09-AAP611 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Inst

Scientific paper

10.1214/09-AAP611

We establish continuity of the integral representation $y(t)=x(t)+\int_0^th(y(s)) ds$, $t\ge0$, mapping a function $x$ into a function $y$ when the underlying function space $D$ is endowed with the Skorohod $M_1$ topology. We apply this integral representation with the continuous mapping theorem to establish heavy-traffic stochastic-process limits for many-server queueing models when the limit process has jumps unmatched in the converging processes as can occur with bursty arrival processes or service interruptions. The proof of $M_1$-continuity is based on a new characterization of the $M_1$ convergence, in which the time portions of the parametric representations are absolutely continuous with respect to Lebesgue measure, and the derivatives are uniformly bounded and converge in $L_1$.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Continuity of a queueing integral representation in the ${M}_{\mathbf{1}}$ topology does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Continuity of a queueing integral representation in the ${M}_{\mathbf{1}}$ topology, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Continuity of a queueing integral representation in the ${M}_{\mathbf{1}}$ topology will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-567922

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.