On the power of (even a little) resource pooling
We propose and analyze a multi-server model that captures a performance trade-off between centralized and distributed processing. In our model,a fraction <i>p</i> of an available resource is deployed in a centralized manner (e.g., to serve a most-loaded station) while the remaining fract...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute for Operations Research and the Management Sciences (INFORMS)
2012-01-01
|
Series: | Stochastic Systems |
Subjects: | |
Online Access: | http://www.i-journals.org/ssy/viewarticle.php?id=33&layout=abstract |