Analysis and Adaptive Control of a Discrete-Time Single-Server Network with Random Routing
Abstract
This paper considers a discrete-time system composed of K infinite capacity queues that compete for the use of a single server. Customers arrive in i.i,d batches and are served according to a server allocation policy. Upon completing service, customers either leave the system or are routed instantaneously to another queue according to some random mechanism. As an alternative to simply randomized strategies, a policy based on a stochastic approximation algorithm is proposed to drive a long-run average cost to a given value. The underlying motivation can be traced back to implementation issues associated with constrained optimal strategies.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1989
- Accession Number
- ADA452634
Entities
People
- Adam Shwartz
- Armand M. Makowski
Organizations
- University of Maryland