Abstract
In this paper, we will develop a tool to analyze polling systems with the autonomous-server, the time-limited, and the k-limited service discipline. It is known that these disciplines do not satisfy the well-known branching property in polling system, therefore, hardly any exact result exists in the literature for them. Our strategy is to apply an iterative scheme that is based on relating in closed-form the joint queue-length at the beginning and the end of a server visit to a queue. These kernel relations are derived using the theory of absorbing Markov chains. Finally, we will show that our tool works also in the case of a tandem queueing network with a single server that can serve one queue at a time.
Original language | English |
---|---|
Title of host publication | VALUETOOLS 2008 - 3rd International Conference on Performance Evaluation Methodologies and Tools |
Publisher | ICST |
ISBN (Print) | 9789639799318 |
DOIs | |
State | Published - 2008 |
Externally published | Yes |
Publication series
Name | VALUETOOLS 2008 - 3rd International Conference on Performance Evaluation Methodologies and Tools |
---|---|
Volume | 2008-October |
Bibliographical note
Publisher Copyright:© 2008 ICST.
Keywords
- Absorbing Markov chains
- Autonomous-server discipline
- Iterative scheme
- Matrix analytic solution
- Performance analysis
- Polling system
- Time-limited discipline
- k-limited discipline
ASJC Scopus subject areas
- Instrumentation