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Transition time asymptotics of queue-based activation protocols in random-access networks
- Source :
- Stochastic Processes and their Applications, 130(12), 7483-7517. Elsevier
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- We consider networks where each node represents a server with a queue. An active node deactivates at unit rate. An inactive node activates at a rate that depends on its queue length, provided none of its neighbors is active. For complete bipartite networks, in the limit as the queues become large, we compute the average transition time between the two states where one half of the network is active and the other half is inactive. We show that the law of the transition time divided by its mean exhibits a trichotomy, depending on the activation rate functions.<br />32 pages
- Subjects :
- Activation protocols
Metastability
Random-access networks
Transition time
Statistics and Probability
One half
Applied Mathematics
Probability (math.PR)
010102 general mathematics
Topology
01 natural sciences
010104 statistics & probability
60K25, 60K30, 90B15, 90B18
Modeling and Simulation
FOS: Mathematics
Bipartite graph
0101 mathematics
Queue
Mathematics - Probability
Random access
Trichotomy (mathematics)
Mathematics
Subjects
Details
- ISSN :
- 03044149
- Volume :
- 130
- Database :
- OpenAIRE
- Journal :
- Stochastic Processes and their Applications
- Accession number :
- edsair.doi.dedup.....e0b5abe0c9918f8c4abb1c9cde11a181
- Full Text :
- https://doi.org/10.1016/j.spa.2020.08.004