THE FLUID LIMIT OF A HEAVILY LOADED PROCESSOR SHARING QUEUE
By H. Christian Gromoll, Amber L. Puha, Ruth J. Williams. 2002
88 citations recorded by the source corpus.
Subfields: Management Information Systems, Management Science and Operations Research, Mathematical Physics
View Paper: https://www.semanticscholar.org/paper/90ddf3a6a0781d48d1832f7d5d4f099cc4b7769c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
In Management Science and Operations Research
- Kavita Ramanan
- Haya Kaspi
- H. Christian Gromoll
- Weining Kang
- Josh E. Reed
- Radosław Adamczak
- Daniel Paulin
In Mathematical Physics
- Kavita Ramanan
- Haya Kaspi
- H. Christian Gromoll
- Weining Kang
- Josh E. Reed
- Daniel Paulin
- Radosław Adamczak
Citations in the corpus
- Law of large numbers limits for many-server queues (2007, methodology): “In the context of single-server queueing networks, there have been several recent works that have used measure-valued processes to study fluid limits (see [3, 6, 7] and references therein).”
- Diffusion approximation for a processor sharing queue in heavy traffic (2004, methodology): “We note that the definition of the state descriptor given here is equivalent to the formulation in [6].”