Name
Abstract | ||
|---|---|---|
Garbage collection is a fundamental component of memory management in several software frameworks. We present a general two-dimensional Markovian model of a queue with garbage collection where the input process is Markov-modulated and the memory consumption can be modeled with discretisation. We derive important performance measures (also including garbage collection-related measures like mean garbage collection cycle length). The model is validated via measurements from a real-life data processing pipeline. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-61428-1_8 | ANALYTICAL AND STOCHASTIC MODELLING TECHNIQUES AND APPLICATIONS, ASMTA 2017 |
Keywords | Field | DocType |
Memory management,Garbage collection,Stochastic modelling,Markovian modelling | Data processing,Garbage,Markov process,Computer science,Queue,Real-time computing,Memory management,Stochastic modelling,Garbage collection,Software framework,Distributed computing | Conference |
Volume | ISSN | Citations |
10378 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 13 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Illés Horváth | 1 | 7 | 6.54 |
| István Finta | 2 | 0 | 0.34 |
| Ferenc Kovács | 3 | 45 | 8.27 |
| András Mészáros | 4 | 4 | 2.49 |
| Roland Molontay | 5 | 1 | 3.08 |
| Krisztián Varga | 6 | 0 | 0.68 |