Software aging and multifractality of memory resources
@article{Shereshevsky2003SoftwareAA, title={Software aging and multifractality of memory resources}, author={Mark Shereshevsky and John I. Crowell and Bojan Cukic and Vijai Gandikota and Yan Liu}, journal={2003 International Conference on Dependable Systems and Networks, 2003. Proceedings.}, year={2003}, pages={721-730} }
We investigate the dynamics of monitored memory resource utilizations in an operating system under stress using quantitative methods of fractal analysis. In the experiments, we recorded the time series representing various memory related parameters of the operating system. We observed that parameters demonstrate clear multifractal behavior. The degree of fractality of these time series tends to increase as the system workload increases. We conjecture that the H¨ older exponent that measures the…
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References
SHOWING 1-10 OF 26 REFERENCES
A methodology for detection and estimation of software aging
- Computer ScienceProceedings Ninth International Symposium on Software Reliability Engineering (Cat. No.98TB100257)
- 1998
A distributed data collection tool used to collect operating system resource usage and system activity data at regular intervals, from networked UNIX workstations and proposes a metric: "estimated time to exhaustion", which is calculated using well known slope estimation techniques.
A measurement-based model for estimation of resource exhaustion in operational software systems
- Computer ScienceProceedings 10th International Symposium on Software Reliability Engineering (Cat. No.PR00443)
- 1999
A measurement-based model is proposed to estimate the rate of exhaustion of operating system resources both as a function of time and the system workload state, and a semi-Markov reward model is constructed based on workload and resource usage data collected from the UNIX operating system.
On the self-similar nature of Ethernet traffic
- Computer ScienceSIGCOMM '93
- 1993
We demonstrate that Ethernet local area network (LAN) traffic is statistically self-similar, that none of the commonly used traffic models is able to capture this fractal behavior, and that such…
On the self-similar nature of Ethernet traffic (extended version)
- Computer ScienceTNET
- 1994
Demonstrates that Ethernet LAN traffic is statistically self-similar, that none of the commonly used traffic models is able to capture this fractal-like behavior, that such behavior has serious…
Age-related alterations in the fractal scaling of cardiac interbeat interval dynamics.
- MedicineThe American journal of physiology
- 1996
The age-related loss of fractal organization in heartbeat dynamics may reflect the degradation of integrated physiological regulatory systems and may impair an individual's ability to adapt to stress.
Proactive management of software aging
- Computer ScienceIBM J. Res. Dev.
- 2001
This group has developed techniques that detect the occurrence of software aging due to resource exhaustion, estimate the time remaining until the exhaustion reaches a critical level, and automatically perform proactive software rejuvenation of an application, process group, or entire operating system.
Large Deviations and the Distribution of Price Changes
- Mathematics
- 1997
The Multifractal Model of Asset Returns ("MMAR," see Mandelbrot, Fisher, and Calvet, 1997) proposes a class of multifractal processes for the modelling of financial returns. In that paper,…
Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule
- Computer ScienceProceedings. 2000 Pacific Rim International Symposium on Dependable Computing
- 2000
The software rejuvenation models are formulated via the semi-Markov processes, and the optimalSoftware rejuvenation schedules which maximize the system availabilities are derived analytically for respective cases.
Detection of abrupt changes: theory and application
- Computer Science
- 1993
A unified framework for the design and the performance analysis of the algorithms for solving change detection problems and links with the analytical redundancy approach to fault detection in linear systems are established.
Revealing local variability properties of human heartbeat intervals with the local effective Hölder exponent
- Medicine
- 2000
A moving average filtering of H\"older exponent based variability estimates was used to enhance these fluctuations and it is found that this way of local presentation of scaling properties may be of clinical importance.