Parthasarathian Transient Solution of M/M/1 Queue Manifold: Info-Geometric Analysis and Applications to Machine Learning

Authors

  • Ismail A Mageed AIMMA, IEEE, IAENG, School of Computer Science, AI, and Electronics, Faculty of engineering and Digital, Technologies, ‎University of Bradford, United Kingdom. https://orcid.org/0000-0002-3691-0773

DOI:

https://doi.org/10.22105/opt.v1i2.60

Keywords:

Transient M/M/queueuing system 1, Information geometry, Statistical manifold, Queue manifold, Information geodesic equations of motion, Fisher information matrix, Inverse fisher information matrix, Machine learning

Abstract

By constructing the Fisher Information Matrix (FIM) and its inverse (IFIM), the current study provides an info-geometric characterization of the transient M/M/1 queue manifold. Furthermore, stability's effect on IFIM's existence and its investigation of the  Geodesic Equations (GEs)  of motion have been made clear. Potentially even more, the article highlights several info-geometric machine learning applications. This in essence would manifest the huge contributions provided by this paper, which would in turn open new plethora of unlimited opportunities to the exploration of new trends in machine learning. In closing, some difficult open problems are discussed along with the next stage of the research.

References

Mageed, I. A., Zhou, Y., Liu, Y., & Zhang, Q. (2023). Towards a revolutionary info-geometric control theory with potential applications of fokker planck kolmogorov (fpk) equation to system control, modelling and simulation [presentation]. 2023 28th international conference on automation and computing (icac) (pp. 1–6). https://doi.org/10.1109/ICAC57885.2023.10275271

Skoda, Z. (2019). Information geometry. https://ncatlab.org/nlab/show/information+geometry

Mageed, I. A., Zhang, Q., Akinci, T. C., Yilmaz, M., & Sidhu, M. S. (2022). Towards abel prize: the generalized brownian motion manifold’s fisher information matrix with info-geometric applications to energy works. 2022 global energy conference (GEC) (pp. 379–384). IEEE. DOI: 10.1109/GEC55014.2022.9987239

Mageed, I. A., Yin, X., Liu, Y., & Zhang, Q. (2023). Za,b of the stable five-dimensional M/G/1 queue manifold formalism’s info- geometric structure with potential info-geometric applications to human computer collaborations and digital twins. 28th international conference on automation and computing (ICAC) (pp. 1–6). IEEE. DOI: 10.1109/ICAC57885.2023.10275185

Nakagawa, K. (2002). The geometry of M/D/1 queues and Large Deviation. International transactions in operational research, 9(2), 213–222.

Peng, L., Sun, H., & Jiu, L. (2007). The geometric structure of the Pareto distribution. Boletin de la asociación matemática venezolana, 14(1–2), 5–13.

Dodson, C. T. J. (2005). Topics in information geometry. The University of Manchester.

Mageed, I. A., & Kouvatsos, D. D. (2019). Information geometric structure of stable M/G/1 queue manifold and its matrix exponential. 35th uk performance engineering workshop 16 december 2019 (p. 116). IEEE. https://www.researchgate.net/profile/Dr-Vijay-Singh-2/publication/340951179_proceedings/links/5ea70fb145851553fab34b07/proceedings.pdf#page=123

Mageed, I. A., & Kouvatsos, D. D. (2021). The impact of information geometry on the analysis of the stable M/G/1 queue manifold. ICORES (pp. 153–160). DOI: 10.5220/0010206801530160

Parthasarathy, P. R. (1987). A transient solution to an M/M/1 queue: a simple approach. Advances in applied probability, 19(4), 997–998.

Amari, S., Ozeki, T., Karakida, R., Yoshida, Y., & Okada, M. (2017). Dynamics of learning in MLP: Natural gradient and singularity revisited. Neural computation, 30(1), 1–33. https://bsi-ni.brain.riken.jp/database/file/349/349.pdf

Mageed, I. A., & Zhang, K. Q. (2022). Information geometry? exercises de styles. Electronic journal of computer science and information technology, 8(1), 9–14.

Eysenbach, B., Salakhutdinov, R., & Levine, S. (2021). The information geometry of unsupervised reinforcement learning. https://arxiv.org/abs/2110.02719

Gomes, E. D. C., Alberge, F., Duhamel, P., & Piantanida, P. (2022). Igeood: an information geometry approach to out-of-distribution detection. https://arxiv.org/abs/2203.07798

Published

2024-10-04

Issue

Section

Articles

How to Cite

A Mageed, I. . (2024). Parthasarathian Transient Solution of M/M/1 Queue Manifold: Info-Geometric Analysis and Applications to Machine Learning. Optimality, 1(2), 276-286. https://doi.org/10.22105/opt.v1i2.60

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