Entropy-Driven Cross-Layer Validation of Low-Latency, Energy-Efficient, and Secure Cloud Integrated Optical Broadband Access Networks

DOI

10.2991/978-94-6239-678-4_36How to use a DOI?

Keywords

Optical Access Networks; Cloud Integration; Energy-Efficient Networking; Low-Latency Systems; Adaptive Network Security; Process

Abstract

Under highly bursty traffic, dynamic cloud offloading, and heterogeneous trust needs, conventional access architectures have unpredictable latency, excessive power cycling, and strict security enforcement, lowering efficiency. Despite extensive research on optical scheduling, energy-aware control, and access-level security, most solutions disregard photonic microburst dynamics and cross-layer propagation effects and employ averaged traffic assumptions. These issues are addressed by a single, validation-centric analytical framework that models traffic dynamics, optical control, security enforcement, and cloud interaction sets causality. Five closely coupled approaches constitute a deterministic data-flow pipeline in the proposed system. First, utilizing entropy tensors to detect instability patterns ignored by normal load metrics, the PTMEP (Photonic–Traffic Microburst Entropy Profiler) quantifies sub-millisecond traffic disturbance to reduce latency collapse from energy savings, the ELCOG (Energy–Latency Co-Adaptive Optical Control Graph) optimizes laser states, buffering, and scheduling using a bi-objective control graph to reduce static encryption policy inefficiencies, the TWOSSE (the Trust-Weighted Optical Slice Security Engine) provides behavioral trust-based adaptive slice-level security modulation based on this stable operating state COPOSM (cloud offloading and propagation oscillation Suppression Module) offloads clouds from security control by suppressing oscillatory access–cloud traffic patterns with stability envelopes. Finally, COSVI (Cross Layer Sustainability Validator) validates deployments using a sustainability index based on performance, energy, and security data. This study prepares next-generation cloud validation by switching from metric aggregation to entropy-aware, cross-layer causality analysis.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Antimbala Marmat
AU  - Dolly Thankachan
PY  - 2026
DA  - 2026/05/28
TI  - Entropy-Driven Cross-Layer Validation of Low-Latency, Energy-Efficient, and Secure Cloud Integrated Optical Broadband Access Networks
BT  - Proceedings of the 2nd International Conference on Recent Advancement and Modernization in Sustainable Intelligent Technologies & Applications (RAMSITA-2026)
PB  - Atlantis Press
SP  - 451
EP  - 463
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-678-4_36
DO  - 10.2991/978-94-6239-678-4_36
ID  - Marmat2026
ER  -