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Related Experiment Video

Updated: Jul 12, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Published on: September 8, 2023

DLTN-LOSP: A Novel Deep-Linear-Transition-Network-Based Resource Allocation Model with the Logic Overhead Security

Divya Ramachandran¹, Syed Muhammad Naqi², Ganeshkumar Perumal³

¹Department of Information Technology, PSNA College of Engineering and Technology, Dindigul 624622, Tamil Nadu, India.

Sensors (Basel, Switzerland)

|October 28, 2023

Summary

This study introduces a novel cloud resource allocation model, the Deep Linear Transition Network (DLTN) with Logic Overhead Security Protocol (LOSP), for efficient and secure cloud management. The DLTN-LOSP model optimizes resource distribution, enhancing cloud performance and user satisfaction.

Keywords:

BAN logic adaptive Mongoose optimization algorithm (AMOA)cloud computing deep linear transition network (DLTN)logic overhead security protocol (LOSP)resource management security

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Area of Science:

Cloud Computing
Resource Management
Cybersecurity

Background:

Cloud environments face challenges managing vast data and resources due to rapid virtualization.
Ineffective resource management can degrade cloud computing performance and impact profitability and customer satisfaction.

Purpose of the Study:

To develop a novel cloud resource allocation model that integrates security management.
To ensure fair resource distribution without compromising profitability or customer satisfaction.

Main Methods:

Deep Linear Transition Network (DLTN) for resource allocation.
Adaptive Mongoose Optimization Algorithm (AMOA) for reward prediction and resource allocation support.
Logic Overhead Security Protocol (LOSP) with Burrows-Abadi-Needham (BAN) logic for secure resource management.

Main Results:

The DLTN-LOSP model demonstrated a makespan of 2.3% and a utilization rate of 13%.
Performance was validated against metrics like makespan, processing time, and utilization rate.
The proposed framework showed superior performance outcomes in system validation and testing.

Conclusions:

The DLTN-LOSP model effectively addresses cloud resource allocation challenges.
The integration of security management enhances overall cloud system performance.
The proposed framework offers a superior solution for secure and efficient cloud resource management.