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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.
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.
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