Assessment and analysis of NAS-GSM gateway fusion for voice data archiving via UC Infrastructure
Arshdeep Singh Veer, Sushil Bhardwaj · Multidisciplinary Science Journal · 2024
This paper focuses on the performance analysis of integrating Network Attached Storage (NAS) with a GSM Gateway to store voice call recordings in a Unified Communication (UC) environment. The current research builds upon the findings and methodologies established in a previous publication from the broader research project., which aims to eliminate the necessity of storing voice call recordings on the UC server. The existing research has primarily concentrated on the integration process, but there has been a lack of investigation into an unexamined performance gap. This study seeks to fill this gap by conducting a comprehensive analysis of the performance metrics of such an integrated system. The experimental setup includes the Open-Source Elastix UC platform, an AMD Sempron processor, a Zyxel NAS540 4-bay storage device and an EasyPhone GOIP GSM Gateway. Evaluation criteria include data privacy, server load, and network load. Performance metrics for data privacy include access control levels, data redundancy, remote access, hardware failure, RAID configuration, encryption, and dependency. Metrics for server load include CPU usage percentage, memory/RAM usage, and local storage. Network load metrics include throughput, latency, congestion, security, and isolation. The research demonstrates increased data privacy through the secure storage of recordings on NAS compared to the UC server. The server load is reduced and CPU and memory usage are lower by offloading storage tasks to the NAS. The increased network load does not impair overall network performance due to the use of a separate NAS gateway. This research is necessary as it offers methods to enhance UC environments, enabling secure, efficient, and scalable voice call recording storage. Key findings include improved access control and encryption measures for data privacy, reduced CPU and memory usage under server load, and maintained network performance despite increased load.