Impact Analysis of Insufficient Destination Resources on VoIP Service Quality: Case Study
Mhd Indra Iskandar, Alexander Agung Santoso Gunawan · Procedia Computer Science · 2024
This research investigates the disruption caused by insufficient destination resources in Voice over Internet Protocol (VoIP) networks. The study is based on a case study of service disruptions at a Public Service Company (PSC) where the public experienced dropped calls. The research employs Ribbon Analytics, a big data analytics platform, to measure the concurrent session connection on the Session Initiation Protocol (SIP). The observation of the VoIP network followed a specific topology with 22 Session Border Controller (SBC) nodes, 2 Call Detail Record (CDR) servers, and 2 Ribbon Analytics (RA) devices. The results indicate that the call failure occurred because the number of sessions had reached the maximum limit. The solution proposed is to increase the number of sessions; however, this cannot be done immediately due to contractual constraints between the telecom operators and the PSC. An alternative solution is to provide a call answering machine managed by AI. Future work could also use text message in the form of chat prompts from AI. The study highlights the importance of big data analysis in identifying and resolving service disruptions in VoIP networks.