Use Remote Sensors to Collect Data Centre Performance Paramemers Based on Soa Model: Case Study of Airtel-ke

Abstract

The main purpose/aim of this study is to understand the feastibility of implementing remote sensors coupled with micro-processors to collect Data centre traffic based on the Service oriented architecture model, in Kenya, as observed from the second largest public land mobile network (PLMN) operator in Kenya by customer base. Mobile carriers need to collect data centre health traffic on a periodic basis, mostly hourly, to be guaranteed about uptime of these centres, and this need to be done in a cost-efficient manner. Through the use of remote censors, temperature and humidity performance traffic is collected, aggregated and corelated at a central location, in a secure manner, using service oriented architectural models. This operational model is expected to cut operational costs to a great extent when compared with alternative manual models, or semi-automated ones and fully automated systems based on SNMP. As technology continues to improve, more radio access technologies are being rolled out putting strain to data centre managers, to ensure uptime at all times. This research aims to look into the feastibility assessment of implementing remote sensors coupled with micro-processor technology to collect data from Airtel data centres, in Kenya, to the benefit of all stakeholders, and particularly network customers. Implementation of this technology is expected to really improve the operational cost efficiency of data centres, KPI management and at the same time increase visibility in real-time across operator data centres and traffic aggregation hubs, located in the country. KEY WORDS Networks, Micro-processors, Sensors, Distributed systems, Telecommunication, Telco, Mobile Network Operators (MNO)