Dimensioning and Capacity Planning Framework for Large Scale M2M Complex Event Processing

Machine to Machine (M2M) is one of the evolving technologies that is employed in many business verticals such as banking, automotive, security, healthcare, and manufacturing. M2M devices communicates with the backend applications through the telecom network in order to exchange information. As a result of the wide deployment of M2M devices, the telecom network generates a large number of events that represents the traffic data (uplink and downlink volumes, session duration, charging related information, etc.). Those events have to be processed (collected, correlated, aggregated, formatted, encoded) and distributed to the destination Business Support Systems (BSS) for billing and reporting purposes. The Complex Event Processing (CEP) system making such processing is called Convergent Mediation. With the increase of M2M deployment and traffic, careful capacity planning and dimensioning is required to early prevent any capacity problem. This work tackles this problem by proposing a framework for M2M capacity and dimensioning. It starts with the factors impacting the processing such as processing window then defines different processes and the resources required for those processes and how to make dimensioning for them.