Classification of Network State Using Data Mining |
The emergence of new transport technologies coupled with deregulation and
Singh H, Thornton KEB, Bull PD
privatisation has contributed to the contiguous growth of telecommunications
networks particularly in terms of both the intricacy and size of the
network. The rapid growth in network size, and intricacy, is of a concern to
those who are involved in Network Management - particularly those involved
with network operation, administration, maintenance and provisioning (OAM&P)
functions. The integration of the evolving and emerging technologies, and
systems, with legacy systems provides additional concerns for those
endeavouring to ensure availability of the network resources particularly
those required to meet agreed Service Level Agreements (SLAs). In this
paper, we discuss the potential use of Data Mining algorithms and
techniques, for classifying the Network State, and hence whether SLAs are
being met, by analysing performance indicative data collected from networks
using the Synchronous Digital Hierarchy (SDH) as an exemplar underlying
transmission system.