Subject: PhD Studentship in Server log analytics, Newcastle University, UK PhD studentship: Large Scale Server Log Analytics Sponsored by School of Mathematics & Statistics and Red Hat Inc. Modern software architecture utilises components distributed over multiple networked systems, each of which generates activity logs as it runs. Analysis of these logs can e.g. reveal usage profiles, identify performance bottlenecks, assist with capacity planning and help predict failures. Particular challenges exist in large scale software systems, as the volume of log data may be widely distributed and may exceed the processing capacity of a single machine. Several applications of the data may further require that the analysis run quickly in order to produce results within an actionable time window. This project will focus on the application of statistical analysis techniques to large scale log data, with particular attention to the practicality of the algorithms for applicable data volume and time constraints. Please see the web advert: http://www.ncl.ac.uk/postgraduate/funding/search/list/ms003 for further details, and for information on how to apply. The deadline for applications is 11th June 2012. -- Prof D J Wilkinson [log in to unmask] http://www.staff.ncl.ac.uk/d.j.wilkinson/ You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.