We present a scalable garbage collection scheme for systems that store objects at multiple servers while clients run transactions on locally cached copies of objects. It is the fi...
We consider the problem of dynamically indexing temporal observations about a collection of objects, each observation consisting of a key identifying the object, a list of attribu...
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
We describe and evaluate a multi-objective optimisation (MOO) algorithm that works within the Probability Collectives (PC) optimisation framework. PC is an alternative approach to ...
PMOS is an incremental garbage collector designed specifically to reclaim space in a persistent object store. It is complete in that it will, after a finite number of invocations,...
David S. Munro, Alfred L. Brown, Ronald Morrison, ...