Left AESOP in August 2013.
Performance analysis has always suffered from the state-space explosion problem which directly prohibits the scalability of stochastic modelling as a tool for resolving resource provisioning and quality of service questions. This is especially true when applied to the recent ubiquitous breed of massively parallel distributed and peer-to-peer systems.
My research focuses on scalable asymptotic techniques based around functional laws of large numbers such as so-called fluid and mean-field analysis. In a similar vein to classical heavy-traffic analysis in the context of queueing networks, and also borrowing from ideas in chemistry and biology, these approaches have recently experienced something of a revival in the context of more general massive interacting computational systems such as might be specified formally using a stochastic process algebra or stochastic Petri nets.