We study the logistics system of eukaryotic cells, whose warehouses are micron-scale "organelles" and whose trucks are 10-nanometer-scale "vesicles". Organelles form the nodes and vesicle fluxes form the edges of a transport graph.

In a reasonable topological space, large deviation estimates essentially deal with probabilities of events that are asymptotically (exponentially) small, and in a certain sense, quantify the rate of these decaying probabilities.

In many applications such as cloud computing, managing server farm resources etc. an incoming task or job has to be matched with an appropriate server in order to minimise the latency or blocking associated with the processing.

We provide a systematic method for solving general Principal-Agent problems.

Caching of popular content during off-peak hours is a strategy to reduce the network load during peak hours. We consider a model where multiple caches store pre-fetched content and when users request files, they are matched to caches based on the