Abstract
Stochastic Processing Networks (SPNs) [24] are ubiquitous in engineering with applications in Data Centers (eg. packet routing), Telecommunication (eg. call centers), Transportation, etc. Stochastic Matching Networks (SMNs) are newly emerging variation of SPNs where 'jobs' and 'servers' arrive in the system and are matched using a decision rule. SMNs have applications in Online matching markets (eg. uber platform), Healthcare (eg. kidney transplant), Quantum Networks, Assemble-to-order (eg. manufacturing plants) and many other crucial problems. The aim of my research is to design provably efficient decision-making policies for Stochastic Processing Networks (SPNs) and Stochastic Matching Networks (SMNs) and develop analytical tools to obtain performance guarantees on their throughput and delay.
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