1st Invited talk by Scientific Commitee - LINCS Annual Workshop with its Scientific Committee

“The Multiserver Job Queuing Model” by Marco Ajmone Marsan (PoliTO, IT).
In most cases, queuing models assume one-dimensional services: each customer is served by one server for a random period of time. Today’s services are more complex: for example, jobs that run in cloud data centers need a variable number of CPUs and/or GPUs, as well as a variable amount of memory, and use those resources for a random period of time. The analysis of these contexts calls for queuing models with multi-dimensional services. Research in this area started very recently and results are scarce. This talk will consider the two-dimensional service case, and report on some recent results.
www.lincs.fr/2...