Abstract Multiserver-job (MSJ) systems, where jobs need to run concurrently across many
servers, are increasingly common in practice. The default service ordering in many settings …

Cloud computing today is dominated by multi-server jobs. These are jobs that request
multiple servers simultaneously and hold onto all of these servers for the duration of the job …

Multiserver queueing systems are found at the core of a wide variety of practical systems.
Many important multiserver models have a previously-unexplained similarity: identical mean …

A great deal of queueing theory is devoted to studying multiserver models, such as the
M/G/n. A key feature of such models is that each job runs on a single server. Unfortunately …

In this paper we study a simultaneous service multiserver system which we call speed-
scaling supercomputer, where speed-scaling is used to address the performance/power …

In this study, we investigate a real-time system where computationally intensive tasks are
executed using cloud computing platforms in data centers. These data centers are designed …

Multiserver jobs, which are jobs that occupy multiple servers simultaneously during service,
are prevalent in today's computing clusters. But little is known about the delay performance …

We consider the classic problem of preemptively scheduling jobs of unknown size (aka
service time) in a queue to minimize mean number-in-system, or equivalently mean …

Modern data centers feature an extensive array of cores that handle quite a diverse range of
jobs. Recent traces, shared by leading cloud data center enterprises like Google and …

We consider a multiserver queue where jobs request for a varying number of servers for a
random service time. The requested number of servers is assigned to each job following a …