Job scheduling in cloud computing plays a crucial role in optimizing resource utilization and
ensuring efficient job allocation. But cloud resources may be wasted, or service performance …

Multiserver-job systems, where jobs require concurrent service at many servers, occur
widely in practice. Essentially all of the theoretical work on multiserver-job systems focuses …

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 …

Abstract High-Performance Computing (HPC) is essential to support the advance in multiple
research and industrial fields. Despite the recent growth in processing and networking …

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 …

Job scheduling in high-performance computing platforms is a hard problem that involves
uncertainties on both the job arrival process and their execution times. Users typically …

The job scheduler plays a vital role in high-performance computing platforms. It determines
the execution order of the jobs and the allocation of resources, which in turn affect the …

Scheduling theory is a key tool for reducing latency (ie response time) in queueing systems.
Scheduling, ie choosing the order in which to serve jobs, can reduce response time by an …

A correct evaluation of scheduling algorithms and a good understanding of their optimization
criteria are key components of resource management in HPC. In this work, we discuss bias …

Ever since the advent of" multiserver jobs"(jobs that require more than one server or core
simultaneously), practitioners have been faced with the question of how to pack these jobs …