Ensembles of distributed, heterogeneous resources, also known as computational grids,
have emerged as critical platforms for high-performance and resource-intensive …

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 …

Scientific workflows are used to model applications of high throughput computation and
complex large scale data analysis. In recent years, Cloud computing is fast evolving as the …

The preemptive real-time scheduling of sporadic parallel task systems is studied. We
present an algorithm, called gang EDF, which applies the earliest deadline first (EDF) policy …

As with any computer system, the performance of supercomputers depends upon the
workloads that serve as their input. Unfortunately, however, there are many important …

Cloud computing providers are now offering their unused resources for leasing in the spot
market, which has been considered the first step towards a full-fledged market economy for …

Cloud environments offer low-cost computing resources as a subscription-based service.
These resources are elastically scalable and dynamically provisioned. Furthermore, cloud …

User estimates of job runtimes have emerged as an important component of the workload on
parallel machines, and can have a significant impact on how a scheduler treats different …

The grid computing vision promises to provide the needed platform for a new and more
demanding range of applications. For this promise to become true, a number of hurdles …

Multiprocessor scheduling in a shared multiprogramming environment can be structured as
two-level scheduling, where a kernel-level job scheduler allots processors to jobs and a …