The resource management system is the central component of distributed network
computing systems. There have been many projects focused on network computing that …

Sažetak The distributed computing attempts to improve performance in large-scale
computing problems by resource sharing. Moreover, rising low-cost computing power …

The recent expansion of the Internet of Things (IoT) and the consequent explosion in the
volume of data produced by smart devices have led to the outsourcing of data to designated …

Recent workload trends indicate rapid growth in the deployment of machine learning,
genomics and scientific workloads on cloud computing infrastructure. However, efficiently …

This paper introduces FireWorks, a workflow software for running high‐throughput
calculation workflows at supercomputing centers. FireWorks has been used to complete …

Since 1984, the Condor project has enabled ordinary users to do extraordinary computing.
Today, the project continues to explore the social and technical problems of cooperative …

This paper addresses the problem of scheduling concurrent jobs on clusters where
application data is stored on the computing nodes. This setting, in which scheduling …

Grid technologies enable large-scale sharing of resources within formal or informal
consortia of individuals and/or institutions: what are sometimes called virtual organizations …

TetriSched is a scheduler that works in tandem with a calendaring reservation system to
continuously re-evaluate the immediate-term scheduling plan for all pending jobs (including …

Grid computing has become very popular in big and widespread scientific communities with
high computing demands, like high energy physics. Computing resources are being …