Abstract. Cloud computing is steadily gaining traction both in commercial and research worlds, and there seems to be significant potential to the HEP community as well. However, most of the tools used in the HEP community are tailored to the current computing model, which is based on grid computing. One such tool is glideinWMS, a pilot-based workload management system. In this paper we present both what code changes were needed to make it work in the cloud world, as well as what architectural problems we encountered and how we solved them. Benchmarks comparing grid, Magellan, and Amazon EC2 resources are also included
In the simplest way, cloud computing means classifying and getting data and programs over the Intern...
In recent years, the interest in both scientific and business workflows has increased. A workflow is...
Overview: Cloud technologies have matured quickly over the last couple of years and now provide an i...
Grid computing has become very popular in big and widespread scientific communities with high comput...
The thesis explores various practical approaches in making existing High Throughput computing applic...
ABSTRACT Cloud computing is emerging as an alternative computing platform to bridge the gap between ...
Computing requirements vary by industry, and it follows that NASA and other research organizations h...
CMS will require access to more than 125k processor cores for the beginning of Run 2 in 2015 to carr...
HPC applications are increasingly being used in academia and laboratories for scientific research an...
The Grid resources are distributed among hundreds of independent Grid sites, requiring a higher leve...
This project is divided into main 2 parts – cloud computing and GUI . The cloud server was deployed ...
Scientific and engineering applications require large number of calculations, to solve these calcula...
Cloud computing is emerging as a promising platform for compute and data intensive scientific applic...
The cloud computing paradigm allows scientists to elastically grow or shrink computing resources as ...
The advantages of pay-as-you-go model, elasticity, and the flexibility and customization offered by ...
In the simplest way, cloud computing means classifying and getting data and programs over the Intern...
In recent years, the interest in both scientific and business workflows has increased. A workflow is...
Overview: Cloud technologies have matured quickly over the last couple of years and now provide an i...
Grid computing has become very popular in big and widespread scientific communities with high comput...
The thesis explores various practical approaches in making existing High Throughput computing applic...
ABSTRACT Cloud computing is emerging as an alternative computing platform to bridge the gap between ...
Computing requirements vary by industry, and it follows that NASA and other research organizations h...
CMS will require access to more than 125k processor cores for the beginning of Run 2 in 2015 to carr...
HPC applications are increasingly being used in academia and laboratories for scientific research an...
The Grid resources are distributed among hundreds of independent Grid sites, requiring a higher leve...
This project is divided into main 2 parts – cloud computing and GUI . The cloud server was deployed ...
Scientific and engineering applications require large number of calculations, to solve these calcula...
Cloud computing is emerging as a promising platform for compute and data intensive scientific applic...
The cloud computing paradigm allows scientists to elastically grow or shrink computing resources as ...
The advantages of pay-as-you-go model, elasticity, and the flexibility and customization offered by ...
In the simplest way, cloud computing means classifying and getting data and programs over the Intern...
In recent years, the interest in both scientific and business workflows has increased. A workflow is...
Overview: Cloud technologies have matured quickly over the last couple of years and now provide an i...