PROOF on Demand

Malzacher, P.; Manafov, Anar

doi:10.1088/1742-6596/219/7/072009

Cited by 9 publications

(2 citation statements)

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“…PROOF on Demand (PoD) [4] is a toolchain capable of running PROOF without the need of static multiuser installations. PoD works either opportunistically, via SSH, or by submitting PROOF workers to a workload management system.…”

Section: Proof On Demandmentioning

confidence: 99%

PROOF as a Service on the Cloud: a Virtual Analysis Facility based on the CernVM ecosystem

Berzano

Blomer

Bunčić

et al. 2014

J. Phys.: Conf. Ser.

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PROOF, the Parallel ROOT Facility, is a ROOT-based framework which enables interactive parallelism for event-based tasks on a cluster of computing nodes. Although PROOF can be used simply from within a ROOT session with no additional requirements, deploying and configuring a PROOF cluster used to be not as straightforward. Recently great efforts have been spent to make the provisioning of generic PROOF analysis facilities with zero configuration, with the added advantages of positively affecting both stability and scalability, making the deployment operations feasible even for the end user. Since a growing amount of large-scale computing resources are nowadays made available by Cloud providers in a virtualized form, we have developed the Virtual PROOF-based Analysis Facility: a cluster appliance combining the solid CernVM ecosystem and PoD (PROOF on Demand), ready to be deployed on the Cloud and leveraging some peculiar Cloud features such as elasticity. We will show how this approach is effective both for sysadmins, who will have little or no configuration to do to run it on their Clouds, and for the end users, who are ultimately in full control of their PROOF cluster and can even easily restart it by themselves in the unfortunate event of a major failure. We will also show how elasticity leads to a more optimal and uniform usage of Cloud resources.

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Section: Proof On Demandmentioning

confidence: 99%

PROOF as a Service on the Cloud: a Virtual Analysis Facility based on the CernVM ecosystem

Berzano

Blomer

Bunčić

et al. 2014

J. Phys.: Conf. Ser.

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“…Alternatively, PROOF-Lite is a dedicated version of PROOF that takes advantage of multi-core machines, but is limited to a single host. Tools like PoD [2] or PROOF Cluster [3] free the user from the setup and configuration of the system by providing a dynamic construction of the PROOF infrastructure using a batch system. This integration of PROOF into existing production services forces the adaptation of the system to specific software configurations, which may not completely fulfill the requirements of the user.…”

Section: Introductionmentioning

confidence: 99%

Integrating PROOF Analysis in Cloud and Batch Clusters

Rodríguez-Marrero¹,

Caballero²,

Noriega³

et al. 2012

J. Phys.: Conf. Ser.

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High Energy Physics (HEP) analysis are becoming more complex and demanding due to the large amount of data collected by the current experiments. The Parallel ROOT Facility (PROOF) provides researchers with an interactive tool to speed up the analysis of huge volumes of data by exploiting parallel processing on both multicore machines and computing clusters. The typical PROOF deployment scenario is a permanent set of cores configured to run the PROOF daemons. However, this approach is incapable of adapting to the dynamic nature of interactive usage. Several initiatives seek to improve the use of computing resources by integrating PROOF with a batch system, such as Proof on Demand (PoD) or PROOF Cluster. These solutions are currently in production at Universidad de Oviedo and IFCA and are positively evaluated by users. Although they are able to adapt to the computing needs of users, they must comply with the specific configuration, OS and software installed at the batch nodes. Furthermore, they share the machines with other workloads, which may cause disruptions in the interactive service for users. These limitations make PROOF a typical usecase for cloud computing. In this work we take profit from Cloud Infrastructure at IFCA in order to provide a dynamic PROOF environment where users can control the software configuration of the machines. The Proof Analysis Framework (PAF) facilitates the development of new analysis and offers a transparent access to PROOF resources. Several performance measurements are presented for the different scenarios (PoD, SGE and Cloud), showing a speed improvement closely correlated with the number of cores used.

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Preliminary Data Classification in COMPASS Experiment Using HEP-Grid Tools

Pappa¹

2014

eScience on Distributed Computing Infrastructure

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PROOF on Demand

Cited by 9 publications

References 0 publications

PROOF as a Service on the Cloud: a Virtual Analysis Facility based on the CernVM ecosystem

PROOF as a Service on the Cloud: a Virtual Analysis Facility based on the CernVM ecosystem

Integrating PROOF Analysis in Cloud and Batch Clusters

Preliminary Data Classification in COMPASS Experiment Using HEP-Grid Tools

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