Adaptation and Deployment of PanDA Task Management System for a Private Cloud Infrastructure

Research output

2 Citations (Scopus)

Abstract

Management of computational infrastructure is a complicated task which, often employs user workloads delivery across multiple clusters. Criteria for such tasks distribution may vary: priority, transport costs, utilization of data, node capabilities, etc. Such process happens to tasks devoted to the simulation and analysis of the results of high-energy physics experiments at CERN. For task distribution on massive data streams obtained during ATLAS experiment, “Production ANd Distributed Analysis system” (PanDA) was developed. It performs management of workloads delivery and execution in a geographically distributed cluster environment. This paper is devoted to the deployment of PanDA server in a private cluster setting. This paper presents architecture and its implementation that allows, to run and embed PanDA system into existing computational solutions. It consists of a container, that isolates PanDA server its dependencies and environment from other system processes and an embedded Web interface which sim
Original languageUndefined
Pages (from-to)438-447
JournalLecture Notes in Computer Science
Volume10408
Publication statusPublished - 2017
Externally publishedYes

Cite this

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title = "Adaptation and Deployment of PanDA Task Management System for a Private Cloud Infrastructure",
abstract = "Management of computational infrastructure is a complicated task which, often employs user workloads delivery across multiple clusters. Criteria for such tasks distribution may vary: priority, transport costs, utilization of data, node capabilities, etc. Such process happens to tasks devoted to the simulation and analysis of the results of high-energy physics experiments at CERN. For task distribution on massive data streams obtained during ATLAS experiment, “Production ANd Distributed Analysis system” (PanDA) was developed. It performs management of workloads delivery and execution in a geographically distributed cluster environment. This paper is devoted to the deployment of PanDA server in a private cluster setting. This paper presents architecture and its implementation that allows, to run and embed PanDA system into existing computational solutions. It consists of a container, that isolates PanDA server its dependencies and environment from other system processes and an embedded Web interface which sim",
keywords = "Grid computing User interface API Virtualization Deploying",
author = "Oleg Iakushkin and Daniil Malevanniy and Alexander Bogdanov and Olga Sedova",
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volume = "10408",
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journal = "Lecture Notes in Computer Science",
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publisher = "Springer",

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TY - JOUR

T1 - Adaptation and Deployment of PanDA Task Management System for a Private Cloud Infrastructure

AU - Iakushkin, Oleg

AU - Malevanniy, Daniil

AU - Bogdanov, Alexander

AU - Sedova, Olga

PY - 2017

Y1 - 2017

N2 - Management of computational infrastructure is a complicated task which, often employs user workloads delivery across multiple clusters. Criteria for such tasks distribution may vary: priority, transport costs, utilization of data, node capabilities, etc. Such process happens to tasks devoted to the simulation and analysis of the results of high-energy physics experiments at CERN. For task distribution on massive data streams obtained during ATLAS experiment, “Production ANd Distributed Analysis system” (PanDA) was developed. It performs management of workloads delivery and execution in a geographically distributed cluster environment. This paper is devoted to the deployment of PanDA server in a private cluster setting. This paper presents architecture and its implementation that allows, to run and embed PanDA system into existing computational solutions. It consists of a container, that isolates PanDA server its dependencies and environment from other system processes and an embedded Web interface which sim

AB - Management of computational infrastructure is a complicated task which, often employs user workloads delivery across multiple clusters. Criteria for such tasks distribution may vary: priority, transport costs, utilization of data, node capabilities, etc. Such process happens to tasks devoted to the simulation and analysis of the results of high-energy physics experiments at CERN. For task distribution on massive data streams obtained during ATLAS experiment, “Production ANd Distributed Analysis system” (PanDA) was developed. It performs management of workloads delivery and execution in a geographically distributed cluster environment. This paper is devoted to the deployment of PanDA server in a private cluster setting. This paper presents architecture and its implementation that allows, to run and embed PanDA system into existing computational solutions. It consists of a container, that isolates PanDA server its dependencies and environment from other system processes and an embedded Web interface which sim

KW - Grid computing User interface API Virtualization Deploying

M3 - статья

VL - 10408

SP - 438

EP - 447

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -