Exploring the use of hybrid HPC-grids/clouds infrastructure for science and engineering

Hyunjoo Kim, Yaakoub El-Khamra, Shantenu Jha, Manish Parashar

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Significant investments and technological advances have established highperformance computational (HPC) Grid 1 infrastructures as dominant platforms for large-scale parallel/distributed computing in science and engineering. Infrastructures such as the TeraGrid, EGEE and DEISA integrate highend computing and storage systems via high-speed interconnects, and support traditional, batch-queue-based computationally and data intensive highperformance applications. More recently, Cloud services have been playing an increasingly important role in computational research, and are poised to become an integral part of computational research infrastructures. Clouds support a different although complementary provisioning modes as compared to HPC Grids - one that is based on on-demand access to computing utilities, an abstraction of unlimited computing resources, and a usage-based payment mode where users essentially “rent” virtual resources and pay for what they use. Underneath these Cloud services are consolidated and virtualized data centers that provide virtual machine (VM) containers hosting applications from large numbers of distributed users.

Original languageEnglish (US)
Title of host publicationCloud Computing
Subtitle of host publicationMethodology, Systems, and Applications
PublisherCRC Press
Pages583-611
Number of pages29
ISBN (Electronic)9781439856420
ISBN (Print)9781439856413
DOIs
StatePublished - Jan 1 2017

Fingerprint

Distributed computer systems
Containers
Virtual machine

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Kim, H., El-Khamra, Y., Jha, S., & Parashar, M. (2017). Exploring the use of hybrid HPC-grids/clouds infrastructure for science and engineering. In Cloud Computing: Methodology, Systems, and Applications (pp. 583-611). CRC Press. https://doi.org/10.1201/b11149
Kim, Hyunjoo ; El-Khamra, Yaakoub ; Jha, Shantenu ; Parashar, Manish. / Exploring the use of hybrid HPC-grids/clouds infrastructure for science and engineering. Cloud Computing: Methodology, Systems, and Applications. CRC Press, 2017. pp. 583-611
@inbook{c2ecca9be3b74877b611dc29c53de149,
title = "Exploring the use of hybrid HPC-grids/clouds infrastructure for science and engineering",
abstract = "Significant investments and technological advances have established highperformance computational (HPC) Grid 1 infrastructures as dominant platforms for large-scale parallel/distributed computing in science and engineering. Infrastructures such as the TeraGrid, EGEE and DEISA integrate highend computing and storage systems via high-speed interconnects, and support traditional, batch-queue-based computationally and data intensive highperformance applications. More recently, Cloud services have been playing an increasingly important role in computational research, and are poised to become an integral part of computational research infrastructures. Clouds support a different although complementary provisioning modes as compared to HPC Grids - one that is based on on-demand access to computing utilities, an abstraction of unlimited computing resources, and a usage-based payment mode where users essentially “rent” virtual resources and pay for what they use. Underneath these Cloud services are consolidated and virtualized data centers that provide virtual machine (VM) containers hosting applications from large numbers of distributed users.",
author = "Hyunjoo Kim and Yaakoub El-Khamra and Shantenu Jha and Manish Parashar",
year = "2017",
month = "1",
day = "1",
doi = "10.1201/b11149",
language = "English (US)",
isbn = "9781439856413",
pages = "583--611",
booktitle = "Cloud Computing",
publisher = "CRC Press",

}

Kim, H, El-Khamra, Y, Jha, S & Parashar, M 2017, Exploring the use of hybrid HPC-grids/clouds infrastructure for science and engineering. in Cloud Computing: Methodology, Systems, and Applications. CRC Press, pp. 583-611. https://doi.org/10.1201/b11149

Exploring the use of hybrid HPC-grids/clouds infrastructure for science and engineering. / Kim, Hyunjoo; El-Khamra, Yaakoub; Jha, Shantenu; Parashar, Manish.

Cloud Computing: Methodology, Systems, and Applications. CRC Press, 2017. p. 583-611.

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Exploring the use of hybrid HPC-grids/clouds infrastructure for science and engineering

AU - Kim, Hyunjoo

AU - El-Khamra, Yaakoub

AU - Jha, Shantenu

AU - Parashar, Manish

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Significant investments and technological advances have established highperformance computational (HPC) Grid 1 infrastructures as dominant platforms for large-scale parallel/distributed computing in science and engineering. Infrastructures such as the TeraGrid, EGEE and DEISA integrate highend computing and storage systems via high-speed interconnects, and support traditional, batch-queue-based computationally and data intensive highperformance applications. More recently, Cloud services have been playing an increasingly important role in computational research, and are poised to become an integral part of computational research infrastructures. Clouds support a different although complementary provisioning modes as compared to HPC Grids - one that is based on on-demand access to computing utilities, an abstraction of unlimited computing resources, and a usage-based payment mode where users essentially “rent” virtual resources and pay for what they use. Underneath these Cloud services are consolidated and virtualized data centers that provide virtual machine (VM) containers hosting applications from large numbers of distributed users.

AB - Significant investments and technological advances have established highperformance computational (HPC) Grid 1 infrastructures as dominant platforms for large-scale parallel/distributed computing in science and engineering. Infrastructures such as the TeraGrid, EGEE and DEISA integrate highend computing and storage systems via high-speed interconnects, and support traditional, batch-queue-based computationally and data intensive highperformance applications. More recently, Cloud services have been playing an increasingly important role in computational research, and are poised to become an integral part of computational research infrastructures. Clouds support a different although complementary provisioning modes as compared to HPC Grids - one that is based on on-demand access to computing utilities, an abstraction of unlimited computing resources, and a usage-based payment mode where users essentially “rent” virtual resources and pay for what they use. Underneath these Cloud services are consolidated and virtualized data centers that provide virtual machine (VM) containers hosting applications from large numbers of distributed users.

UR - http://www.scopus.com/inward/record.url?scp=84873127015&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84873127015&partnerID=8YFLogxK

U2 - 10.1201/b11149

DO - 10.1201/b11149

M3 - Chapter

SN - 9781439856413

SP - 583

EP - 611

BT - Cloud Computing

PB - CRC Press

ER -

Kim H, El-Khamra Y, Jha S, Parashar M. Exploring the use of hybrid HPC-grids/clouds infrastructure for science and engineering. In Cloud Computing: Methodology, Systems, and Applications. CRC Press. 2017. p. 583-611 https://doi.org/10.1201/b11149