Architectures for Cloud-based HPC in Data Centers

Dao Manh Phan Hung; Sunil Manyam Seshadri Naidu; Michael Opoku Agyeman

doi:10.1109/ICBDA.2017.8078793

Architectures for Cloud-based HPC in Data Centers

Dao Manh Phan Hung
, Sunil Manyam Seshadri Naidu
, Michael Opoku Agyeman

Research output: Contribution to Book/Report › Conference Contribution › peer-review

Abstract

The growing demands in IT services for improving efficiency, quality at low cost to handle complex compute requirements has led to the integration of High performance computing (HPC) systems and cloud infrastructure in data centers. Earlier, HPC systems were limited to academic and research institutions and engineering laboratories. However, the emergence of cloud infrastructures and their successful implementation in different areas of application usage including manufacturing, industries, etc. has motivated the integration of HPC systems. Thus, provide multiple benefits for scientific, industrial and enterprise organizations. This paper explores the architectures of HPC and cloud services in data centers and highlights the benefits of integrating these architectures. For example, applications related to environmental monitoring, climate change research, etc. can be handled in HPC systems available in cloud architectures with ease. In addition to the overall benefits, the integration of architectures offers unlimited computing and storage resources to handle more complex workloads. In this paper, these paradigms are discussed and their advantages highlighted.

Original language	English
Title of host publication	2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)
Place of Publication	Beijing, China
Publisher	IEEE
Pages	138-143
Number of pages	6
ISBN (Electronic)	978-1-5090-3619-6
ISBN (Print)	978-1-5090-3618-9
DOIs	https://doi.org/10.1109/ICBDA.2017.8078793
Publication status	Published - 23 Oct 2017
Event	IEEE International Conference on Big Data Analysis (ICBDA) - Beijing, China Duration: 10 Mar 2017 → 12 Mar 2017

Conference

Conference	IEEE International Conference on Big Data Analysis (ICBDA)
Country/Territory	China
City	Beijing
Period	10/03/17 → 12/03/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

Cloud computing
Computer architecture
Computational modeling
Hardware
Central Processing Unit
Data models

Access to Document

10.1109/ICBDA.2017.8078793

Cite this

@inproceedings{aeb8c977d9d8469cafee789685b9b884,

title = "Architectures for Cloud-based HPC in Data Centers",

abstract = "The growing demands in IT services for improving efficiency, quality at low cost to handle complex compute requirements has led to the integration of High performance computing (HPC) systems and cloud infrastructure in data centers. Earlier, HPC systems were limited to academic and research institutions and engineering laboratories. However, the emergence of cloud infrastructures and their successful implementation in different areas of application usage including manufacturing, industries, etc. has motivated the integration of HPC systems. Thus, provide multiple benefits for scientific, industrial and enterprise organizations. This paper explores the architectures of HPC and cloud services in data centers and highlights the benefits of integrating these architectures. For example, applications related to environmental monitoring, climate change research, etc. can be handled in HPC systems available in cloud architectures with ease. In addition to the overall benefits, the integration of architectures offers unlimited computing and storage resources to handle more complex workloads. In this paper, these paradigms are discussed and their advantages highlighted.",

keywords = "Cloud computing, Computer architecture, Computational modeling, Hardware, Central Processing Unit, Data models",

author = "\{Manh Phan Hung\}, Dao and \{Manyam Seshadri Naidu\}, Sunil and \{Opoku Agyeman\}, Michael",

year = "2017",

month = oct,

day = "23",

doi = "10.1109/ICBDA.2017.8078793",

language = "English",

isbn = "978-1-5090-3618-9",

pages = "138--143",

booktitle = "2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)",

publisher = "IEEE",

note = "IEEE International Conference on Big Data Analysis (ICBDA) ; Conference date: 10-03-2017 Through 12-03-2017",

}

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T1 - Architectures for Cloud-based HPC in Data Centers

AU - Manh Phan Hung, Dao

AU - Manyam Seshadri Naidu, Sunil

AU - Opoku Agyeman, Michael

PY - 2017/10/23

Y1 - 2017/10/23

N2 - The growing demands in IT services for improving efficiency, quality at low cost to handle complex compute requirements has led to the integration of High performance computing (HPC) systems and cloud infrastructure in data centers. Earlier, HPC systems were limited to academic and research institutions and engineering laboratories. However, the emergence of cloud infrastructures and their successful implementation in different areas of application usage including manufacturing, industries, etc. has motivated the integration of HPC systems. Thus, provide multiple benefits for scientific, industrial and enterprise organizations. This paper explores the architectures of HPC and cloud services in data centers and highlights the benefits of integrating these architectures. For example, applications related to environmental monitoring, climate change research, etc. can be handled in HPC systems available in cloud architectures with ease. In addition to the overall benefits, the integration of architectures offers unlimited computing and storage resources to handle more complex workloads. In this paper, these paradigms are discussed and their advantages highlighted.

AB - The growing demands in IT services for improving efficiency, quality at low cost to handle complex compute requirements has led to the integration of High performance computing (HPC) systems and cloud infrastructure in data centers. Earlier, HPC systems were limited to academic and research institutions and engineering laboratories. However, the emergence of cloud infrastructures and their successful implementation in different areas of application usage including manufacturing, industries, etc. has motivated the integration of HPC systems. Thus, provide multiple benefits for scientific, industrial and enterprise organizations. This paper explores the architectures of HPC and cloud services in data centers and highlights the benefits of integrating these architectures. For example, applications related to environmental monitoring, climate change research, etc. can be handled in HPC systems available in cloud architectures with ease. In addition to the overall benefits, the integration of architectures offers unlimited computing and storage resources to handle more complex workloads. In this paper, these paradigms are discussed and their advantages highlighted.

KW - Cloud computing

KW - Computer architecture

KW - Computational modeling

KW - Hardware

KW - Central Processing Unit

KW - Data models

U2 - 10.1109/ICBDA.2017.8078793

DO - 10.1109/ICBDA.2017.8078793

M3 - Conference Contribution

SN - 978-1-5090-3618-9

SP - 138

EP - 143

BT - 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA)

PB - IEEE

CY - Beijing, China

T2 - IEEE International Conference on Big Data Analysis (ICBDA)

Y2 - 10 March 2017 through 12 March 2017

ER -

Architectures for Cloud-based HPC in Data Centers

Abstract

Conference

UN SDGs

Keywords

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Cite this