Simulation platform for energy optimization of server system

Hongjie Ma; Edward Smart; David Brown

Simulation platform for energy optimization of server system

Centre for Operational Research & Logistics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The electricity cost is even higher than the infrastructure cost for a data center especially when they are deployed in large cluster configurations. In this case, the research of the energy optimization for data server is necessary. However, due to the lack of flexible controllable hardware research platforms, commercial server system-level energy optimization algorithms are not very effective. To address this issue, we build a flexible business server simulation platform based on the principles and the energy – efficiency (EE) measurement data of the main components, such as Central Processor Unit (CPU), Hard Disk Drive (HDD), Memory and Power Supply Unit (PSU). Finally, we present an application case based on the simulation platform to illustrate its usage.

Original language	English
Title of host publication	9th International Conference on Intelligent Systems
Subtitle of host publication	IS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Publication status	Accepted for publication - 2 Aug 2018
Event	9th Internation conference on Intelligent Systems 2018 - Madeira Island, Portugal Duration: 25 Sept 2018 → 27 Sept 2018 http://www.ieee-is2018.com

Conference

Conference	9th Internation conference on Intelligent Systems 2018
Country/Territory	Portugal
City	Madeira Island
Period	25/09/18 → 27/09/18
Internet address	http://www.ieee-is2018.com

UN SDGs

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

Soft Computing Solution to Energy Conservation in Enterprise Servers
Brown, D. & Smart, E.
Innovate UK
1/06/15 → 31/05/17
Project: Research

Cite this

@inproceedings{dfb36e3785794e119d9a12c6c01c868e,

title = "Simulation platform for energy optimization of server system",

abstract = "The electricity cost is even higher than the infrastructure cost for a data center especially when they are deployed in large cluster configurations. In this case, the research of the energy optimization for data server is necessary. However, due to the lack of flexible controllable hardware research platforms, commercial server system-level energy optimization algorithms are not very effective. To address this issue, we build a flexible business server simulation platform based on the principles and the energy – efficiency (EE) measurement data of the main components, such as Central Processor Unit (CPU), Hard Disk Drive (HDD), Memory and Power Supply Unit (PSU). Finally, we present an application case based on the simulation platform to illustrate its usage.",

author = "Hongjie Ma and Edward Smart and David Brown",

year = "2018",

month = aug,

day = "2",

language = "English",

booktitle = "9th International Conference on Intelligent Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "9th Internation conference on Intelligent Systems 2018 ; Conference date: 25-09-2018 Through 27-09-2018",

url = "http://www.ieee-is2018.com",

}

TY - GEN

T1 - Simulation platform for energy optimization of server system

AU - Ma, Hongjie

AU - Smart, Edward

AU - Brown, David

PY - 2018/8/2

Y1 - 2018/8/2

N2 - The electricity cost is even higher than the infrastructure cost for a data center especially when they are deployed in large cluster configurations. In this case, the research of the energy optimization for data server is necessary. However, due to the lack of flexible controllable hardware research platforms, commercial server system-level energy optimization algorithms are not very effective. To address this issue, we build a flexible business server simulation platform based on the principles and the energy – efficiency (EE) measurement data of the main components, such as Central Processor Unit (CPU), Hard Disk Drive (HDD), Memory and Power Supply Unit (PSU). Finally, we present an application case based on the simulation platform to illustrate its usage.

AB - The electricity cost is even higher than the infrastructure cost for a data center especially when they are deployed in large cluster configurations. In this case, the research of the energy optimization for data server is necessary. However, due to the lack of flexible controllable hardware research platforms, commercial server system-level energy optimization algorithms are not very effective. To address this issue, we build a flexible business server simulation platform based on the principles and the energy – efficiency (EE) measurement data of the main components, such as Central Processor Unit (CPU), Hard Disk Drive (HDD), Memory and Power Supply Unit (PSU). Finally, we present an application case based on the simulation platform to illustrate its usage.

M3 - Conference contribution

BT - 9th International Conference on Intelligent Systems

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th Internation conference on Intelligent Systems 2018

Y2 - 25 September 2018 through 27 September 2018

ER -

Simulation platform for energy optimization of server system

Abstract

Conference

UN SDGs

Fingerprint

Projects

Soft Computing Solution to Energy Conservation in Enterprise Servers

Cite this