SFIDE: a simulation infrastructure for data centers

Penas, Ignacio and Zapater Sancho, Marina and Risco Martín, José Luis and Ayala Rodrigo, José Luis (2017). SFIDE: a simulation infrastructure for data centers. In: "2017 Summer Simulation Multi-Conference (SummerSim 2017)", 09/07/2017 - 12/07/2017, Bellevue, Seattle Suburb, Washington, USA. pp. 191-202.

Description

Title: SFIDE: a simulation infrastructure for data centers
Author/s:
  • Penas, Ignacio
  • Zapater Sancho, Marina
  • Risco Martín, José Luis
  • Ayala Rodrigo, José Luis
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2017 Summer Simulation Multi-Conference (SummerSim 2017)
Event Dates: 09/07/2017 - 12/07/2017
Event Location: Bellevue, Seattle Suburb, Washington, USA
Title of Book: 2017 Summer Simulation Multi-Conference (SummerSim 2017)
Date: 2017
Subjects:
Freetext Keywords: DEVS, Data Center Simulation, Optimization, Smart Grid
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (3MB) | Preview

Abstract

Data centers are huge power consumers and have very high operational costs. Both industry and academiahave proposed strategies at multiple levels (server, room layout, cooling, workload allocation, etc.) to in-crease the efficiency of these facilities. Testing the impact of variables so different in nature such as layoutor workload allocation can only be managed by simulators. Current simulation infrastructures are eitherfocused on data room thermal dynamics, or target only a specific stage of data center operations, such asworkload allocation. Moreover, they are geared for specific use-cases such as HPC or cloud computing. Inthis paper we present a data center modeling and simulation framework, for both HPC and cloud applica-tions, to assess data center performance, thermal behavior, energy efficiency and operational cost. Our goalis to show the possibilities of the current data center modeling and simulation framework. Furthermore, aswe provide a fully configurable, flexible and scalable infrastructure any kind of policy, data center size orworkload amount could easily be implemented over the simulator. We also provide the data sets used tovalidate our models and policies, obtained from real servers and data centers, so as to enable researchers totest their strategies in a realistic setup.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTIN2015-65277-RUnspecifiedUnspecifiedComputación heterogénea eficiente: del procesador al datacenter

More information

Item ID: 50032
DC Identifier: http://oa.upm.es/50032/
OAI Identifier: oai:oa.upm.es:50032
Deposited by: Memoria Investigacion
Deposited on: 07 May 2018 18:01
Last Modified: 07 May 2018 18:01
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM