The self distributing virtual machine (SDVM): making computer clusters adaptive

The Self Distributing Virtual Machine (SDVM) is a middleware concept to form a parallel computing machine consisting of a any set of processing units, such as functional units in a processor or FPGA, processing units in a multiprocessor chip, or computers in a computer cluster. Its structure and fun...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Haase, Jan, Hofmann, Andreas, Waldschmidt, Klaus
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
Parallel processing
Clustering
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/24012
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-24012
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Parallel processing
Clustering
spellingShingle Ciencias Informáticas
Parallel processing
Clustering
Haase, Jan
Hofmann, Andreas
Waldschmidt, Klaus
The self distributing virtual machine (SDVM): making computer clusters adaptive
topic_facet Ciencias Informáticas
Parallel processing
Clustering
description The Self Distributing Virtual Machine (SDVM) is a middleware concept to form a parallel computing machine consisting of a any set of processing units, such as functional units in a processor or FPGA, processing units in a multiprocessor chip, or computers in a computer cluster. Its structure and functionality is biologically inspired aiming towards forming a combined workforce of independent units (”sites”), each acting on the same set of simple rules. The SDVM supports growing and shrinking the cluster at runtime as well as heterogeneous clusters. It uses the work-stealing principle to dynamically distribute the workload among all sites. The SDVM’s energy management targets the health of all sites by adjusting their power states according to workload and temperature. Dynamic reassignment of the current workload facilitates a new energy policy which focuses on increasing the reliability of each site. This paper presents the structure and the functionality of the SDVM.
format Objeto de conferencia
Objeto de conferencia
author Haase, Jan
Hofmann, Andreas
Waldschmidt, Klaus
author_facet Haase, Jan
Hofmann, Andreas
Waldschmidt, Klaus
author_sort Haase, Jan
title The self distributing virtual machine (SDVM): making computer clusters adaptive
title_short The self distributing virtual machine (SDVM): making computer clusters adaptive
title_full The self distributing virtual machine (SDVM): making computer clusters adaptive
title_fullStr The self distributing virtual machine (SDVM): making computer clusters adaptive
title_full_unstemmed The self distributing virtual machine (SDVM): making computer clusters adaptive
title_sort self distributing virtual machine (sdvm): making computer clusters adaptive
publishDate 2006
url http://sedici.unlp.edu.ar/handle/10915/24012
work_keys_str_mv AT haasejan theselfdistributingvirtualmachinesdvmmakingcomputerclustersadaptive
AT hofmannandreas theselfdistributingvirtualmachinesdvmmakingcomputerclustersadaptive
AT waldschmidtklaus theselfdistributingvirtualmachinesdvmmakingcomputerclustersadaptive
AT haasejan selfdistributingvirtualmachinesdvmmakingcomputerclustersadaptive
AT hofmannandreas selfdistributingvirtualmachinesdvmmakingcomputerclustersadaptive
AT waldschmidtklaus selfdistributingvirtualmachinesdvmmakingcomputerclustersadaptive
bdutipo_str Repositorios
_version_ 1764820466484117507

Ejemplares similares