| dc.contributor.author |
Lérida Monsó, Josep Lluís |
| dc.contributor.author |
Solsona Tehàs, Francesc |
| dc.contributor.author |
Giné, Francesc |
| dc.contributor.author |
Hanzich, Mauricio |
| dc.contributor.author |
Hernández, P. |
| dc.contributor.author |
Luque, Emilio |
| dc.date |
2016-07-07T10:55:35Z |
| dc.date |
2006 |
| dc.date |
10000-01-01 |
| dc.identifier |
0302-9743 |
| dc.identifier |
http://hdl.handle.net/10459.1/57387 |
| dc.identifier |
https://doi.org/10.1007/11946441_59 |
| dc.identifier.uri |
http://hdl.handle.net/10459.1/57387 |
| dc.description |
The main aim of this work is to take advantage of the computer resources
of a single organization or Multicluster system to execute distributed
applications efficiently without excessively damaging the local users. In doing
so we propose a Metascheduler environment named MetaLoRaS with a 2-level
hierarchical architecture for a non-dedicated Multicluster with job prediction capabilities.
Among other Metaschedulers, the non-dedicated feature and an efficient prediction
system are the most distinctive characteristics of MetaLoRaS. Another
important contribution is the effective cluster selection mechanism, based on the
prediction system.
In this article, we show how the hierarchical architecture and simulation mechanism
are the best choices if we want to obtain an accurate prediction system
and, at the same time, the best turnaround times for distributed jobs without damaging
local user performance. |
| dc.description |
This work was supported by the MEyC-Spain under contract TIN 2004-03388. |
| dc.language |
eng |
| dc.publisher |
Springer Verlag |
| dc.relation |
MIECI/PN2004-2007/TIN2004-03388 |
| dc.relation |
Reproducció del document publicat a https://doi.org/10.1007/11946441_59 |
| dc.relation |
Lecture Notes in Computer Science, 2006, vol. 4330, p. 630-641 |
| dc.rights |
(c) Springer-Verlag Berlin Heidelberg, 2006 |
| dc.rights |
info:eu-repo/semantics/restrictedAccess |
| dc.title |
MetaLoRaS: A Predictable MetaScheduler for Non-dedicated Multiclusters |
| dc.type |
article |
| dc.type |
publishedVersion |
