dc.contributor.author |
Litke, A |
en |
dc.contributor.author |
Skoutas, D |
en |
dc.contributor.author |
Tserpes, K |
en |
dc.contributor.author |
Varvarigou, T |
en |
dc.date.accessioned |
2014-03-01T01:26:16Z |
|
dc.date.available |
2014-03-01T01:26:16Z |
|
dc.date.issued |
2007 |
en |
dc.identifier.issn |
0167-739X |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/17975 |
|
dc.subject |
Fault tolerance |
en |
dc.subject |
Grid computing |
en |
dc.subject |
Scheduling |
en |
dc.subject.classification |
Computer Science, Theory & Methods |
en |
dc.subject.other |
Computer simulation |
en |
dc.subject.other |
Distributed computer systems |
en |
dc.subject.other |
Middleware |
en |
dc.subject.other |
Mobile computing |
en |
dc.subject.other |
Reliability |
en |
dc.subject.other |
Scheduling |
en |
dc.subject.other |
Grid computing |
en |
dc.subject.other |
Mobile Grid computing paradigm |
en |
dc.subject.other |
Resource management |
en |
dc.subject.other |
Weibull reliability function |
en |
dc.subject.other |
Fault tolerant computer systems |
en |
dc.title |
Efficient task replication and management for adaptive fault tolerance in Mobile Grid environments |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/j.future.2006.04.014 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/j.future.2006.04.014 |
en |
heal.language |
English |
en |
heal.publicationDate |
2007 |
en |
heal.abstract |
Fault tolerant Grid computing is of vital importance as the Grid and Mobile computing worlds converge to the Mobile Grid computing paradigm. We present an efficient scheme based on task replication, which utilizes the Weibull reliability function for the Grid resources so as to estimate the number of replicas that are going to be scheduled in order to guarantee a specific fault tolerance level for the Grid environment. The additional workload that is produced by the replication is handled by a resource management scheme which is based on the knapsack formulation and which aims to maximize the utilization and profit of the Grid infrastructure. The proposed model has been evaluated through simulation and has shown its efficiency for being used in a middleware approach in future mobile Grid environments. (c) 2006 Elsevier B.V. All rights reserved. |
en |
heal.publisher |
ELSEVIER SCIENCE BV |
en |
heal.journalName |
Future Generation Computer Systems |
en |
dc.identifier.doi |
10.1016/j.future.2006.04.014 |
en |
dc.identifier.isi |
ISI:000241137500001 |
en |
dc.identifier.volume |
23 |
en |
dc.identifier.issue |
2 |
en |
dc.identifier.spage |
163 |
en |
dc.identifier.epage |
178 |
en |