dc.contributor.author |
Andronikou, V |
en |
dc.contributor.author |
Mamouras, K |
en |
dc.contributor.author |
Tserpes, K |
en |
dc.contributor.author |
Kyriazis, D |
en |
dc.contributor.author |
Varvarigou, T |
en |
dc.date.accessioned |
2014-03-01T02:08:42Z |
|
dc.date.available |
2014-03-01T02:08:42Z |
|
dc.date.issued |
2012 |
en |
dc.identifier.issn |
0167739X |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/29710 |
|
dc.subject |
Data replication |
en |
dc.subject |
Grid computing |
en |
dc.subject |
Quality of service |
en |
dc.subject.other |
Application capability |
en |
dc.subject.other |
Data Grid |
en |
dc.subject.other |
Data replication |
en |
dc.subject.other |
File replication algorithms |
en |
dc.subject.other |
Grid environments |
en |
dc.subject.other |
Replica consistency |
en |
dc.subject.other |
Replica creation |
en |
dc.subject.other |
Tolerance approach |
en |
dc.subject.other |
Fault tolerance |
en |
dc.subject.other |
Quality control |
en |
dc.subject.other |
Quality of service |
en |
dc.subject.other |
Grid computing |
en |
dc.title |
Dynamic QoS-aware data replication in grid environments based on data ""importance"" |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/j.future.2011.02.003 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/j.future.2011.02.003 |
en |
heal.publicationDate |
2012 |
en |
heal.abstract |
Data replication comprises a standard fault tolerance approach for systemsespecially large-scale onesthat store and provide data over wide geographical and administrative areas. The major topics that the task of data replication covers include the replica creation, placement, relocation and retirement, replica consistency and replica access. In a business context a number of constraints exists which are set by the infrastructure, network and application capabilities in combination with the Quality of Service (QoS) requirements that hinder the effectiveness of data replication schemes. In this paper, we examine how this combination affects the replication lifecycle in Data Grids and we introduce a set of interoperable novel file replication algorithms that take into account the infrastructural constraints as well as the 'importance' of the data. The latter is approximated through a multi-parametric factor that encapsulates a set of data-specific parameters, such as popularity and content significance. © 2011 Elsevier B.V. All rights reserved. |
en |
heal.journalName |
Future Generation Computer Systems |
en |
dc.identifier.doi |
10.1016/j.future.2011.02.003 |
en |
dc.identifier.volume |
28 |
en |
dc.identifier.issue |
3 |
en |
dc.identifier.spage |
544 |
en |
dc.identifier.epage |
553 |
en |