dc.contributor.author |
Meliones, A |
en |
dc.contributor.author |
Varvarigou, T |
en |
dc.contributor.author |
Tsagronis, P |
en |
dc.contributor.author |
Emmen, A |
en |
dc.contributor.author |
Barosan, I |
en |
dc.date.accessioned |
2014-03-01T01:14:19Z |
|
dc.date.available |
2014-03-01T01:14:19Z |
|
dc.date.issued |
1999 |
en |
dc.identifier.issn |
0167-739X |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/12993 |
|
dc.subject |
distributed high-performance computing |
en |
dc.subject |
metacomputing |
en |
dc.subject |
cluster computing |
en |
dc.subject |
post production |
en |
dc.subject |
remote rendering |
en |
dc.subject |
distributed rendering |
en |
dc.subject |
CODINE |
en |
dc.subject |
job management |
en |
dc.subject |
turnaround time |
en |
dc.subject |
loosely-coupled parallelism |
en |
dc.subject |
EROPPA |
en |
dc.subject.classification |
Computer Science, Theory & Methods |
en |
dc.subject.other |
Computer software |
en |
dc.subject.other |
Optimization |
en |
dc.subject.other |
Parallel processing systems |
en |
dc.subject.other |
Resource allocation |
en |
dc.subject.other |
Scheduling |
en |
dc.subject.other |
Three dimensional |
en |
dc.subject.other |
Turnaround time |
en |
dc.subject.other |
Cluster computing |
en |
dc.subject.other |
Distributed high performance computing |
en |
dc.subject.other |
Distributed rendering |
en |
dc.subject.other |
Job management |
en |
dc.subject.other |
Metacomputing |
en |
dc.subject.other |
Post production |
en |
dc.subject.other |
Remote rendering |
en |
dc.subject.other |
Distributed computer systems |
en |
dc.title |
Metacomputing environment for demanding applications: design, implementation, experiments and business benefit |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/S0167-739X(99)00027-8 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/S0167-739X(99)00027-8 |
en |
heal.language |
English |
en |
heal.publicationDate |
1999 |
en |
heal.abstract |
The paper describes the design, implementation, and use of a commercial metacomputing environment for computationally intensive loosely-coupled parallel applications. Much weight has been laid on practical and commercialisation aspects, and on business benefit. This distinguishes this work from many other metacomputing activities in a positive way. It demonstrates how a metacomputing environment can be used to improve a company's position in the market. A cluster of networked geographically dispersed computing nodes is considered as physical layer. The proposed distribution of work over the nodes of the execution network is proven optimal, in terms of minimizing the execution time, with respect to the availability of resources. We also present our experience on testing the environment for computing-intensive 3D-rendering jobs derived from the ESPRIT project EROPPA and demonstrate that the new environment can change dramatically the character of the post production business. (C) 1999 Published by Elsevier Science B.V. All rights reserved. |
en |
heal.publisher |
Elsevier Science Publishers B.V., Amsterdam, Netherlands |
en |
heal.journalName |
Future Generation Computer Systems |
en |
dc.identifier.doi |
10.1016/S0167-739X(99)00027-8 |
en |
dc.identifier.isi |
ISI:000082167300022 |
en |
dc.identifier.volume |
15 |
en |
dc.identifier.issue |
5 |
en |
dc.identifier.spage |
787 |
en |
dc.identifier.epage |
806 |
en |