Network Flows for Data Distribution and Computation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00094080" target="_blank" >RIV/00216224:14330/16:00094080 - isvavai.cz</a>
Alternative codes found
RIV/61389005:_____/16:00475856
Result on the web
<a href="http://dx.doi.org/10.1109/SSCI.2016.7850083" target="_blank" >http://dx.doi.org/10.1109/SSCI.2016.7850083</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SSCI.2016.7850083" target="_blank" >10.1109/SSCI.2016.7850083</a>
Alternative languages
Result language
angličtina
Original language name
Network Flows for Data Distribution and Computation
Original language description
An important class of modern big data applications is distributed data production in High Energy and Nuclear Physics (HENP). Such data intensive computations heavily rely on geographically distributed resources featuring hundreds of thousands CPUs and petabytes of storage. Unfortunately, classical job scheduling approaches either do not address all the aspects of the case or do not scale appropriately. Previously we have developed a new job scheduling approach dedicated to distributed data production, where the load balancing across sites is provided by forwarding data in peer-to-peer manner, but guided by a centrally created and periodically updated plan, aiming to achieve global optimality. Because the many HENP experiments utilize distributed storage, in this work we provide an important generalization of our approach to consider multiple sources of input data.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 IEEE Symposium Series on Computational Intelligence (SSCI)
ISBN
9781509042401
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
1-8
Publisher name
IEEE
Place of publication
USA
Event location
USA
Event date
Jan 1, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—