Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Charlie Svahnberg"'
Publikováno v:
Acta Informatica. 41:341-365
Clusters and distributed systems offer fault tolerance and high performance through load sharing. When all n computers are up and running, we would like the load to be evenly distributed among the computers. When one or more computers break down, the
Autor:
Charlie Svahnberg, Lars Lundberg
Publikováno v:
Journal of Parallel and Distributed Computing. 61:1680-1691
Clusters and distributed systems offer two important advantages, viz. fault tolerance and high performance through load sharing. When all computers are up and running, we would like the load to be evenly distributed among the computers. When one or m
Autor:
Johan Zackrisson, Charlie Svahnberg
Publikováno v:
International Journal of Online Engineering (iJOE), Vol 4, Iss SI1: REV2008, Pp 63-68 (2008)
For experiments to be reproducible, it is important to have a known and controlled environment. This requires isolation from the surroundings. For security experiments, e.g. with hostile software, this is even more important as the experiment can aff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::85d23dbc48765e86ad9ce3bc35d8944d
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-8564
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-8564
Publikováno v:
IPDPS
Clusters and distributed systems offer fault tolerance and high performance through load sharing. When all computers are up and running, we would like the load to be evenly distributed among the computers. When one or more computers break down the lo
Publikováno v:
PRDC
Clusters and distributed systems offer fault tolerance and high performance through load sharing. When all computers are up and running, we would like the load to be evenly distributed among the computers. When one or more computers break down the lo
Publikováno v:
IPDPS
Clusters and distributed systems offer fault tolerance and high performance through load sharing, and are thus attractive in real-time applications. When all computers are up and running, we would like the load to be evenly distributed among the comp