Algorithmic Background of the Host Recommendation in the Adaptive Distributed Multimedia Server

Szkaliczki, Tibor; Goldschmidt, Balázs; Böszörmenyi, Laszlo

Serdica Journal of Computing (2007)

  • Volume: 1, Issue: 3, page 365-386
  • ISSN: 1312-6555

Abstract

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Partial support of the Hungarian State Eötvös Scholarship, the Hungarian National Science Fund (Grant No. OTKA 42559 and 42706) and the Mobile Innovation Center, Hungary is gratefully acknowledged.In a distributed server architecture an obvious question is where to deploy the components. Host recommendation, which gives the answer, faces problems such as server selection, host deployment and, in case of multimedia servers, video replication. It is especially relevant for the Adaptive Distributed Multimedia Server (ADMS) which is dynamically able to add and remove its components to different nodes of the network. The present survey paper introduces the different variants of host recommendation and gives an overview of its possible mathematical approaches. Emphasis is put on the facility location problem and the related approximation algorithms. Finally some algorithms selected for implementation are presented.

How to cite

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Szkaliczki, Tibor, Goldschmidt, Balázs, and Böszörmenyi, Laszlo. "Algorithmic Background of the Host Recommendation in the Adaptive Distributed Multimedia Server." Serdica Journal of Computing 1.3 (2007): 365-386. <http://eudml.org/doc/11430>.

@article{Szkaliczki2007,
abstract = {Partial support of the Hungarian State Eötvös Scholarship, the Hungarian National Science Fund (Grant No. OTKA 42559 and 42706) and the Mobile Innovation Center, Hungary is gratefully acknowledged.In a distributed server architecture an obvious question is where to deploy the components. Host recommendation, which gives the answer, faces problems such as server selection, host deployment and, in case of multimedia servers, video replication. It is especially relevant for the Adaptive Distributed Multimedia Server (ADMS) which is dynamically able to add and remove its components to different nodes of the network. The present survey paper introduces the different variants of host recommendation and gives an overview of its possible mathematical approaches. Emphasis is put on the facility location problem and the related approximation algorithms. Finally some algorithms selected for implementation are presented.},
author = {Szkaliczki, Tibor, Goldschmidt, Balázs, Böszörmenyi, Laszlo},
journal = {Serdica Journal of Computing},
keywords = {Distributed Video Server; Host Recommendation; Optimisation; Facility Location Problem; facility location},
language = {eng},
number = {3},
pages = {365-386},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {Algorithmic Background of the Host Recommendation in the Adaptive Distributed Multimedia Server},
url = {http://eudml.org/doc/11430},
volume = {1},
year = {2007},
}

TY - JOUR
AU - Szkaliczki, Tibor
AU - Goldschmidt, Balázs
AU - Böszörmenyi, Laszlo
TI - Algorithmic Background of the Host Recommendation in the Adaptive Distributed Multimedia Server
JO - Serdica Journal of Computing
PY - 2007
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 1
IS - 3
SP - 365
EP - 386
AB - Partial support of the Hungarian State Eötvös Scholarship, the Hungarian National Science Fund (Grant No. OTKA 42559 and 42706) and the Mobile Innovation Center, Hungary is gratefully acknowledged.In a distributed server architecture an obvious question is where to deploy the components. Host recommendation, which gives the answer, faces problems such as server selection, host deployment and, in case of multimedia servers, video replication. It is especially relevant for the Adaptive Distributed Multimedia Server (ADMS) which is dynamically able to add and remove its components to different nodes of the network. The present survey paper introduces the different variants of host recommendation and gives an overview of its possible mathematical approaches. Emphasis is put on the facility location problem and the related approximation algorithms. Finally some algorithms selected for implementation are presented.
LA - eng
KW - Distributed Video Server; Host Recommendation; Optimisation; Facility Location Problem; facility location
UR - http://eudml.org/doc/11430
ER -

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