Optimization of the tasks and virtual machines allocation problem

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50013581" target="_blank" >RIV/62690094:18450/17:50013581 - isvavai.cz</a>

Výsledek na webu

<a href="http://fim2.uhk.cz/mme/conferenceproceedings/mme2017_conference_proceedings.pdf" target="_blank" >http://fim2.uhk.cz/mme/conferenceproceedings/mme2017_conference_proceedings.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Optimization of the tasks and virtual machines allocation problem

Popis výsledku v původním jazyce

The tasks and virtual machines allocation are one of the most important problems in efficient use of IT infrastructure including the physical, virtualization or computing technology. Depending on the exact setup of the computing scenario, the optimization problem can be stated in different ways. Most optimization works concern single data centers, multiple infrastructure-as-a-service (IAAS) systems, virtual machine - physical machine assignment problem and task allocation. Much work at the above problems has been done and interesting results have been found. Yet, several aspects were neglected and need to be addressed in more details. Traditional distribution of task or virtual machine allocation is based on simple load balancing techniques, e.g. round robin, in coming data stream selection, etc. This kind of distribution does not reflect the real utilization of resource or problem such as communication between virtual machines, virtual machine co-location interference, composition of power consumption optimization at multiple levels of components, or physical machine with multi-core CPU. The paper is focused on implementation of online bin packing algorithm for workload optimization based on computing task categorization.

Název v anglickém jazyce

Optimization of the tasks and virtual machines allocation problem

Popis výsledku anglicky

The tasks and virtual machines allocation are one of the most important problems in efficient use of IT infrastructure including the physical, virtualization or computing technology. Depending on the exact setup of the computing scenario, the optimization problem can be stated in different ways. Most optimization works concern single data centers, multiple infrastructure-as-a-service (IAAS) systems, virtual machine - physical machine assignment problem and task allocation. Much work at the above problems has been done and interesting results have been found. Yet, several aspects were neglected and need to be addressed in more details. Traditional distribution of task or virtual machine allocation is based on simple load balancing techniques, e.g. round robin, in coming data stream selection, etc. This kind of distribution does not reflect the real utilization of resource or problem such as communication between virtual machines, virtual machine co-location interference, composition of power consumption optimization at multiple levels of components, or physical machine with multi-core CPU. The paper is focused on implementation of online bin packing algorithm for workload optimization based on computing task categorization.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

35th International Conference Mathematical Methods in Economics

ISBN

978-80-7435-678-0

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

590-595

Název nakladatele

Univerzita Hradec Králové

Místo vydání

Hradec Králové

Místo konání akce

Hradec Králové

Datum konání akce

13. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000427151400101