Wyszukiwanie zaawansowane ?

Obiekt

Using a vision cognitive algorithm to schedule virtual machines

Pobierz

Tytuł: Using a vision cognitive algorithm to schedule virtual machines

Autor:

Zhao, Jiaqi ; Mhedheb, Yousri ; Tao, Jie ; Jrad, Foued ; Liu, Qinghuai ; Streit, Achim

Data wydania:

2014

Typ zasobu:

artykuł

Współtwórca:

Abaev, Pavel - ed. ; Razumchik, Rostislav - ed. ; Kołodziej, Joanna - ed.

Podtytuł:

.

Tytuł publikacji grupowej:

AMCS, Volume 24 (2014)

Abstract:

Scheduling virtual machines is a major research topic for cloud computing, because it directly influences the performance, the operation cost and the quality of services. A large cloud center is normally equipped with several hundred thousand physical machines. The mission of the scheduler is to select the best one to host a virtual machine. This is an NP-hard global optimization problem with grand challenges for researchers. ; This work studies the Virtual Machine (VM) scheduling problem on the cloud. Our primary concern with VM scheduling is the energy consumption, because the largest part of a cloud center operation cost goes to the kilowatts used. We designed a scheduling algorithm that allocates an incoming virtual machine instance on the host machine, which results in the lowest energy consumption of the entire system. ; More specifically, we developed a new algorithm, called vision cognition, to solve the global optimization problem. This algorithm is inspired by the observation of how human eyes see directly the smallest/largest item without comparing them pairwisely. We theoretically proved that the algorithm works correctly and converges fast. Practically, we validated the novel algorithm, together with the scheduling concept, using a simulation approach. ; The adopted cloud simulator models different cloud infrastructures with various properties and detailed runtime information that can usually not be acquired from real clouds. The experimental results demonstrate the benefit of our approach in terms of reducing the cloud center energy consumption.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Identyfikator zasobu:

oai:zbc.uz.zgora.pl:78963

DOI:

10.2478/amcs-2014-0039

Strony:

535-550

Źródło:

AMCS, volume 24, number 3 (2014) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego

Temat i słowa kluczowe:

cloud computing vision cognitive algorithm VM scheduling simulation

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

2024-04-25

Data dodania obiektu:

2024-04-25

Liczba wyświetleń treści obiektu:

54

Wszystkie dostępne wersje tego obiektu:

https://zbc.uz.zgora.pl/repozytorium/publication/88764

Wyświetl opis w formacie RDF:

RDF

Wyświetl opis w formacie OAI-PMH:

OAI-PMH

Nazwa wydania Data
Using a vision cognitive algorithm to schedule virtual machines 2024-04-25

Obiekty

Podobne
AMCS, Volume 21 (2011)
AMCS, Volume 21 (2011)

Performance evaluation of MapReduce using full virtualisation on a departmental cloud

González-Vélez, Horacio Kontagora, Maryam Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.

2011
artykuł
AMCS, volume 18 (2008)
AMCS, volume 18 (2008)

On the development of SCILAB compatible software for the analysis and control of repetitive processes

Hładowski, Łukasz Cichy, Błażej Gałkowski, Krzysztof Rogers, Eric Gałkowski, Krzysztof - ed. Rogers, Eric - ed. Willems, Jan

2008
artykuł
AMCS, Volume 20 (2010)
AMCS, Volume 20 (2010)

Coupled analytical and numerical approach to uncovering new regulatory mechanisms of intracellular processes

Śmieja, Jarosław Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.

2010
artykuł
AMCS, volume 17 (2007)
AMCS, volume 17 (2007)

A federated approach to parallel and distributed simulation of complex systems

Sikora, Andrzej Niewiadomska-Szynkiewicz, Ewa Korbicz, Józef (1951- ) - red.

2007
artykuł
IJAME, volume 22 (2017)
IJAME, volume 22 (2017)

A numerical simulation for prediction of infrared radiation emitted from plain surfaces with different geometries

Akbari, Karim Moayeri, Hamid Ghassemi, Hassan Jurczak, Paweł - red.

2017
artykuł
IJAME, volume 19 (2014)
IJAME, volume 19 (2014)

The Matlab toolbox for modeling complex mechanisms

Pająk, Iwona Jurczak, Paweł - red.

2014
artykuł
IJAME, volume 25 (2020)
IJAME, volume 25 (2020)

Influence of nozzle geometry on fluid flow parameters

Penkov, Igor Aleksandrov, Dmitri Jurczak, Paweł - red.

2020
artykuł
AMCS, Volume 21 (2011)
AMCS, Volume 21 (2011)

Modeling of reliability characteristics typically assumes that components and systems fail if a certain individual damagelevel is exceeded. Every (mechanical) system damage increases irreversibly due to employed loading and (mechanical)stress, respectively. The main issue of damage estimation is adequate determination of the actual state-of-damage. Severalmathematical modeling approaches are known in the literature, focusing on the task of how loading effects damageprogression (e.g., W¨ohler, 1870) for wear processes. Those models are only valid for specific loading conditions, a prioriassumptions, set points, etc. This contribution proposes a general model, covering adequately the deterioration of a setof comparable systems under comparable loading. The main goal of this contribution is to derive the loading?damageconnection directly from observation without assuming any damage models at the outset. Moreover, the connection is notinvestigated in detail (e.g., to examine the changes in material, etc.) but only approximated with a probabilistic approach.The idea is subdivided into two phases: A problem-specific relation between loading applied (to a structure, which contributesto the stress) and failure is derived from simulation, where a probabilistic approach only assumes a distributionfunction. Subsequently, an adequate general model is set up to describe deterioration progression. The scheme will beshown through simulation-based results and can be used for estimation of the remaining useful life and predictive maintenance/control.Keywords: reliability, parameter estimation, damage accumulation, probabilistic simulation.

Dettmann, Kai-Uwe Söffker, Dirk Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.

2011
artykuł
Więcej

Dane kontaktowe

Adres

Biblioteka Uniwersytetu Zielonogórskiego
al. Wojska Polskiego 71
65-762 Zielona Góra

Telefon

(+48) 68 328 21 55

E-Mail

repozytorium@uz.zgora.pl

Odwiedź nas!

Ta strona wykorzystuje pliki 'cookies'. Więcej informacji