Quantum Game Application to Recovery Problem in Mobile Database

Mobile Computing (MC) is a relatively new concept in the world of distributed computing that is rapidly gaining traction. Due to the dynamic nature of mobility and the limited bandwidth available on wireless networks, this new computing environment for mobile devices presents significant challenges...

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Autores principales: Magda M. Madbouly, Yasser F. Mokhtar, Saad M. Darwish
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/74c26df61db941a0bfcebbf269a5c8f3
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spelling oai:doaj.org-article:74c26df61db941a0bfcebbf269a5c8f32021-11-25T19:05:47ZQuantum Game Application to Recovery Problem in Mobile Database10.3390/sym131119842073-8994https://doaj.org/article/74c26df61db941a0bfcebbf269a5c8f32021-10-01T00:00:00Zhttps://www.mdpi.com/2073-8994/13/11/1984https://doaj.org/toc/2073-8994Mobile Computing (MC) is a relatively new concept in the world of distributed computing that is rapidly gaining traction. Due to the dynamic nature of mobility and the limited bandwidth available on wireless networks, this new computing environment for mobile devices presents significant challenges in terms of fault-tolerant system development. As a consequence, traditional fault-tolerance techniques are inherently inapplicable to these systems. External circumstances often expose mobile systems to failures in communication or data storage. In this article, a quantum game theory-based recovery model is proposed in the case of a mobile host’s failure. Several of the state-of-the-art recovery protocols are selected and analyzed in order to identify the most important variables influencing the recovery mechanism, such as the number of processes, the time needed to send messages, and the number of messages logged-in time. Quantum game theory is then adapted to select the optimal recovery method for the given environment variables using the proposed utility matrix of three players. Game theory is the study of mathematical models of situations in which intelligent rational decision-makers face conflicting interests (alternative recovery procedures). The purpose of this study is to present an adaptive algorithm based on quantum game theory for selecting the most efficient context-aware computing recovery procedure. The transition from a classical to a quantum domain is accomplished in the proposed model by treating strategies as a Hilbert space rather than a discrete set and then allowing for the existence of linear superpositions between classical strategies; this naturally increases the number of possible strategic choices available to each player from a numerable to a continuous set. Numerical data are provided to demonstrate feasibility.Magda M. MadboulyYasser F. MokhtarSaad M. DarwishMDPI AGarticlemobile computingquantum game theorydecision makingmobile database recoveryMathematicsQA1-939ENSymmetry, Vol 13, Iss 1984, p 1984 (2021)
institution DOAJ
collection DOAJ
language EN
topic mobile computing
quantum game theory
decision making
mobile database recovery
Mathematics
QA1-939
spellingShingle mobile computing
quantum game theory
decision making
mobile database recovery
Mathematics
QA1-939
Magda M. Madbouly
Yasser F. Mokhtar
Saad M. Darwish
Quantum Game Application to Recovery Problem in Mobile Database
description Mobile Computing (MC) is a relatively new concept in the world of distributed computing that is rapidly gaining traction. Due to the dynamic nature of mobility and the limited bandwidth available on wireless networks, this new computing environment for mobile devices presents significant challenges in terms of fault-tolerant system development. As a consequence, traditional fault-tolerance techniques are inherently inapplicable to these systems. External circumstances often expose mobile systems to failures in communication or data storage. In this article, a quantum game theory-based recovery model is proposed in the case of a mobile host’s failure. Several of the state-of-the-art recovery protocols are selected and analyzed in order to identify the most important variables influencing the recovery mechanism, such as the number of processes, the time needed to send messages, and the number of messages logged-in time. Quantum game theory is then adapted to select the optimal recovery method for the given environment variables using the proposed utility matrix of three players. Game theory is the study of mathematical models of situations in which intelligent rational decision-makers face conflicting interests (alternative recovery procedures). The purpose of this study is to present an adaptive algorithm based on quantum game theory for selecting the most efficient context-aware computing recovery procedure. The transition from a classical to a quantum domain is accomplished in the proposed model by treating strategies as a Hilbert space rather than a discrete set and then allowing for the existence of linear superpositions between classical strategies; this naturally increases the number of possible strategic choices available to each player from a numerable to a continuous set. Numerical data are provided to demonstrate feasibility.
format article
author Magda M. Madbouly
Yasser F. Mokhtar
Saad M. Darwish
author_facet Magda M. Madbouly
Yasser F. Mokhtar
Saad M. Darwish
author_sort Magda M. Madbouly
title Quantum Game Application to Recovery Problem in Mobile Database
title_short Quantum Game Application to Recovery Problem in Mobile Database
title_full Quantum Game Application to Recovery Problem in Mobile Database
title_fullStr Quantum Game Application to Recovery Problem in Mobile Database
title_full_unstemmed Quantum Game Application to Recovery Problem in Mobile Database
title_sort quantum game application to recovery problem in mobile database
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/74c26df61db941a0bfcebbf269a5c8f3
work_keys_str_mv AT magdammadbouly quantumgameapplicationtorecoveryprobleminmobiledatabase
AT yasserfmokhtar quantumgameapplicationtorecoveryprobleminmobiledatabase
AT saadmdarwish quantumgameapplicationtorecoveryprobleminmobiledatabase
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