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Evolutionary Intelligence
Erschienen in: Evolutionary Intelligence 1/2020

29.06.2018 | Special Issue

Energy consumption laxity-based quorum selection for distributed object-based systems

verfasst von: Tomoya Enokido, Dilawaer Duolikun, Makoto Takizawa

Erschienen in: Evolutionary Intelligence | Ausgabe 1/2020

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Abstract

In object based systems, an object is an unit of computation resource. Distributed applications are composed of multiple objects. Objects in an application are replicated to multiple servers in order to increase reliability, availability, and performance. On the other hand, the large amount of electric energy is consumed in a system compared with non-replication systems since multiple replicas of each object are manipulated on multiple servers. In this paper, the energy consumption laxity-based quorum selection (ECLBQS) algorithm is proposed to construct a quorum for each method issued by a transaction so that the total electric energy consumption of servers to perform methods can be reduced in the quorum based locking protocol. The total electric energy consumption of servers, the average execution time of each transaction, and the number of aborted transactions are shown to be more reduced in the ECLBQS algorithm than the random algorithm in evaluation.
Vorheriger Artikel Special issue “The convergence of Evolutionary Intelligence and Networking”
Nächster Artikel Performance evaluation of support vector machine and convolutional neural network algorithms in real-time vehicle type and color classification

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Metadaten
Titel
Energy consumption laxity-based quorum selection for distributed object-based systems
verfasst von
Tomoya Enokido
Dilawaer Duolikun
Makoto Takizawa
Publikationsdatum
29.06.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Evolutionary Intelligence / Ausgabe 1/2020
Print ISSN: 1864-5909
Elektronische ISSN: 1864-5917
DOI
https://doi.org/10.1007/s12065-018-0157-1

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