Please use this identifier to cite or link to this item: http://cris.utm.md/handle/5014/272
Title: QoS intuionistic fuzzy decision-making in mobile cloud offloading systems based on extension theory
Authors: GUTULEAC, Emilian 
ZAPOROJAN, Sergiu 
MORARU, Victor 
SCLIFOS, Alexei 
Keywords: cloud computing;decision-making;extension theory;intuitionistic fuzzy number;Quality of Service;matter-element
Issue Date: 2019
Source: GUŢULEAC, Emilian; ZAPOROJAN, Sergiu; MORARU, Victor; SCLIFOS, Alexei. QoS intuionistic fuzzy decision-making in mobile cloud offloading systems based on extension theory. In: Electronics, Communications and Computing. Editia a 10-a, 23-26 octombrie 2019, Chişinău. Chișinău, Republica Moldova: Universitatea Tehnică a Moldovei, 2019, p. 24. ISBN 978-9975-108-84-3.
Project: Models, methods and interfaces for control and optimization of intelligent manufacturing systems / Modele, metode și interfețe pentru conducerea și optimizarea sistemelor de fabricație inteligente 
Journal: The 10th International Conference on Electronics, Communications and Computing 
Conference: Electronics, Communications and Computing
Abstract: 
The offloading process is one of the techniques used in mobile cloud computing
(MCC) to enhance the capabilities of mobile devices by moving mobile data and computation
applications to cloud platforms [1]. Cloud-path selection will be a crucial issue due to the
intensive development of MCC. Recently, several similar alternative cloud services are
considered and evaluated in terms of many different Quality of Service (QoS) criteria such as
performance, bandwidth, security, financial, availability, etc. that need to be considered when
making final decisions in cloud-path selection problem [2].
URI: http://cris.utm.md/handle/5014/272
ISBN: 978-9975-108-84-3
Appears in Collections:Conference Abstracts

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