DSpace Repository

QoS intuionistic fuzzy decision-making in mobile cloud offloading systems based on extension theory

Show simple item record

dc.contributor.author GUȚULEAC, Emilian
dc.contributor.author ZAPOROJAN, Sergiu
dc.contributor.author MORARU, Victor
dc.contributor.author SCLIFOS, Alexei
dc.date.accessioned 2019-10-31T10:57:56Z
dc.date.available 2019-10-31T10:57:56Z
dc.date.issued 2019
dc.identifier.citation GUȚULEAC, Emilian, ZAPOROJAN, Sergiu, MORARU, Victor et al. QoS intuionistic fuzzy decision-making in mobile cloud offloading systems based on extension theory. In: Electronics, Communications and Computing: extended abstracts of the 10th Intern. Conf.: the 55th anniversary of Technical University of Moldova, Chişinău, October 23-26, 2019. Chişinău, 2019, p. 24. ISBN 978-9975-108-84-3. en_US
dc.identifier.isbn 978-9975-108-84-3
dc.identifier.uri http://repository.utm.md/handle/5014/5756
dc.description.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]. en_US
dc.language.iso en en_US
dc.publisher Tehnica UTM en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject cloud computing en_US
dc.subject intuitionistic fuzzy number en_US
dc.subject extension theory en_US
dc.title QoS intuionistic fuzzy decision-making in mobile cloud offloading systems based on extension theory en_US
dc.type Article en_US


Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s)

  • 2019
    Extended Abstracts of the: The 10th IC|ECCO; October 23-26, 2019

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

Search DSpace


Advanced Search

Browse

My Account