Title
Vehicular Cloud Service Provider Selection: A Flexible Approach.
Abstract
Vehicular Cloud (VC) is an emerging paradigm where vehicles having sufficient resources act as mobile cloud servers by offering a variety of services to user vehicles. To consume a cloud service on the move, a user vehicle must first identify the most stable vehicles, relatively to its motion, capable of providing the service, then select the most suitable service according to its preferences and service provider quality or constraints. In this paper, we introduce a link stability metric based on a generic relative motion model among vehicles to form a stable cloud and address vehicular cloud service selection by using linguistic quantifiers and fuzzy quantified propositions aggregating efficiently both user preferences and service constraints to rank service providers from the most to the least satisfactory. To break ties, we also define new parameters, called least satisfactory proportion (Isp) and greatest satisfactory proportion (gsp). Simulation results show that the link stability achieves generic motion and the selection approach allows a good successful service consumption rate while reducing latency.
Year
Venue
Field
2017
IEEE Global Communications Conference
Pragmatics,Computer science,Latency (engineering),Server,Fuzzy logic,Computer network,Service provider,Cloud service provider,Mobile telephony,Cloud computing
DocType
ISSN
Citations 
Conference
2334-0983
2
PageRank 
References 
Authors
0.37
0
4
Name
Order
Citations
PageRank
Nouredine Tamani18814.63
Bouziane Brik2347.50
Nasreddine Lagraa311318.22
Yacine Ghamri-Doudane475983.02