期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN:2158-107X
电子版ISSN:2156-5570
出版年度:2019
卷号:10
期号:11
页码:352-359
出版社:Science and Information Society (SAI)
摘要:In this paper, we propose a new model of vehicle
routing based on micro services using the principle of selection
and composition of paths. In this model each micro service is
responsible for a road resource, a step in the driver's journey,
implementing a specific objective of the road course. The micro
services are deployed in a cloud architecture in multiple
instances according to a system of increase in load and fault
tolerance. Drivers requests are sent to a proxy micro-service,
with abstract structures of road courses represented by oriented
graphs. The proxy micro-service is responsible for analyzing the
request to determine the driver's profile and its context in the
journey in order to select the micro-service responsible for
providing information on the most appropriate road resource.
The method of meta-heuristic optimization of road courses, used
in the proposed approach, is based on the ant colony algorithm,
or we will describe an adaptation of this optimization method to
propose to the driver, at each stage of the journey, the most
optimal resource to exploit.