We propose a novel top-k service composition framework for drone services under a dynamic environment. We develop a system model for formal modelling of drone services in a skyway network. The composition process is accomplished in two phases, i.e., computing top-k compositions and extending and ranking top-k compositions using probabilistic wait and recharge times under congestion conditions. We propose a top-k composition algorithm to compute the best service composition plan meeting user's requirements. A set of experiments with a real dataset is conducted to demonstrate the effectiveness of the proposed approach.
@article{arxiv.2111.09153,
title = {Top-k Dynamic Service Composition in Skyway Networks},
author = {Babar Shahzaad and Athman Bouguettaya},
journal= {arXiv preprint arXiv:2111.09153},
year = {2021}
}
Comments
15 pages, 7 figures. This is an accepted paper and it is going to be published in the Proceedings of 19th International Conference on Service Oriented Computing (ICSOC 2021)