RT Journal Article
T1 Location-aware scalable service composition.
A1 Pozas García, Nicolás
A1 Durán-Muñoz, Francisco Javier
A1 Moreno Berrocal, Katia
A1 Pimentel-Sánchez, Ernesto
K1 Servicios web
K1 Algoritmos genéticos
AB The problem of service composition is the process of assigning resources to services from a pool of available ones in the shortest possible time so that the overall quality of service is maximized. This article provides solutions for the composition problem that takes into account its scalability, services’ locations, and users’ restrictions, which are key for the management of applications using state-of-the-art technologies. The provided solutions use different techniques, including genetic algorithms and heuristics. We provide an extensive experimental evaluation, which shows the pros and cons of each of them, and allows us to characterize the preferred option for each specific problem. Since no solution dominates the others, we propose a decision tree, based on our results, to select the best composition algorithm in each situation.
PB Wiley
YR 2023
FD 2023
LK https://hdl.handle.net/10630/31576
UL https://hdl.handle.net/10630/31576
LA eng
NO Nicolás Pozas, Francisco Durán, Katia Moreno Berrocal, Ernesto Pimentel: Location-aware scalable service composition. Softw. Pract. Exp. 53(12): 2408-2429 (2023)
NO Spanish Government projects TED2021-130666B-I00 and PID2021-125527NB-I00.Funding for open access charge: Universidad de Málaga / CBUA.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026