2026-06-03T01:34:56Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/315762026-02-03T10:57:25Zcom_10630_2254col_10630_37953

Location-aware scalable service composition. Pozas García, Nicolás Durán-Muñoz, Francisco Javier Moreno Berrocal, Katia Pimentel-Sánchez, Ernesto Servicios web Algoritmos genéticos 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. 2024-06-12T08:42:42Z 2024-06-12T08:42:42Z 2023 journal article Nicolás Pozas, Francisco Durán, Katia Moreno Berrocal, Ernesto Pimentel: Location-aware scalable service composition. Softw. Pract. Exp. 53(12): 2408-2429 (2023) https://hdl.handle.net/10630/31576 10.1002/spe.3260 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Wiley