User preference-based automatic orchestration of web services using a multi-agent

Multi-Agent Planning for Automatic Geospatial Web Service Composition in Geoportals

“…In the information technology community, few studies have used multi-agent systems for the automatic composition of web services to overcome the above-mentioned issue. Vaithiyanathan and Govindharajan [33] proposed a system in which two agents cooperated with each other to generate composite W3C (World Wide Web Consortium) web services. However, in their system, the composition is done by one of the agents and the other agent is just responsible for the search and discovery of available web services.…”

Designing service-based applications in the presence of non-functional properties: A mapping study

“…Composition Algorithm [193], [198], [105], [208], [77], [74], [90], [43], [8], [29], [154], [54], [143], [207], [17], [192], [103], [104], [201], [45], [56], [60], [189], [73], [81], [85], [87], [96], [102], [108], [162], [163], [30], [107], [202], [200], [199], [150], [153], [20], [188], [213].…”

“…SOC [198], [105], [47], [36], [131], [39], [145], [38], [197], [58], [142], [183], [91], [10], [4], [215], [120], [19], [21], [31], [45], [189], [212], [158], [1], [174], [164], [188], [191].…”

Research on Probabilistic Optimization to Dynamic Composition for Service Replacement

“…User often prefers to select optimal service planning to replace the failure service. For instance, the service planning with the high reliability will be prior to recommended to user [13][14].…”

“…It is no guarantee that a service can always be executed correctly, which should adapt and react to changings from time to time. The feasible way to handle the failed service is service replacement [9][10][11][12][13][14][15][16][17][18][19][20], including one-to-one mode and one-to-more mode. The one-to-one mode replacement substitutes the failed service with a new service selected from service repository, using backups predefined in configuration files.…”