Abstract
The paper examines the issue of improving the efficiency of service implementation in a service-oriented architecture (SOA) by integrating recommendation systems into the object request broker. The authors analyze the key problems that arise during the operation of two components of SOA: the service discovery pattern on the server side and the service registry usage pattern.For the service discovery pattern, the identified problems include the complexity of configuring the load balancer, the need for individual traffic balancing due to service heterogeneity, difficulties in balancing the load on the broker, the dynamic nature of request processing, as well as the complexity of monitoring and analyzing requests for anomaly detection and load forecasting.For the service registry usage pattern, the authors identified problems with unstructured data about services, lack of metadata about their functional capabilities, interfaces, availability, and quality, as well as limitations in service filtering mechanisms, which complicates the search and selection of services.As a solution, it is proposed to include a recommendation system in the load balancer and service registry. For the load balancer, it will provide traffic distribution optimization, automatic anomaly detection, load forecasting, resource utilization optimization, and adaptive management of request processing processes.For the service registry, the recommendation subsystem will allow dynamic updating of recommendations based on demand, grouping users by interests, providing context-sensitive recommendations, enriching user profiles, using collaborative filtering, and evaluating recommendation quality based on user feedback.The integration of recommendation systems can significantly improve the efficiency, performance, and user experience of SOA through personalized recommendations of relevant services that meet their specific needs. The authors consider this an important step in the development of service-oriented architecture.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.