Abstract: A computer-implemented system and method for generating a minimum-cost circulation topology in a mesh network is provided. The system comprises one or more processors configured to receive a service request from a client computer and identify a group of services for the service request. The one or more processors are further configured to iteratively query a global registry for each of the group of services to obtain respective groups of dependent service instances, generate an adjacency table including a plurality of service dependency paths identified from the respective groups of dependent service instances. The system determines a minimum-cost service dependency path by applying a predetermined cost algorithm on the adjacency table and executing a first service instance of the minimum-cost service dependency path and route the service request to the second service instance in the dependency path.

Abstract: A computer-implemented system and method for generating a minimum-cost circulation topology in a mesh network is provided. The system comprises one or more processors configured to receive a service request from a client computer and identify a group of services for the service request. The one or more processors are further configured to iteratively query a global registry for each of the group of services to obtain respective groups of dependent service instances, generate an adjacency table including a plurality of service dependency paths identified from the respective groups of dependent service instances. The system determines a minimum-cost service dependency path by applying a predetermined cost algorithm on the adjacency table and executing a first service instance of the minimum-cost service dependency path and route the service request to the second service instance in the dependency path.

Abstract: A method and apparatus for managing classes and keywords and retrieving advertisements in a mobile station (110) is disclosed. A classifier (120) analyzes the user-consumed content being sent, received, or simply accessed locally by an application running on the mobile station and extracts key-phrases from the user-consumed content and classifies the key-phrases using the stored classes and keywords and fetches an advertisement from its local advertisement database (135) based on the class:keyword. When there is no relevant class, keyword, or advertisement found for the key-phrase, the classifier (120) updates a learning database (123) with the key-phrase. Then, upon receiving a trigger from an attribute unit (155), an association engine (150) reads the learning database (123) and extracts any stored key-phrases from the learning database (123). Based on the key-phrases, the association engine (150) requests the network (190) to provide data such as class, keywords, and advertisements.