ona Xia

E-DPSO Algorithm Design and Demonstration about Dynamic Selection and Merging Process of ac-Service Flow

Based on the research and development about Web service, the business platform topology of ac-service flow is deepened from architecture-centric perspective. For Web service’s dynamic composition and self-adaptation meeting user requirement, architecture-centric merging among flows is put forward, in order to get this goal, optimizing previous flow granularities’ selection and composition. To satisfy flexible building and mapping of flows, the evolution algorithm E-DPSO based on discrete particle Swarm is designed. With dynamic character of service composition and the integrity of flow sequence, ac-service flow’s implementation strategy is given and finished demonstration. ac-service flow is viewed as the business organization clue, the platform framework structure of service implementation process is built for planning and decision-making.

The Membrane Activity’s Design and Evolution about acE Service Flow

Starting from semantic composition of services, acE service flow as architecture researching point, this paper has designed and argued dynamic flow evolution mechanism. First of all, the architecture service topology concept is raised, to achieve dynamic composition of participation granularities and adaptive evolution for flow, the corresponding model expression and flow composition rule’ collection is given; Then, equivalent service logic and flow evolution relation is organized, π-calculus mechanism is extended, and is to complete opening flexible architecture requirement and autonomous migration process driven by membrane activity. Finally, the decision-making and planning mechanism about acE service flow is finished analyzed, and furthermore, the validity and feasibility of this researching project is verified.

Dynamic Topology Sequence of Composite Service Supported by Architecture-Centric Decision-Making Mechanism

Helped by trust-aware theory, this paper makes out decision-making mechanism controlled by architecture-centric concept, about self-learning, self-(decision-making) and self-planning of platform, trust-aware pre-condition is infiltrated. Based on this, the service granularity sequence of platform business is defined and divided, then, service composition rules are built that serve for architecture-centric decision-making mechanism.

Self-adaptive Service's Selection and Adjustment for Agent Pragmatics in Architecture-centric System

Self-adaptive architecture agent is extended to get agent pragmatics, then, the union integration platform is built based on architecture-centric agent pragmatics; Service is viewed as the basic business unit, agent pragmatic is corresponding cognitive carrier, service topology relationship is analyzed to get selective serial routing. Here, self-adaptation is the encapsulation goal between carrier and service, it is to sum up lightweight pragmatics replica, and achieve route learning evolution and implementation sequence algorithm of coarse-grained logical service adjustment.