Jiguo Yu

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.

The barycenter's design and service sequence's evolution about service-driven self-adaptive architecture-centric system

Architecture-centric system is s self-adaptive goals implementation platform, requirement is processed as business services, which is the driven power, agent internetware is built as granularity services carrier, achieves autonomous barycenter model about architecture rules, completes its self-adaptive reasoning, in order to get services discovery and design. About flexible real-time business sequences logic, service agents decision-making cluster is the learning adjustment mechanism, which can finish implementation topologys evolution of architecture-centric service.

Architecture-Centric Eagent Division and Self-Adaptive Process Design Driven by D-Role

Architecture-centric system is analyzed by agent internetware, then the self-adaptive agent architecture is achieved. From belief, decision-making, intention point of view, it shows the flexible position of goal, which is the model statement level, and deepens some common description about the correlative environment and abnormity. The self-adaptive topology granularity unit of BDI and Agent is optimized, forms the basic internetware factor: Eagent, advances the dynamic binding technology related to the polymorphism concept, integrates the architecture-centric flow logic, in order to get the self-adaptive process algorithm and the unification of internetware container that D-Role is the basic automatic system role.

The Research about Individual Internetware Granularity's Division and Flexible Architecture Integration of "Software Engineering" Curriculum Design

About the parallel infiltrations characteristics of Software Engineerings theory and practice in undergraduate stage, this paper puts forwards the point of individual internetware granularitys division and flexible architecture integration Horizontal Direction-Vertical Road. That is, Horizontal Direction achieves sub-goals division and final class-group goals synchronized developing and effective integration, Vertical Road is to follow up software life-cycles knowledge. One semester is viewed as softwares develop period, it is to get the flexible grasping and skilled practicing of software engineering curriculums teaching and learning.

Notice of Retraction Active Internetware's Refining Design and Service Sequence's Combination and Evolution Based on Architecture-Centric Platform

Integrating active internetwares position and viewing architecture-centric platform, this paper analyzes aggregation evolutions drawback about state-space explosion of architectures granularity, and completes corresponding expansions evolution of granularities. Then, using refinement method and counterexample validation theorem, Architecture-centric Kripke service evolution structure is built and self-adaptive internetwares abstraction is processed, and designs autonomous criterions strategy and sequence process, and finishes the formal effective strategys verification, optimal topologys building of corresponding granularities about sequence services process and active thoughts logic, Furthermore, it is to enhance the overall degree of architecture-centric business flows adaptation.

The Self-Adaptive Routing Evolution Model's Research about Internetware of Architecture-centric System

In order to achieve the self-adaptive architecture-centric services selection, this paper put forward the design principle of Topology Routing about Service Nodes, a network structure is built that agent is viewed as the basic internetware granularity unit; By virtue of P2P environment such as open, dynamic, varied and more controllable evolution character, it is done to expand the self-adaptive learning ability about agents belief, decision-making and intention, then gets virtual derivative agents copy. About the granularity collection of service unit, it builds self-adaptive multiple internetware engine for architecture-centric system, in order to get the Co-Routing evolution compounding about System-Facet-Peer, which can reduce the synchronous flexible processing steps and enhance multi-level pervasive controlling and decision-making right of architecture-centric main ability.

The Trust Measurement Algorithm of Agent Internetware for Architecture-Centric Evolution Model

Architecture-centric system is the logical model about self-adaptive goals achievement of software. Based on this concept, requirement service is the driven power, the strategy definition of self-learning and self-(decision-making) is viewed as inner evolution of architectures business mechanism. Agent is the basic internetware granularity of architecture, it is to build an architecture-centric reaction and evolution implementation sequence. Dividing agents learning and decision-making thinking elements, from the center nerve point of trusts, autonomous Feedback Learning measurement process is designed, furthermore, evolutes and constricts the flexible structure of architecture. Keywords-Architecture-centric; Evolution Model; Agent; Internetware; Trust Requirement; Feedback Learning; Reaction I. FORWARD Architecture-centric system supported by Internet environment is formed by a series of distributed independent computing resources, and it is the union process to implement special tasks(1), the platforms business is divided into kinds of granularity, then achieves the flexibility, multi-objectives and continuous reacting, in order to get service sequence implementations autonomy, collaboration, responsiveness and evolution about Architecture-centric definition, this local architecture logic unit is named as Internetware(2). Internetware is the new basic implementation paradigm, which can capture predictable state, and corresponding connection mechanisms, and completes the self-adaptive process of architecture-centric system between inner and outer(3). The flexible architecture-centric topology process requires architecture and granularity with autonomous reasoning and supporting, and the trusts organic analysis and overall driven service decision-making among granularities. II. THE ARCHITECTURE-CENTRIC EVOLUTIONS MODELING