36 results about "Agent architecture" patented technology

A high availability (HA) Identity Bridge (IDBridge) between an on-premises Active Directory (AD) and a cloud-based Identity Cloud Service (IDCS) is provided. A connection to an AD, coupled to a first network, is established. A connection to an IDCS, coupled to a second network, is established, the IDCS including a System for Cross-domain Identity Management (SCIM) directory. A plurality of selectable AD OUs are displayed in a GUI, and a selection of one or more OUs is then received. Each member group of the selected OUs is displayed in the GUI, and a selection of one or more member groups of the selected OUs is then received. The users of the selected OUs and the selected member groups of the selected OUs are monitored to identify users and groups that have been added, modified or deleted. The identified users and groups are then synchronized to the SCIM directory.

A method and architecture for efficiently solving complex distributed problems uses coevolutionary agents incorporating evolutionary algorithms located at different nodes in a distributed network. The coevolutionary agents conduct localized database searches and evolve at their respective nodes while sharing information with other coevolutionary agents working the same problem. Results or solutions to the problem posed are available at each network node containing a coevolutionary agent working the problem.

A swarming agent architecture provides a distributed, decentralized, agent-based computing environment applicable to ground-based surveillance. The approach, called Sensor Network Integration through Pheromone Fusion, or “SNIPF,” provides an end-to-end demonstration that integrates self-contained sensor/communication nodes with novel swarming algorithms to detect foot and vehicular movement through a monitored area with minimal configuration and maintenance. A plurality of computational nodes distributed within the environment and, depending upon the way in which they are deployed, the various nodes are operative to sense the local environment, receive a message from a neighboring node, and transmit a message to a neighboring node. Given these capabilities, the nodes can collectively determine the presence and/or movement of a target and communicate this information to a user. Though not required, the system may include nodes that are capable of collectively determining the speed and heading of a target, and the gathered intelligence may be communicated to users within, and external to, the environment. A particularly useful configuration may include one or more ‘free’ nodes having relatively limited communications and computational power, and one or more anchor nodes equipped with GPS and/or long-distance communications capabilities.

A software architecture at a target computer is provided in which it is desired to trigger execution of target processes by an agent process which receives operation specifying data which has been autonomously generated by an initiating computer. The agent process parses this operation specifying data, which may be XML data, to identify the target processes concerned. The target processes are independent of the agent process and the agent process triggers their operation and passes any required parameter data to them. The target processes may also return data to the initiating computer via the agent process and embedded within the XML data structure.

A distributed multiprotocol proxy in the computer network technical field and method of exchanging center system message; in the present invention, a center and agent management model are constructed; the agent sends message exchanging form XML file to the center in which comprises an unique ID identifier distributed to the agent by the center; after the center verifies that the agent is legal, the agent and the center exchange the message through the XML file; the center monitors the state of the agent in real-time through the analyzing XML file sent by the agent, and processes protocol collection data at the late stage; the center sends the configuration file, management file to the agent through synchronous mechanism so as to realize the dynamic management to the agent. The present invention realizes the independency between the application protocol and message, the independency between the center and the agent, improves the mutual operation ability between the center and the agent, strengthens the safety, reliability between the center and the distributed agent communication, effectively and rapidly solves the problems of communication and cooperating between the center and agent framework.

The invention relates to a resource allocation and unloading decision-making method based on multi-agent architecture reinforcement learning, and belongs to the technical field of mobile communication. According to the method, excitation constraints, energy constraints and network resource constraints are considered, wireless resource allocation, computing resource allocation and unloading decisions are jointly optimized, and a random optimization model for maximizing the QoE of a total user of a system is established and converted into an MDP problem. Secondly, according to the method, an original MDP problem is subjected to factorization, and a Markov game model is established; then, the method provides a centralized training and distributed execution mechanism based on an actor-evaluator algorithm. In the centralized training process, multiple agents obtain global information through cooperation, resource allocation and task unloading decision strategy optimization are achieved, andafter the training process is finished, all the agents independently conduct resource allocation and task unloading according to the current system state and strategy. According to the invention, theQoE of the user can be effectively improved, and the time delay and the energy consumption are reduced.

The invention relates to distributed virtual machine agent architecture based on a cloud environment. A user virtual machine is expanded by use of the credible technology so as to create required environments suitable for various modules in the virtual machine agency, and the whole design system has flexibility and expandability and is cross-platform; the virtual machine agency is dynamically generated and has a certain life cycle, so that the function modification and expansion are simple and convenient. The invention further relates to a data integrity guaranteeing method of the distributed virtual machine agent architecture based on the cloud environment, the data is monitored in real time by use of a dynamic virtual machine agent technology based the cloud environment, the integrity of the data is effectively guaranteed, and the security and efficiency of the actual work are improved.

The invention discloses a model center construction method among heterogeneous scheduling systems based on agency service, comprising: constructing a model service agent architecture based on on-demand sharing; and creating a bidirectional subscription issue method based on a plant-station model version, a model center model maintenance privilege management method, and a heterogeneous scheduling subsystem and model center area model comparison method. A model center can realize power grid model distribution and maintenance and whole network instant sharing of whole network physical model consistent storage, solve the problems of complex flow, poor instantaneity, incomplete splicing data, poor expansibility, etc. of a distributed modeling method of forming a large power grid model in a model splicing mode, and guarantee great consistency of each power grid model connected to a model center system. The model center construction method among heterogeneous scheduling systems solves the problems of model fusion, interaction efficiency, security and model partition maintenance in the construction of a model center among heterogeneous scheduling systems.

The invention discloses an intelligent factory management and control model and a management and control method thereof, and belongs to the field of intelligent manufacturing. According to the method,establishing a hierarchical and modular micro-service-multi-agent architecture parallel to an actual manufacturing system, carrying out fine-grained division, and establishing a production task as adistributed processing micro-service model and an attribute model; dividing a multi-agent model according to the function distinction of production resources; and establishing a service management model of the parallel system based on data and knowledge hybrid driving. And for different manufacturing systems, analyzing the relationship among the task attributes, the micro-services and the multipleagents, and selecting an optimal agent path by using an adaptive evolution algorithm. The micro-service-multi-agent architecture disclosed by the invention has the capability of finely controlling production resources by a multi-agent system, meanwhile, the support of the micro-service architecture on customized business requirements can be realized, and a model basis is provided for solving a self-adaptive scheduling problem in a production process.

The invention discloses a remote file control system based on routers. The remote file control system comprises a server and the routers. The server comprises a server API transit and a server channel terminal. Each router comprises an operating system, an Http file proxy framework, a router channel terminal, an interface layer, a hardware abstraction layer, an API framework and storage equipment. The server channel terminal is communicated with the router channel terminals. Each operating system is an embedded Linux system OpenWrt, each Http file proxy framework is an Nginx proxy server, access urls are planned in a unified mode, and resources on the communicated equipment are stored in a transparent mode.

The invention discloses a multi-Agent based network direct sales system. The system comprises an interface Agent module, a management Agent module, an evaluation Agent module, a search Agent module and a purchase Agent module, wherein the interface Agent module is coupled to the management Agent module; the management Agent module is coupled to the interface Agent module, the evaluation Agent module, the search Agent module and the purchase Agent module; the evaluation Agent module is coupled to the management Agent module; the search Agent module is coupled to the management Agent module; and the purchase Agent module is coupled to the management Agent module. A conventional direct sales system application architecture is not a multi-Agent architecture; and the multi-Agent based network direct sales system has the characteristics that the advantages of a multi-Agent technology are combined with a commercial behavior of direct sales, and a direct sales online shopping behavior in the reality is truly simulated, so that the direct sales system is more active and flexible, adaptive, extensible and the like in comparison with the conventional system.

An agent architecture may be provided with base functionality that allows it to run without executing any applications. The base application need not have any modules. When functionality is desired, modules may be added. The agent may receive policies and procedures from a controller, and executes the modules based on the policies and procedures. It may then return and report information. This allows a system to be designed that doesn't have to be recompiled upon changes to individual tasks or applications, which greatly eases development of new tasks and applications.

A method implemented by a network element functioning as a home agent (HA) for a mobile node (MN) communicating with a corresponding node (CN) using Mobile Internet Protocol version 6 (MIPv6), the method including selecting by the HA a virtual home agent (VHA) in the network to provide home agent services to the MN with a better quality of service than the HA, sending a flow switch request (FSR) message to the selected VHA, the FSR message including a home keygen token, an address of the CN and a care-of address of the MN, the FSR message to cause the selected VHA to direct the CN to send data traffic for the MN to the selected VHA instead of the HA, and receiving a flow switch acknowledgement (FSA) message from the VHA indicating that the selected VHA has successfully redirected the data traffic from the CN to the MN.

The invention provides an Agent construction method and an Agent construction device of an information physical fusion system CPS, wherein the method and the device belong to an information field. The method and the device are used for settling a problem of incapability of satisfying a requirement of fusion of calculation, communication and control through combining software Agent and hardware Agent. The method comprises the steps of according to a time-space event, determining eight-tuple information of a first time-space event from the time-space event, wherein the eight-tuple information is <CPS-Agent ID,Ability,Execution Condition,Status,Priority,Parameters set,Task,Related CPS-Agents>; and determining a CPS-Agent architecture and a CPS-Agent construction template of the first time-space event according to the eight-tuple information, wherein the CPS-Agent architecture comprises a perception component, a real-time knowledge database, a decision component, a real-time inference rule and an optimization component. The perception component comprises inner system communication and external physical environment perception and is used for supplying a basis for state migration of the CPS-Agent and interaction with the external physical environment. The CPS-Agent construction template comprises a CPS-Agent information block and a CPS-Agent execution block.