115 results about "Network composition" patented technology

A system and method providing an environment for the composition, generation, integration and execution of business processes and / or transactions over a distributed computing-based network. In a preferred embodiment, a business process expert develops a business model by using a network browser to access the composition environment via the network. The preferred embodiment includes a Composer and a Player. The Composer allows a business process engineer to model the processes, process rules and data structures of an entity upon the basis of a plurality of software resources. The Player executes the modeled processes and access relevant data in real-time, according to rules and resources as related within a software structure generated by the business process engineer. The preferred embodiment dynamically constructs web pages based on the process, rule and data definitions prepared by a business process engineer / expert and does so through a Process Interpreter and Grammar Engine so as to encapsulate all the software resources necessary to complete the desired business process without the need of people programming, scripting or coding. Pages are constructed only when required, ensuring that the solutions are flexible, error free and based upon the most current business practices, providing agile, integrated, error free and real-time software solutions capabilities.

This invention generally relates to one or more computer networks having computers like personal computers or network servers with microprocessors linked by broadband 5 transmission means and having hardware, software, firmware, and other means such that at least one parallel processing operation occurs that involve at least two computers in the network. More particularly, this invention relates to one or more large networks composed of smaller networks and large numbers of computers connected, like the Internet, wherein more than one separate parallel processing operation involving more than one different set of computers occurs simultaneously and wherein ongoing processing linkages can be established between virtually any microprocessors of separate computers connected to the network. Still more particularly, this invention relates to business arrangements enabling the shared used of network microprocessors for parallel and other processing, wherein personal computer owners provide microprocessor processing power to a network, preferably for parallel processing, in exchange for network linkage to other personal and other computers supplied by network providers, including linkage to other microprocessors for parallel or other processing; the basis of the exchange between owners and providers being whatever terms to which the parties agree, subject to governing laws, regulations, or rules, including payment from either party to the other based on periodic measurement of net use or provision of processing power.

Systems and methods for managing a network are described. A view of current state of the network is maintained where the current state of the network characterizes network topology and network constituents, including network entities and network elements residing in or on the network. Events are announced that correspond to changes in the state of the network and one or more network elements can be configured accordingly. Methods for managing network traffic are described that ensure forwarding and other actions taken by network elements implement globally declared network policy and refer to high-level names, independently of network topology and the location of network constituents. Methods for discovering network constituents are described, whereby are automatically configured. Routing may be performed using ACL and packets can be intercepted to permit host to continue in sleep mode. The methods are applicable to virtual environments.

Systems and methods for, among other things, a utilization based load balancing system which controls the distribution of queries to an information retrieval system made up of a network of server clusters. In one embodiment, a server cluster allocates computational resources among computational tasks. These computational tasks are replicated across a given server cluster, typically such that those computational tasks requested more frequently have more replicas, and more resources allocated to them to fulfill the requests. The system applies a utilization metric to determine how much capacity a given task has available and uses this determination to determine the capacity available for the cluster as a whole. Load balancing is achieved by re-directing queries to another cluster in response to the utilization value for a given cluster reaching a threshold.

A technology is disclosed for achieving fast and reliable handover. According to this technology, in the network composition where a network coverage area of the cellular base station 105 and network coverage areas of plural WLAN AP (Wireless LAN access point) 110, 115, 120 and 130 overlaps, the roaming mobile node (mobile terminal) 100 stores the listened beacon information from each WLAN AP. The mobile node can promptly perform the handover procedures without waiting for listening to the next beacon by acquiring the beacon information of WLAN AP which is a handover target from the stored information at the instant of determining to do handover to a new WLAN AP. Furthermore, the mobile node can store information on stability of the network connection if it would be connected to each WLAN AP, and determine which WLAN AP is suitable for a handover target by considering the stability.

A system, methods and apparatus are described involving the self-organizing dynamics of networks of distributed computers. The system is comprised of complex networks of databases. The system presents a novel database architecture called the distributed transformational spatio-temporal object relational (T-STOR) database management system (dbms). Data is continuously input, analyzed, organized, reorganized and used for specific commercial and industrial applications. The system uses intelligent mobile software agents in a multi-agent system in order to learn, anticipate, and adapt and to perform numerous functions, including search, analysis, collaboration, negotiation, decision making and structural transformation. The system links together numerous complex systems involving distributed networks to present a novel model for dynamic adaptive computing systems, which includes plasticity of collective behavior and self-organizing behavior in intelligent system structures.

The invention relates to an aerogel composite material with a multi-scale and multi-network composite structure and a preparation method of the aerogel composite material, belonging to the technical field of inorganic composite materials. The aerogel composite material is formed by composition of an inorganic oxide gel network, a nano-cellulose gel network and a long glass fiber network, wherein the inorganic oxide gel network and the nano-cellulose gel network form an interpenetrating network structure at nano-scale, and the interpenetrating network structure and the long glass fiber network form the aerogel composite material after forming a composite structure at macro-scale. As the aerogel composite material provided by the invention is formed by multi-scale and multi-network composition, the mechanical properties of the aerogel material can be significantly improved, and the bulk aerogel composite material with low heat conductivity, low density and high specific surface area is obtained; and in addition, the preparation cost can be reduced by adopting a freeze-drying method which is relatively cheap and safe instead of a traditional supercritical drying method.

The invention provides a cooperation-based resource allocation method in a heterogeneous fusion network, which mainly solves the problem that resources of a traditional heterogeneous network cannot be fully utilized. The cooperation-based resource allocation method in the heterogeneous fusion network comprises the following implementation steps of: 1-, in the heterogeneous fusion network which consists of a network A and a network B, if the network A has resources directly accessed to a core network, applying resources from the network A by the network B and accessing the resources applied from the network A to the core network; 2-, sending a communication request to an access point a of the network A by an access point b of the network B and an authorized user of the network A to apply the resources; 3-, allocating the resources for the access point b of the network B by the access point a of the network A and transmitting the resources, and when the access point a of the network A cannot meet the requirement of the authorized user of the network A, enabling the authorized user of the network A to seek the cooperative transmission of the network B; and 4-, sending own data to the access point b of the network B by the authorized user of the network A of seeking cooperation, and after the data of a user of the network B and the data of the authorized user of the network A are fused by the access point b, applying the resources from the access point a of the network A to complete transmission. The cooperation-based resource allocation method in the heterogeneous fusion network can be used for optimizing the throughput of the heterogeneous fusion network.

The invention discloses a networking method for wireless mesh network nodes. The method comprises the steps: enabling each node in a wireless mesh network to receive a private protocol message broadcasted by each node in the mesh network, wherein the message at least carries address information of the node and function parameter information; acquiring the function parameter information of each node according to the private protocol message, and selecting the node with the highest level according to a selection strategy; determining the level information of the node relative to the highest level node according to the private protocol message forwarding path jump information, and broadcasting the level information of the node to each node in the wireless mesh network; and determining a mainnode according to the received information of each node level. According to the invention, the modes of the master node and the slave node are formed in the network, and the master node is arranged inthe network, so that the management of the mesh network is facilitated, the natural defects of the mesh network are overcome, and the mesh network is prevented from forming an invalid network.

The invention provides a sewage treatment effluent parameter prediction method based on a grey neural network composition model, the method comprises the steps: a historical influent parameter sequence x (t) is acquired and is accumulated to form an accumulation sequence y(t); according to the accumulation sequence y(t), a grey neural network is established and is utilized to predict historical effluent parameters, and in the prediction process, an improved particle swarm optimization is adopted to optimize the grey neural network; according to the optimized neural network, present effluent parameter prediction is performed; a Markov chain is adopted to correct obtained present effluent parameters.

The invention relates to a model training method based on reversible separation convolution. The model comprises a network for processing audios and a network for processing texts; the network for processing the audio and the network for processing the text respectively comprise a reversible separation convolution layer; the method comprises the following steps: acquiring voice data of a specifieddata pair in a network computing training set for processing the audio, obtaining a first high-dimensional vector, obtaining text data of a network calculation specified data pair for processing a text, and obtaining a second high-dimensional vector, wherein the training set is composed of a data pair formed by voice data and text data, and the specified data pair is any data pair in the trainingset; training an audio processing network and a text processing network on the training set through a loss function, wherein the loss function is a spatial distance between the first high-dimensionalvector and the second high-dimensional vector; judging whether the loss function reaches a minimum value or not; and if so, judging that the training converges to obtain a twin network structure composed of the network for processing the audio and the network for processing the text. The model construction and training cost is saved.

A message transmission method and device are provided. The message transmission method, which is carried out by a node in a mixed network comprised of a private network including at least one node and a public network, includes: checking whether an address of a destination node to receive a message is recorded in a communication node list of the node, when the address of the destination node is not the address of the node; transmitting the message to the destination node recorded, when it is determined that the address of the destination node is recorded in the communication node list; and transmitting the message and the address of the destination node to a node having an address closest to the address of the destination node among the addresses recorded in the communication node list, when the address of the destination node is not recorded in the communication node list.