6 results about "Scalability" patented technology

Multiple service label types may be used in a given network element to optimize scalability of the data plane, minimize overhead associated with service label management, and allow new services to be offered. Service label management may be done in a dynamic manner so that service labels may be selected for routes in a dynamic fashion as the network changes. VPNs handled by the network element may have different types of service labels, and different routes within a particular VPN may be allocated different service label types. Service label requests may be stored on the data plane to allow a service label request database to be restored from the data plane upon a control plane failure, so that new service labels are not required to be allocated after a control plane failure.

The invention discloses a decentralized storage system based on a double-layer network. The system comprises a plurality of light nodes, a plurality of full nodes and a plurality of main nodes, wherein the light nodes, the full nodes and the main nodes form a block chain main network, and the main nodes form a main node processing network; the light nodes are used for storing user specific data, and the full nodes and the main nodes are used for storing a complete block chain based on a consensus mechanism in the block chain main network; and the main nodes are further used for storing the data without the consensus as the offline data in the main node processing network. According to the technical scheme provided by the invention, resource isolation is carried out by utilizing the main nodes, the system has high expandability, data processing constraints are reduced, and the data throughput of the system is effectively improved.

The invention provides an agent-based modularized logistics system simulation computation method. The method comprises the steps: firstly taking relation characteristics of logistics system components as division interfaces, aggregating corresponding entity types according to homogeneous relations and dividing into three entities, three interactive relations, three organization relations and an external environment influencing the logistics system; further separating the entities to form a plurality of attribute assemblies and action assemblies for modeling, and respectively describing a certain attribute or a certain action rule of each entity, wherein the attribute assemblies at least comprise platform assemblies; by taking the platform assemblies as containers, selecting suitable assemblies to be loaded on the platform assemblies to form entity models, and by combining attribute data and rule parameters and adding entity configuration information and inter-entity mutual relation information, generating an object entity under a simulation scene. The agent-based modularized logistics system simulation computation method provided by the invention has the advantages that the modeling is simpler, the model can be combined and assembled according to requirements, model reusability is great, expandability is good, and maintainability is also great.

The invention discloses a hyper-spectral image target detection system based on dual-computer communication, so as to solve the technical problem that the prior hyper-spectral image target detection system is poor in practicality. According to the technical scheme, the system comprises a data acquisition unit, a data transmission unit and a data processing unit, wherein the data acquisition unit realizes hyper-spectral image data acquisition; the data transmission unit can ensure the data not to be wrong in the transmission process; and the data processing unit finishes hyper-spectral image target detection and displays the result. Compared with the traditional hyper-spectral image target detection system based on a single computer, the hyper-spectral image target detection system based on dual-computer communication makes use of a CPCI bus of a backplane of an industrial control computer chassis for realizing data communication between a main control processor and an assisting processor; the detection processing task with huge computing amount is shifted to be executed by the assisting processor, multiple tasks in the case of hyper-spectral image target detection can be handled, and extendibility is good.