Abstract: A privacy-enhanced federated decision-making method, apparatus, system and a storage medium are provided for training a global decision-making model for ensuring data privacy of data terminals. Each federated data terminal reports information about a local decision-making model to a federated coordinator, and a federated coordinator trains a global decision-making model by using the information about the local decision-making model reported by the federated data terminals. The trained global decision-making model can be used for coordinating decision making of the federated data terminals, such as coordinating a decision-making sequence of the federated data terminals or coordinating whether the federated data terminals need to participate in a decision-making task. The method resolves the problem of difficult coordination across the data terminals, and improves the decision-making accuracy of the data terminals.

Abstract: The invention discloses a cross-layer network fault recovery system and method based on configuration migration.

Abstract: The invention discloses a cross-layer network fault recovery system and method based on configuration migration.

Abstract: Embodiments provides a low-latency data switching device and method. The device includes at least two boundary hardware modules and at least one optical forwarding module. The first boundary hardware module is configured for matching, with a first data forwarding table, signaling message information for a signaling message sent by a host router, acquiring a service request sent by the host router, and searching a second data forwarding table for an optical channel for the service request. The at least one optical forwarding module is configured for mapping the service request to a second service request, and forwarding the second service request in sequence via the optical channel, the second boundary hardware module is configured for acquiring next-hop routing information of the data switching device for the service request, and forwarding the service request to the next-hop router of the data switching device.

Abstract: Embodiments provides a low-latency data switching device and method. The device includes at least two boundary hardware modules and at least one optical forwarding module. The first boundary hardware module is configured for matching, with a first data forwarding table, signaling message information for a signaling message sent by a host router, acquiring a service request sent by the host router, and searching a second data forwarding table for an optical channel for the service request. The at least one optical forwarding module is configured for mapping the service request to a second service request, and forwarding the second service request in sequence via the optical channel, the second boundary hardware module is configured for acquiring next-hop routing information of the data switching device for the service request, and forwarding the service request to the next-hop router of the data switching device.

Abstract: Online TCP traffic identification using features in the head of the data flow wherein parameters of a number of packets in the head of the data flow such as packet length are extended with modified packet interval time and so on to establish the protocol features library according to the joint probability distribution. The protocol type of the data flow is obtained through comparing the packets features in the head of the data flow with the protocol features library. Data flow separation module, features extraction module, classification arbitration module and protocol features library module are included. The present invention weakens the impact that the round-trip delay has significantly on the protocol features, can accurately identify various TCP-based application-layer services and support online traffic identification. The identification process is suitable for hardware devices implementation and can be used in devices and systems that need online traffic identification in high-speed backbone network.

Abstract: Online TCP traffic identification using features in the head of the data flow wherein parameters of a number of packets in the head of the data flow such as packet length are extended with modified packet interval time and so on to establish the protocol features library according to the joint probability distribution. The protocol type of the data flow is obtained through comparing the packets features in the head of the data flow with the protocol features library. Data flow separation module, features extraction module, classification arbitration module and protocol features library module are included. The present invention weakens the impact that the round-trip delay has significantly on the protocol features, can accurately identify various TCP-based application-layer services and support online traffic identification. The identification process is suitable for hardware devices implementation and can be used in devices and systems that need online traffic identification in high-speed backbone network.

Abstract: Provided is a cross-domain parallel recovering method and system in multi-layer and multi-domain distributed optical network (MMDON). Based on inter-domain LRA (Link Recovery Algorithm), the routing devices establish inter-domain WP (Work Path) and then build inter-domain RP (Recovery Path) based on WP. Inter-domain RPs will be established by using PSM (Parallel Signaling Mechanism) when link failure occurs on inter-domain WPs. That realizes the establishments and of inter-domain RP, and improves the survivability of inter-domain services. Inter-domain RPs are established or engaged before the establishing of WPs, while the intra-domain paths are established after the failure testing. This mechanism ensures the availability of inter-domain resources during recovery and avoids resource waste caused by pre-establishing intra-domain RPs. Moreover, parallel signaling mechanism can decrease the recovery time, and can handle inter-domain link failures simultaneously to avoid queue-waiting.