ROUTING STRUCTURE AND METHOD OF WAFER SUBSTRATE WITH STANDARD INTEGRATION ZONE FOR INTEGRATION ON-WAFER

    公开(公告)号:US20240012977A1

    公开(公告)日:2024-01-11

    申请号:US18328800

    申请日:2023-06-05

    Applicant: ZHEJIANG LAB

    CPC classification number: G06F30/396 H01L27/0207 G06F2119/22

    Abstract: A routing structure and a method of a wafer substrate with standard integration zone for integration on-wafer, which comprises a core voltage network, an interconnection signal network, a clock signal network and a ground network, wherein the core voltage network and the interconnection signal network belong to a top metal layer, the clock signal network is located in a inner metal layer, and the ground network is located in a bottom metal layer. The pins provided on the standard zone include core voltage pins, interconnection signal pins, clock signal pins, ground pins, and complex function pins. The complex function pins are directly connected to the outside of the system by TSV at the bottom of the wafer, and the other pins are connected by their signal networks. The present disclosure solves the yield problem with few metal layers of the wafer substrate for SoW.

    METHOD AND SYSTEM FOR CONTROLLING ID IDENTIFIER NETWORK MOBILITY BASED ON PROGRAMMABLE SWITCH

    公开(公告)号:US20220345872A1

    公开(公告)日:2022-10-27

    申请号:US17727838

    申请日:2022-04-25

    Applicant: Zhejiang Lab

    Abstract: The present invention relates to the technical field of network communication, in particular to a method and system for controlling ID identifier network mobility based on a programmable switch. The system includes mobile terminal nodes, mobile access points, programmable switching nodes and control nodes, wherein the control nodes include local control nodes and a global control node, the mobile terminal nodes are connected and communicated with the mobile access points through wireless data links, the mobile access points are connected and communicated with the programmable switching nodes through wired data links, and the programmable switching nodes, the local control nodes and the global control node are connected and communicated in order through control links.

    DATA STORAGE SYSTEM AND METHOD, STORAGE MEDIUM, AND ELECTRONIC DEVICE

    公开(公告)号:US20240422057A1

    公开(公告)日:2024-12-19

    申请号:US18555805

    申请日:2023-07-13

    Applicant: ZHEJIANG LAB

    Abstract: A data storage system includes: a server, a client and a control end; the control end is configured to generate a configuration file, and send the configuration file to the client and the server; the client is configured to generate an encapsulation rule based on the configuration file, generate a storage request, perform encapsulation on the storage request to obtain a message packet, and send the message packet to the server; the server is configured to generate an extraction unit and an action unit based on the configuration file, analyze the message packet to obtain the target information, write the target information into each extraction unit, read action information and determine an action unit matching the action information as a target action unit, and execute the storage actions corresponding to the target action unit to store byte stream data of the target information.

    METHOD AND DEVICE FOR IDENTIFICATION MANAGEMENT AND OPTIMIZED FORWARDING IN LARGE-SCALE POLYMORPHIC NETWORK

    公开(公告)号:US20240171509A1

    公开(公告)日:2024-05-23

    申请号:US18542823

    申请日:2023-12-18

    Applicant: ZHEJIANG LAB

    CPC classification number: H04L45/38 H04L45/74 H04L69/22

    Abstract: A method and a device for identification management and optimized forwarding in a large-scale polymorphic network, the method comprising the follow steps: S1, constructing a polymorphic backbone network; S2, modality identification management; S3, determining a modality to be forwarded; S4, configuring a flow table for a switching node; S5, receiving a packet by a balanced distributor, and preliminarily parsing the type of the packet; S6, parsing key field information in the packet, determining the switching nodes to be allocated according to the key field information, and transmitting the key field information to the corresponding switching node; S7, the switching node matching the stored flow table according to the key field information to determine a correct forwarding action.

    DQN-BASED DISTRIBUTED COMPUTING NETWORK COORDINATE FLOW SCHEDULING SYSTEM AND METHOD

    公开(公告)号:US20240129236A1

    公开(公告)日:2024-04-18

    申请号:US18454782

    申请日:2023-08-23

    Applicant: ZHEJIANG LAB

    CPC classification number: H04L47/12 G06N20/00 H04L41/16

    Abstract: The present application discloses a DQN-based distributed computing network coordinate flow scheduling system and method. The method includes: establishing environmental feature data based on distributed computing task information and a congestion situation of a port queue in a programmable forwarding platform on a data plane, establishing and training a deep reinforcement learning intelligent agent based on an action value network and a target network in DQN, and the deep reinforcement learning intelligent agent outputting abstract actions; receiving, by a policy mapper, the abstract actions and mapping them into an executable coordinate flow scheduling policy; executing, by the programmable forwarding platform, the executable coordinate flow scheduling policy and updating the congestion situation of the port queue; and recording, a policy gainer, a completion time of a distributed computing task as a real-time reward of the deep reinforcement learning intelligent agent and iteratively optimizing the deep reinforcement learning intelligent agent.

    REINFORCEMENT LEARNING AGENT TRAINING METHOD, MODAL BANDWIDTH RESOURCE SCHEDULING METHOD AND APPARATUS

    公开(公告)号:US20240015079A1

    公开(公告)日:2024-01-11

    申请号:US18359862

    申请日:2023-07-26

    Applicant: ZHEJIANG LAB

    CPC classification number: H04L41/16 H04L41/40 G06N20/00

    Abstract: The present disclosure discloses a reinforcement learning agent training method, modal bandwidth resource scheduling method and apparatus. The reinforcement learning agent training method utilizes a reinforcement learning agent to continuously interact with a network environment in a polymorphic smart network to obtain the latest global network characteristics and output updated actions. By adjusting the bandwidth occupied by modals, a reward value is set to determine an optimization target for the agent, the scheduling of modals is realized, and the rational use of polymorphic smart network resources is guaranteed. The trained reinforcement learning agent is applied to the modal bandwidth resource scheduling method, and can adapt to networks with different characteristics, and thus can be used for intelligent management and control of polymorphic smart networks and has good adaptability and scheduling performance.

    POLYMORPHIC NETWORK SYSTEM AND POLYMORPHIC NETWORK OPERATION METHOD

    公开(公告)号:US20250016070A1

    公开(公告)日:2025-01-09

    申请号:US18528054

    申请日:2023-12-04

    Applicant: ZHEJIANG LAB

    Abstract: A polymorphic network system and a polymorphic network operation method are provided. From top to bottom, the polymorphic network system sequentially includes: an application layer configured to provide network applications corresponding to network service requirements; a service layer configured to determine network capability requirements for implementing the network applications; a mode layer configured to provide corresponding network modes based on the network capability requirements; and an environment layer configured to provide network infrastructure that is capable of supporting operation of the network modes. The network infrastructure is configured to load and transmit messages corresponding to the network applications. The messages are capable of being generated, encapsulated, decapsulated, and routed and forwarded based on the network modes corresponding to the network applications.

    DATA PROCESSING SYSTEM AND METHOD
    10.
    发明公开

    公开(公告)号:US20240340341A1

    公开(公告)日:2024-10-10

    申请号:US18565436

    申请日:2023-07-05

    Applicant: ZHEJIANG LAB

    CPC classification number: H04L67/1097 G06F9/54

    Abstract: The present disclosure provides a data processing system and a data processing method. The system includes: a client interaction module, a subscribing and publishing module, a storage module, and a sub-database management module. The client interaction module is configured to: receive an interaction request sent by a client, analyze the interaction request to obtain an analyzing result, and based on the analyzing result, determine a process type to be started and start a response process of the process type, and repackage the interaction request and send the repackaged interaction request to the response process, where the process type includes a first process type corresponding to the subscribing and publishing module, a second process type corresponding to the storage module and a third process type corresponding to the sub-database management module.

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