23 results about "Internet data center" patented technology

The invention discloses a multi-dimensional Internet data center cost analysis system and analysis method, and the method comprises the steps: building a data interface platform, carrying out the butt joint with a data source, and automatically collecting multi-dimensional cost data; establishing a multi-level data aggregation model based on a time sequence, and performing data integration according to a plurality of analysis dimensions; a hierarchical calculation engine is adopted, derivative indexes are obtained through further calculation according to the basic indexes, cost allocation results and related data are obtained through calculation of the derivative indexes, and the results are visually displayed; according to the method, automatic acquisition, multi-dimensional integration, precise calculation and visual display of the IDC cost are realized based on an intelligent fusion technology of multi-source heterogeneous data and multiple dimensions of business rules, and powerful decision support is provided for IDC operation management.

The embodiment of the invention relates to a service transmission method, a non-AP MLD and a communication system. The service transmission method is applied to a non-AP MLD, and the method comprises the following steps: if a Wi-Fi service and an IDC service exist between the non-AP MLD and an AP MLD, determining transmission operations of the Wi-Fi service and the IDC service according to that an STA attached to the non-AP MLD is a TXOP holder or a TXOP Responder of a current TXOP and whether the IDC service and the Wi-Fi service exist in the same link; wherein in the transmission operation, the non-AP MLD does not adjust a quality of service data frame retransmission times (QSRC) parameter of the PPDU of the Wi-Fi service; wherein the STA attached to the non-AP MLD is a receiver or a transmitter of the IDC (Internet Data Center) service, and the STA attached to the non-AP MLD is a receiver or a transmitter of the IDC service.

A system includes at least one server and a power supply having multiple power supply units. After system boot-up, all power supply units in the power supply are turned on for supplying power to the at least one server. Next, the maximum output power value of the power supply and the conversion efficiency table containing the relationship between the loading rate and the conversion efficiency of the power supply are acquired, and the real-time conversion efficiency of the power supply is calculated. When it is determined based on the real-time conversion efficiency and the conversion efficiency table of the power supply that the power supply is not currently operating with an optimized conversion efficiency, one or more power supply units in the power supply are turned off or turned on according to a predetermined rule.

The invention relates to the technical field of data management, and discloses an Internet data center information security management method and system, and the method comprises data in-storage management, data storage management and data out-storage management. The system corresponds to the method. According to the information security management method and system for the Internet data center, closed-loop management of data receiving-data storage and data distribution of the data center is realized through data in-storage management, data storage management and data out-storage management, and in the data storage, the stored data is modulated and encrypted, so that the security of the data center is improved. Therefore, the data stored in the data center is stored in an encrypted form, so that the corresponding dangerous source cannot directly obtain the corresponding data even if network security vulnerabilities occur, and the security of data storage is ensured.

The invention discloses a composite refrigerating system and a control method, and relates to the technical field of refrigerating assemblies of internet data centers and the like. According to the specific implementation scheme, the system comprises a first refrigerating system, a second refrigerating system, a temperature detector and a controller; refrigerants of the first refrigerating system and the second refrigerating system are different; the controller is electrically connected with the temperature detector, the first refrigerating system and the second refrigerating system. The temperature detector is arranged on a first liquid supply pipeline of the first refrigerating system; the temperature detector is used for detecting the current liquid supply temperature of cooling liquid of the first refrigerating system; the controller is used for determining an adopted target refrigeration mode according to the current liquid supply temperature and a preset corresponding relation between the liquid supply temperature and the refrigeration mode; and according to the target refrigeration mode, the corresponding first refrigeration system and / or the corresponding second refrigeration system are / is controlled to start and operate.

The invention discloses an IDC (Internet Data Center) server resource dynamic scheduling method based on load prediction, relates to the technical field of server resource scheduling, and is used for solving the problems of high load prediction misjudgment rate and low resource scheduling efficiency in the prior art. According to the method, server addresses of IDC servers are obtained, cluster distribution information of the IDC servers in a server cluster is obtained on the basis of the server addresses, computing power resource demanded quantity of the IDC servers during execution on a cloud platform is obtained, resource capacity of residual computing power resources of the IDC servers is obtained, and monitoring thread pools of the IDC servers are established. The method comprises the steps of integrating computing power resource demand quantity and resource capacity as thread judgment constants, predicting a load state of each IDC server based on a monitoring thread pool, constructing different server cluster topological structures, and performing resource dynamic scheduling on a plurality of IDC servers initiating requests based on the load states of the IDC servers and the server cluster topological structures. And efficient and accurate server resource scheduling is realized.

The invention discloses an integrated energy system data flow-energy flow coupling scheduling method and device, and relates to the technical field of integrated energy system intelligent scheduling, the method is applied to an Internet data center integrated energy system, and the method comprises the following steps: constructing an Internet data center integrated energy system model; constructing a multi-objective optimization function and constraint conditions based on the Internet data center integrated energy system model; on the basis of the constraint condition, solving a group of non-dominated solutions of the multi-objective optimization function by using a quantum-enhanced multi-objective grey wolf optimization algorithm to obtain a Pareto optimal leading edge of an optimization objective; and using a membership function to obtain a globally optimal solution as a decision basis for data flow-energy flow coupling scheduling of the integrated energy system of the Internet data center. According to the invention, the toughness of the integrated energy system of the Internet data center under disaster conditions is enhanced.

The invention relates to an IDC cabinet heat dissipation structure and an air conditioning system, and the structure comprises a main air inlet channel which is disposed on a first side surface of a cabinet, is provided with an air inlet at the bottom, is sealed at the top, and is provided with a plurality of first openings which are communicated with a cabinet equipment cavity at the side surface; the main air outlet duct is arranged on the second side face of the cabinet, the bottom of the main air outlet duct is closed, the top of the main air outlet duct is an air outlet, multiple second openings communicated with the cabinet equipment cavity are formed in the side faces, and the first side face and the second side face are two opposite side faces of the cabinet; the injection valve is arranged at the bottom of the main air outlet duct, the direction of an injection opening is parallel to the axis of the main air outlet duct, and the injection valve is used for reducing air pressure in the main air outlet duct so as to drive air in the main air inlet duct to enter the main air outlet duct through the equipment cavity. Compared with the prior art, the main air inlet duct and the main air outlet duct are arranged, the equipment cavity is assumed in the main air inlet duct and the main air outlet duct, and the ejector principle can be formed by combining high-pressure airflow provided by the injection valve, so that low-temperature gas in the main air inlet duct is accelerated to pass through the equipment cavity, and the heat dissipation effect is improved.

The present invention discloses a calculation, planning, and configuration method for a maximum latency of a power distribution network for an Internet data center (IDC): first, proposing an information element model of an analog circuit, specifically including an information current, an information voltage, an information resistance, and an information conductance; then, building an equivalent circuit model of the information system for the power distribution network for the IDC based on the basic element model; next, building an information current and information voltage constraint model based on the equivalent circuit model; then, calculating a maximum latency of the power distribution network for the IDC in consideration of channel congestion and a load priority; and finally, formulating a planning and configuration solution for the IDC in the power distribution network to minimize a maximum latency of an entire system.

The invention relates to the field of electric digital data processing, in particular to an Internet data center fault detection method based on artificial intelligence, which comprises the following steps of: acquiring monitoring data of an Internet data center, marking the state of the monitoring data, calculating the dynamic sampling probability of each sample, constructing the space-time correlation tensor of each sample, and calculating the fault of the Internet data center according to the space-time correlation tensor. A weighted time sequence data matrix of each sample is generated, a fault classification probability is generated, a dynamic category weight coefficient of each category is calculated, and an adaptive loss function is calculated; calculating a layering gradient; and performing automatic fault diagnosis on newly collected real-time monitoring data by using the trained fault detection model. An existing detection method has the problem of poor adaptability, and the method provided by the invention is good in adaptability.

The invention provides a cooling system and a fault processing method and device, and relates to the field of artificial intelligence such as Internet data centers and distributed storage. The cooling system can comprise an outdoor unit and an indoor unit. The outdoor unit is arranged outside the data center, the indoor unit and the cabinet to be cooled are arranged in the data center, the indoor unit is arranged in an air conditioner area, and the cabinet is arranged in a machine room area; each outdoor unit corresponds to at least one indoor unit, and each outdoor unit and the corresponding indoor unit form a unit. The outdoor unit in each unit is used for dissipating heat generated by the corresponding indoor unit to the outside, and the indoor unit in each unit is used for sending cold air to a machine room area to provide a heat dissipation function for the cabinet.

Novelty-based CDN architecture provides CDN systems and methods of access and better user experience, where each edge server can be outside of an internet data center that can be fixed or mobile, can be intermittently connected to a multi-tiered content delivery network, can be connected to the last mile through Wi-Fi, and can be physically located in a place of interest.

This invention relates to the field of power supply technology, specifically to a modular multi-layer busbar compartment and its low-voltage integrated power module for IDC (Internet Data Center) server rooms. It solves the problem that the wiring harness routing inside a typical busbar compartment is fixed, requiring the replacement of the busbar compartment for temporary changes in wiring harness installation direction, which is time-consuming and cumbersome. The invention includes four frames, with multiple mounting frames detachably mounted on the inner side of each frame. Multiple equally spaced wiring harness snap-fit ​​modules are detachably mounted on the inner side of each mounting frame. Each wiring harness snap-fit ​​module includes a support rod, with mating pieces fixed at both ends. A sheet-shaped strong magnet is embedded in the inner side of the end of each mating piece. This invention uses a rotating block to change the orientation of the wiring harness slot by rotating the wire harness snap-fit ​​block outside the sheet-shaped strong magnet, and the sheet-shaped strong magnet can rotate outside the support rod, thereby changing the routing of the wiring harness.

The invention provides a cooling system and an air cooling system control method and device, and relates to the field of artificial intelligence such as internet data centers and distributed storage. The cooling system comprises a cooling unit, an air cooling system and a liquid cooling system; the cooling unit serves as a common heat dissipation cold source of the air cooling system and the liquid cooling system and is used for providing cooling liquid for the air cooling system and the liquid cooling system and cooling the cooling liquid which is returned by the air cooling system and the liquid cooling system and absorbs heat. The air cooling system is used for providing an air cooling heat dissipation function for the cabinet of the data center by using a cooling liquid, and the liquid cooling system is used for providing a liquid cooling heat dissipation function for the cabinet by using the cooling liquid.

CDN systems and methods that provide access and better user experience based on a novel CDN architecture in which each edge server can be intermittently connected to a multi-tier content delivery network outside of an Internet data center, which can be fixed or mobile, can be connected to the last mile via Wi-Fi, and can be connected to a multi-tier content delivery network via Wi-Fi. And can be physically located in an interested place.

The application provides a service monitoring method, device and equipment. The method comprises the following steps: obtaining a monitoring request for a plurality of target servers, wherein the monitoring request comprises the identification of each target server in the plurality of target servers and the monitoring operation on each target server; determining the target IDC corresponding to each target server according to the identification of each target server, and determining the target monitoring platform corresponding to each target IDC; obtaining the interface address of each target monitoring platform; polling and calling each target monitoring platform according to the interface address, and controlling each target monitoring platform to perform the monitoring operation on the corresponding target server according to the monitoring request. Thus, the operation personnel do not need to log in the pages of a plurality of monitoring platforms for operation, batch operation of the server monitoring of the plurality of IDCs is realized, batch and automatic management is realized, the operation of the operation personnel is facilitated, and the operation risk is reduced.

The invention discloses an IDC equipment AI aging prediction protection method based on full life cycle data, relates to the technical field of industrial artificial intelligence, and solves the problem of inaccurate IDC equipment aging prediction, and the method comprises the steps: collecting the operation feature data of all IDC equipment corresponding to the full life cycle in an Internet data center; equipment maintenance records of the IDC equipment are collected and analyzed, and calculation category weights corresponding to different IDC equipment are set according to analysis results; analyzing the operation feature data of the IDC equipment corresponding to the full life cycle and extracting features to obtain equipment training data corresponding to the IDC equipment; according to the method, multiple sets of equipment training data corresponding to the IDC equipment are used as a training set, an aging prediction model corresponding to the IDC equipment is constructed, the aging conditions of different IDC equipment are predicted based on the aging prediction model and output, the aging prediction model is established, and accurate prediction of the aging conditions of the IDC equipment is achieved.

This invention discloses a data synchronization method and terminal for Internet data centers. After the system generates data to be written, regardless of whether the IDC corresponding to the system is a primary IDC or a secondary IDC, the data to be written is directly written to that IDC. If the IDC corresponding to the system is a secondary IDC, the data to be written is written to the primary IDC, and a synchronization operation is triggered to synchronize the data from the primary IDC to all secondary IDCs. By prioritizing the writing of generated data to the local IDC, there is no need to wait for the primary IDC to synchronize the data to the secondary IDC corresponding to the system, as in the prior art. After the data to the secondary IDC corresponding to the system is written, the data can be queried at any time, avoiding the data synchronization delay problem and improving the response time of the data access interface, thereby improving the reliability of data synchronization and the efficiency of data access.

The invention belongs to the technical field of resource scheduling, and discloses a model reasoning computing power scheduling method and device for a data center, and the method comprises the steps that an intelligent service module obtains a capacity expansion and contraction triggering condition based on a reasoning framework; the monitoring component module calculates GPU operation data to obtain a GPU calculation core load rate and sends the GPU calculation core load rate to the intelligent service module; the intelligent service module determines a current load stage according to a GPU calculation core load rate and a capacity expansion and contraction trigger condition; and the intelligent service module determines the computing power scheduling range of the large language model in the local intelligent computing base resource pool and the cloud dynamic elastic computing power pool according to the current load stage, so that the large language model processes the user request based on the computing power scheduling range. Through collaborative analysis of the intelligent service module and the capacity expansion and contraction triggering condition, collaborative management of the local intelligent computing base resource pool and the cloud dynamic elastic computing power pool can be realized, and continuity and stability of computing power resource supply of an enterprise in an internet data center are guaranteed.

The cloud network system and the interaction method of the cloud network system provided by the application belong to the technical field of communication network. The cloud network system comprises a cloud virtual machine, an Internet data center and a controller. The cloud virtual machine comprises a layer 2 gateway, a virtual gateway and a point-of-presence switch. The Internet data center comprises a tunnel switch, a router and a virtual network switch. The controller is used for mapping the virtual network of the Internet data center to a virtual network tunnel, so as to allocate tunnel configurations for each virtual network tunnel in the cloud network system. A layer 2 virtual network tunnel is constructed between the tunnel switch and the layer 2 gateway based on the tunnel configurations. The layer 2 virtual network tunnel comprises an inner layer virtual network tunnel between the tunnel switch and the layer 2 gateway, an outer layer virtual network tunnel between the layer 2 gateway and the virtual gateway, an outer layer virtual network tunnel between the point-of-presence switch and the virtual gateway, and a dedicated line virtual network tunnel between the router and the point-of-presence switch.

The invention relates to a link state recognition method based on big data. The method comprises the following steps: collecting link state information of Internet data center equipment; inputting the link state information into a link state detection machine learning model, performing anomaly detection, and generating link state detection information; based on the link state detection information, whether the link state is abnormal or not is judged in combination with a preset condition rule, and if the link state is abnormal, link abnormity alarm information is generated; and based on the link state information, the link state detection information and the link abnormity alarm information, link state visual display result information is generated in combination with a link state digital twinborn model. By adopting the method, link state information can be comprehensively collected, abnormal links can be analyzed and identified in real time, and link states can be visually displayed.

The embodiment of the invention provides a data processing method and device, computing equipment and a storage medium, which are used for flexibly adjusting the capacity of an intermediate storage medium for caching. Comprising the steps that when a target service initiates data updating related to a target key, a first storage space directly initiates the data updating related to the target key to a database, and after the database feeds back a data updating result related to the target key, under the condition that the target key is stored in the first storage space, the target key and a value corresponding to the target key are deleted; the first storage space is a memory storage space provided by the Internet data center, and feeding back an update result to the target service. The internet data center is composed of a plurality of devices containing memories, so that the first storage space can be used for randomly adjusting the capacity of the first storage space based on the memory space provided by the internet data center, and the capacity of the intermediate storage medium can be flexibly adjusted.

The utility model discloses fire extinguishing control equipment for an IDC (Internet Data Center) machine room, which belongs to the technical field of safety protection of the IDC machine room and is characterized by comprising a box body, a fire prevention and control system, a fire extinguishing structure and a management display platform. Fire hazard signals can be monitored in real time in an omnibearing mode, the defect that a traditional monitoring means is single is overcome, local overheating caused by tiny electrical faults can be perceived in time, fire extinguishing opportunity delay is avoided, fire extinguishing structures of the fire extinguishing execution module are distributed at different positions of a machine room, a plurality of independent fire extinguishing areas are divided, and fire extinguishing efficiency is improved. The fire monitoring module feeds back data to the central control chip of the control terminal, and the data is received, processed, stored and concentrated through the control mainboard and then transmitted to the management display platform through the communication interface end of the communication module for data display.