40 results about "Internet data center" patented technology

The invention discloses an operation and maintenance data query analysis method of an internet data center, and relates to the technical field of operation and maintenance of the internet data center, and the method comprises the following steps: setting an initial detection threshold value for transverse flow detection in combination with existing service requirements, security policies and historical flow data, and distinguishing normal flow from suspicious flow; after an initial detection threshold value is set, comprehensive real-time data capture is carried out on all transverse flow in the IDC, and the obtained flow data is preprocessed. According to the method, through dynamic self-adaptive adjustment of the initial threshold, microscopic behavior characteristics are deeply analyzed, and the latent permeability coefficient is accurately calculated in combination with machine learning, so that intelligent identification of distributed small-flow abnormal transmission is realized. When a risk is detected, a threshold value is automatically regulated and controlled, and the perception capability for latent attacks is enhanced, so that the IDC can timely discover and respond to hidden threats, the sensitive information leakage risk is reduced, and the network security and stability are ensured.

The invention provides an automatic micro-service health monitoring method and device and electronic equipment. According to the scheme, firstly, operation environment parameters and operation efficiency parameters of all micro-services in different internet data centers are obtained; then, processing all the operating environment parameters collected from different internet data centers, and performing weighted scoring processing on the operating environment parameters of the same micro-service in different internet data centers to obtain a comprehensive score of each micro-service; determining the operation efficiency of the same micro-service in different internet data centers according to the operation efficiency parameters, and obtaining operation efficiency evaluation results of the multiple micro-services; and finally, when the comprehensive score reaches a first preset alarm threshold value, and / or the operation efficiency evaluation result reaches a second preset alarm threshold value, triggering an alarm. According to the scheme, the problem of low efficiency of manually comparing the operating environments of the same micro-service in different internet data centers in the prior art is solved.

The invention discloses a cross-province stream pulling analysis method, which comprises the following steps of: determining provinces suspected of active stream pulling and passive stream pulling by analyzing the inflow and outflow of IDC (Internet Data Center) and MAN (Mobile Area Network) of each province; for the province suspected to actively pull the flow, determining an address field suspected to pull the flow by analyzing a downlink flow rate TOPn address field of the province suspected to actively pull the flow; for the suspected pull flow address field, flow velocity and flow proportion analysis is carried out, and a suspected pull flow address pair is determined; carrying out pull flow message feature analysis on the suspected pull flow address pair; and if the pull flow message characteristics are met, determining that the address pair has the pull flow behavior. According to the method, the pull flow behavior is determined according to the settlement rule, the change of the flow and the message characteristics of the pull flow, and the accuracy of cross-province pull flow analysis is improved.

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 field of data processing, in particular to a fault prediction method, device and equipment, a storage medium and a computer program product, and the method comprises the steps: obtaining the current operation and maintenance data of at least one type of Internet data center IDC machine room equipment; generating a fault prediction result based on the current operation and maintenance data and a first prediction model; and determining whether to generate a fault early warning notification based on the fault prediction result and a first preset rule. Fault prediction and judgment are carried out through the prediction model, and when it is predicted that a fault exists, the position where the fault occurs can be judged, and early warning notification is carried out. The fault solving efficiency is effectively improved, and the influence of the fault on services and clients is analyzed.

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 utility model discloses a temperature sensing assembly, an overtemperature prompting device and an internet data center system, and relates to the technical field of object temperature detection. The device comprises a temperature probe, one side of the temperature probe is provided with an elastic member, one side of the elastic member is provided with a mounting plate, and the mounting plate is provided with a fixing member on one side of the temperature probe; wherein the fixing piece is used for assisting in fixing the position of the temperature probe; the elastic piece comprises a guide rod, the guide rod penetrates through the guide hole of the mounting plate to be connected with a first limiting block, and the outer side of the guide rod is sleeved with a second spring; wherein one side of the spring II is in contact with one side of the mounting plate, and the other side of the spring II is in contact with one side of the temperature probe. Therefore, the tightness of the contact between the contact temperature sensor and the measured object is ensured.

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 method and device for identifying an IP address of an IDC service running illegally in a metropolitan area network, and the method comprises the steps: S01, defining a description rule of a downlink IDC circuit port of the metropolitan area network, and automatically discovering the downlink IDC port information of the metropolitan area network based on the description rule; s02, the system forms a metropolitan area network downlink IDC port set according to the discovered IDC port information; s03, on the basis of the Netflow data of the formed metropolitan area network downlink IDC port set, acquiring an IP address library for operating the IDC service in the metropolitan area network; and S04, starting a timer by the system, and automatically and synchronously updating the IP address base of the lower IDC of the metropolitan area network every day to a flow analysis system for analysis. According to the method and the device for identifying the IP address of the IDC service running illegally in the metropolitan area network, the IP address of the IDC service running in the metropolitan area network can be accurately identified through automatic analysis and manual confirmation, the method and the device have an IDC IP address learning function, manual intervention is reduced, and rapid identification, confirmation and dynamic updating of an IDC IP address field can be realized.

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 present application discloses a network communication system. The system includes a domain name system DNS device, a first network address translation device, a second network address translation device, and an Internet data center IDC. The DNS device is used to respond to a domain name query request sent by an IPv4 single-stack user device, determine the protocol version of the IP address corresponding to the target domain name in the domain name query request, and determine the destination IP address based on the protocol version and the IP address; the first network address translation device is used to convert the IPv4 request message sent by the user device into an IPv6 request message based on a mapping relationship or a preset prefix; the second network address translation device is used to determine the target request message by comparing the prefix part of the IPv6 request message with the preset prefix to see whether it is consistent, and send the target request message to the Internet data center IDC corresponding to the destination IP address. The present application solves the technical problem that the related technology cannot cover the application scenario where a single-stack IPv4 user accesses both IPv4 and IPv6 data centers at the same time.

The invention relates to the technical field of thermoelectric power generation, and discloses a thermoelectric power generation system based on sea water cooling of an offshore internet data center. The thermoelectric power generation system comprises an offshore internet data center, a cooling assembly and a thermoelectric power generation assembly. One end of the cooling assembly extends into seawater, and the other end of the cooling assembly is connected with a cooling water pipeline inlet of the offshore internet data center; the thermoelectric power generation assembly comprises an evaporation device, a power generation mechanism and a condensation device, the evaporation device comprises a first seawater pipeline and a first fluid working medium pipeline, the condensation device comprises a second seawater pipeline and a second fluid working medium pipeline, and the first fluid working medium pipeline, the power generation mechanism and the second fluid working medium pipeline are circularly communicated. The water inlet end of the first seawater pipeline is connected with an outlet of the cooling water pipeline, and the water inlet end of the second seawater pipeline extends into seawater. The offshore internet data center is cooled through seawater, the heated seawater is utilized by the temperature difference power generation assembly to generate power, and full utilization of heat is achieved.

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.

The invention belongs to a scheduling method, and provides a method for participating in emergency scheduling by fusing an adjustable load of an interconnected data center and a related device, aiming at the technical problems that an internet data center load assists a power system to carry out voltage regulation research and a power network and an information network are separated from each other. In combination with the voltage out-of-limit condition of any node in the power distribution network and the dynamic sensitivity of the voltage of the node and the injection active power of other associated nodes, the power regulation amount of the node and the associated nodes participating in the voltage regulation of the node is calculated as a power regulation amount instruction, and then the voltage regulation amount of the node is calculated according to the power regulation amount instruction. And carrying out power regulation on each node, so that the power regulation cost is minimum when the power regulation is carried out on each node. Deep coupling of a power network and an information network can be effectively realized to support the two-network integration emergency scheduling service demand, and the flexibility of a voltage out-of-limit problem solution is effectively improved.

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 a method for automatically measuring and calculating the connecting line length of IDC (Internet Data Center) cabinet equipment, which comprises the following steps of: 1, acquiring information of all equipment in an IDC cabinet, and establishing a cabinet equipment list; step 2, acquiring positions of all IDC cabinets in the machine room and layout information of cabling racks, and establishing a connection point list and a machine room routing table; step 3, collecting equipment connection information in the machine room, and establishing an equipment connection list; 4, calculating the connection length, and filling the connection length into the equipment connection list; and step 5, selecting a next connection line and executing the step 4 again until all the connection lines in the equipment connection line list are subjected to required length measurement and calculation, obtaining a final equipment connection line list, and completing automatic measurement and calculation of the IDC cabinet equipment connection line length. And step 6, counting a connection material list, and performing classification and summarization according to the final equipment connection list to obtain the connection material list.

The invention provides an equivalent multipath load sharing method and device. The method comprises the application of an internet data center. The method comprises the following steps: setting the same top-punching bandwidth threshold and the same lowest load priority for each member port of member links connected with different operation costs in an equivalent multipath group; wherein each member port has the same maximum port bandwidth; setting cost bandwidth thresholds from small to large and the same highest load priority for each member port one by one according to a sequence from high operation cost to low operation cost; setting load priorities from small to large for intermediate bandwidth values of the cost bandwidth threshold value and the top-punching bandwidth threshold value of each member port based on a sequence from high operation cost to low operation cost; recording the highest load priority corresponding to each member port of the equivalent multipath; and sending the message sent by the equivalent multipath group through each member port.

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.