17 results about "Server farm" patented technology

The invention relates to the technical field of computer load balancing, in particular to a large model reasoning load balancing method and system based on a dynamic resource grading threshold value. The method comprises the following steps: performing resource consumption estimation on a user reasoning request to obtain a request score value; the servers are divided into two server groups with different computing capabilities; differentiated scheduling is carried out based on the request score value and the current dynamic resource grading threshold value; and collecting the load state of the server cluster, calculating a load difference value, and dynamically adjusting the dynamic resource grading threshold value through a feedback control algorithm to realize load balancing. According to the method, the resource consumption of the reasoning request of the user is accurately estimated, and the efficient load balancing of the large-model reasoning task is realized in combination with the hierarchical management of the server, the real-time load state evaluation of the server cluster and the dynamic threshold adjustment mechanism.

The invention discloses a data center dynamic energy-saving scheduling method and system based on AI prediction, electronic equipment and a storage medium, and the method comprises the steps: collecting load data of a data center server and external service flow data in real time to construct an original data set, and processing the original data set through employing a long short-term memory network to obtain a load change trend; according to the load change trend, determining distribution characteristics of the thermal load trend in a future time window, extracting idle computing resource data from the server group based on the distribution characteristics, and computing a computing resource distribution proportion needing to be adjusted; carrying out iterative optimization on the calculation resource distribution proportion by adopting a genetic algorithm to obtain an optimized server load distribution scheme; through a server load distribution scheme, obtaining associated refrigeration system parameter data, determining an adjustment vector of a refrigeration strategy, fusing real-time energy consumption data of a power supply module, and judging a correction demand of power supply scheduling; and obtaining the operation configuration of the overall energy efficiency optimization according to the correction demand.

The embodiment of the application discloses a data synchronization management system, method, device, medium and product, the system comprises: at least two server groups; each of the server groups comprises a data synchronization process and at least one business server; each of the business servers is associated with the data synchronization process; for each server group, the business server is used for generating a data synchronization message containing to-be-synchronized business data when having a data cross-group synchronization demand, and sending the data synchronization message to the associated data synchronization process; the data synchronization process is used for determining a target server group to be cross-group synchronized according to the received data synchronization message, and transmitting the to-be-synchronized business data to a target business server of the target server group through a generated synchronization data packet. The flexibility and effectiveness of application business data synchronization under a large-scale Internet architecture are better ensured, and the generality of data synchronization under the large-scale Internet architecture is better embodied.

The application discloses a kind of server fault diagnosis method and system for server group, it is related to server operation and maintenance technical field, present and propose the following scheme, including data acquisition unit, data preprocessing unit, data training unit, data diagnostic analysis unit, scheme generation unit, scheme verification trial unit, data storage unit and data early warning unit, each unit is connected by communication bus or network link and forms closed loop diagnosis system.The application constructs full-link fault diagnosis system, through multidimensional collection hardware, software, network data, improves data quality by scientific pretreatment, adopts rule matching+machine learning hybrid model, combined with self-learning mechanism, improve diagnostic accuracy and coverage, generate personalized repair scheme and be verified by simulation / real machine, avoid secondary failure, full-process data safety storage and double early warning mechanism, realize fault tracing and prevention and control in advance, greatly improve server group operation and maintenance efficiency, guarantee business continuity.

The invention discloses a control method of refrigeration equipment and related equipment, and the method comprises the following steps: determining a heating information set according to a first operation information set of a server cluster and current weather forecast information according to the control method and system of the refrigeration equipment, electronic equipment, a storage medium and a program product; determining a target refrigeration server according to a preset threshold set and the heating information set; according to the target refrigeration server, the current weather forecast information and the heating rule model, target refrigeration equipment and a refrigeration parameter set are determined; and performing directional refrigeration on the target refrigeration server according to the target refrigeration equipment and the refrigeration parameter set. According to the embodiment of the invention, the target server can be determined according to the heating information of the server cluster, and the target refrigeration equipment is determined and called to perform directional refrigeration in combination with the heating rule model, the current weather forecast information and the target server, so that the refrigeration energy consumption is reduced, and the refrigeration precision is improved. The method can be widely applied to the technical field of data center heat management.

This invention discloses an automatic inspection method and system for server security self-testing. The method includes the following steps: S1, acquiring distributed node information and initial security configuration parameters of a server group, and establishing a global security inspection topology; S2, deploying an adaptive inspection agent on each server node, wherein the agent initializes a local inspection strategy based on the global security configuration parameters; S3, through a distributed computing architecture, each adaptive inspection agent independently performs local security checks and generates node security status data. This invention relates to the field of server security technology. This automatic inspection method and system for server security self-testing, through collaborative communication between agents, enables the system to share threat information, vulnerability remediation suggestions, and system status data in real time, constructing a global security data pool, and deriving a global security posture value based on weighted calculation. This allows the system to promptly understand the security status of the entire server group and provide accurate security posture awareness.

Server farm power management system.

The embodiment of the invention provides a server state monitoring system and method, and relates to the technical field of computers. The system comprises a monitoring center and at least one server group, the server group comprises a plurality of servers, each server comprises a central server and at least one edge server, and each server automatically detects own operating environment information, registers matched resource acquisition services according to the operating environment information, and transmits the matched resource acquisition services to the monitoring center. The edge servers perform multi-source heterogeneous data acquisition on monitoring objects of the edge servers to obtain monitoring data, the monitoring data are packaged into structured message bodies, the edge servers report the structured message bodies to the central server, and the central server receives the structured message bodies from the edge servers and sends the structured message bodies to the server. And locally storing the structured message bodies of the edge servers and the structured message bodies of the edge servers and reporting the structured message bodies to a monitoring center. Therefore, the problem that a traditional monitoring scheme is poor in adaptability in a heterogeneous environment is effectively solved.

The application belongs to the technical field of information matching and data evaluation, and proposes a full asset wealth protection and inheritance risk evaluation method and system, specifically: first, a full asset network identification benchmark server and a redistribution server are identified, which are respectively recorded as a benchmark object and an evaluation object, a benchmark word adaptive portrait is constructed through an asset database of each evaluation object, then inheritance execution quality time sequence analysis is performed by using the benchmark word adaptive portrait to obtain an inheritance execution score of each evaluation object, and finally, inheritance risk evaluation is performed in combination with the inheritance execution score of each evaluation object. The coordination between the redistribution server and the related database of the full asset wealth needing to perform inheritance processing and the benchmark server can be effectively quantified, and the risk of data tampering, loss or individual asset data read / write failure of the server group in the inheritance task is reduced.

The invention provides an asset vulnerability repairing method and device, equipment, a storage medium and a program product, and relates to the field of financial science and technology or other related fields. The method comprises the following steps: acquiring a vulnerability scanning report of a server cluster, and standardizing the vulnerability scanning report to obtain vulnerability scanning data of a target vulnerability; according to a vulnerability knowledge base and an asset fingerprint database, determining an asset identifier corresponding to the vulnerability identifier and an asset feature parameter corresponding to the asset identifier, the vulnerability knowledge base including a mapping relationship between the vulnerability identifier, the vulnerability type, the vulnerability influence range and the asset identifier, and the asset fingerprint database including a mapping relationship between the asset identifier and the asset feature parameter; and determining a target repair scheme of the target vulnerability according to the asset feature parameters, the vulnerability type and the vulnerability influence range, and repairing the target vulnerability according to the target repair scheme. According to the method, the problem of low decision efficiency caused by vulnerability and asset splitting is solved, the vulnerability scanning efficiency is improved, and accurate vulnerability positioning is realized.

This disclosure describes a system of distributed, compact, low height, and modular cooling systems that can potentially achieve significant reduction in energy usage by data centers, server farms and other facilities. Discrete cooling ecosystem configurations for each group of server rack, each server rack, each GPU tray containing multiple GPUs within a rack, or each of the GPUs within a GPU tray are disclosed.

A fully integrated gyrator with a high speed stack and networks of server farms and telecommunication modes incorporating the gyrator.

The application provides a network virus propagation defense method, device and equipment based on reinforcement learning. The method comprises the following steps: abstracting a target network into a two-dimensional space Graph form as training data for storage; constructing a reinforcement learning training model, and defining a training environment of the reinforcement learning training model; the training environment of the reinforcement learning model comprises a training environment rule, a server state, an invader attack rule and a training end condition; training the reinforcement learning training model to obtain a reinforcement learning defense model; and deploying the reinforcement learning defense model to a management server, inputting a server state in the target network into the reinforcement learning defense model, and performing offline on a server in an output result. In this way, the reaction speed of both attack and defense sides can be considered without considering the defense or attack strength on the premise that the virus attack can be detected, the server group is protected from a macro perspective, and the whole can still run when a small part of computers in a complex network is invaded.

A series of associated merchant websites or respective merchant websites each selling narrowly defined product categories to shoppers who browse to select products for placement into a shopping cart. While each website is operated and controlled by a different merchant or a single merchant, each website has access to a shared server farm where information about each shopper is stored. Also shared is a virtual e-commerce shopping cart that the shopper can use to check out at any of the merchant websites even though the virtual e-commerce shopping cart may contain products from multiple different merchant websites. Each merchant website is associated with metadata limited to the narrowly defined product category, thereby providing enhanced SEO benefits without the need to purchase ad words. Each boutique specifically targets a single category making the shopping and buying experience easier. Information gathered from shoppers at each unique boutique is stored at the server farm for being shared with other associated merchants in the collection of sites. A shopper's user account will transfer between sites and allow the data gathered to be used in a cross-promotional method and will ensure the shopper's experience is consistent with what they like and want in future visits. Moreover, a merchant incentivizes an account holder to make an authorized transaction by terms and agreement to auditably donate to the account holder's affinity entity. To incent desirable commerce with locals, the merchant's terms may limit its donation by a derivation of navigation time between account holder and merchant, and / or by date and time of the transaction. The account holder can direct the donation to one of more affinity entities within their own community, and / or within a community where the transaction was physically conducted. An account holder can also donate at the time of transaction where the donation is paid by the account's issuer for reimbursement as a debit to the account holder's account statement. Other payment system participants may donate (the merchant's acquirer, issuer, and transaction handler for the issuer and acquirer), by way of favorable interchange rates, can also make audible donations to account holder directed affinities entities.

The application provides a teaching evaluation method, device, storage medium and program product, relates to the technical field of teaching quality evaluation, and the method comprises the steps of receiving a first user in a teaching classroom sending a first issuing instruction through a first server, sending a first classroom questionnaire set to a second user group second server group in the teaching classroom; acquiring a second classroom questionnaire set uploaded by the second server group; receiving the first user sending a second issuing instruction through the first server, sending a first extracurricular questionnaire set to a second user group third server group outside the teaching classroom; acquiring a second extracurricular questionnaire set uploaded by the third server group; fusing second classroom questionnaire set and second extracurricular questionnaire set data to obtain a target archive data set; and the target archive data set is used for teaching evaluation of a target user group. The technical problem of low reliability of teaching evaluation in the related art is solved, and the technical effect of improving the reliability of teaching evaluation is achieved.

The invention provides a BIM-based engineering information management system, and relates to the technical field of engineering information management, and the system comprises a model division module which obtains a design BIM model of a target building and divides the design BIM model into a plurality of design BIM sub-models; the correction coefficient configuration module obtains predicted construction logs and actual construction logs corresponding to all the design BIM sub-models, and multiple correction resource configuration coefficients are obtained through configuration; a model correction module determines a corresponding selected correction server set in a model correction server cluster according to each correction resource configuration coefficient, and corrects the designed BIM sub-model to obtain a plurality of corrected BIM sub-models; and the splicing output module performs model splicing on the multiple modified BIM sub-models to obtain a target BIM model of the target building. The technical problems that in the prior art, an effective synchronization mechanism is lacked in the BIM model and the actual construction process, and construction changes cannot be fed back timely and completely are solved.

This invention relates to the field of server technology and discloses a server group comprising one or more server units, wherein the multiple server units are arranged sequentially along a first direction; each server unit includes a housing and two sets of support components, the two sets of support components being respectively disposed on both sides of the housing along a second direction and detachably connected to the housing; the support components extend along the first direction, and adjacent support components are plugged into each other; and adjacent housing layers are slidably connected along a third direction; the first direction is a vertical direction, and the first direction, the second direction, and the third direction are perpendicular to each other. This invention achieves modular and flexible combination of multiple server units and improves the maintenance efficiency of single-layer server units.