44results about How to "Reduce query latency" patented technology

The invention discloses a method, log server and system for recording log data. The method comprises that log data obtained according to the log obtaining condition forms a log set; a data storage server for storing the log set is determined; the log set is stored in the data storage server, and a data sheet of the log set is generated in the data storage server; and after all log data of the log set is introduced into the data sheet, an index is created for the data sheet of the log set. According to the method, log server and system, the storage speed of log data can be improved, a network platform can timely record a lot of log data that is generated in a short time, data loss is prevented, and delayed query time can be shortened.

Systems and methods which provide secure queries with respect to encrypted datasets are described. Embodiments provide privacy-assured similarity join techniques operable with large-scale encrypted datasets. A privacy-assured similarity join technique of embodiments enables a storage system to answer similarity join queries without learning the content of the query dataset and the target dataset. One or more secure query schemes may be implemented in accordance with a privacy-assured similarity join technique herein. For example, embodiments may utilize an individual similarity query scheme, a frequency hiding query scheme, and / or a result sharing query scheme. A particular secure query scheme of the foregoing secure query schemes may be utilized to address different considerations with respect to security, efficiency, and deployability with respect to various applications and scenarios with different requirements.

In order to solve various performance and security problems like querying delay, update delay, and vulnerability to DoS attack and the like in the existing domain name parse system, the invention brings forward a novel domain name parse service model that is capable of realize incremental deployment, is compatible with the existing DNS, and has the good performance. To be specific, the invention relates to a content-distribution-network (CDN)-based domain name parse service model. The core concept of the model design is as follows: CDN network node server systems that are distributed widely form a system. On the basis of the content distribution and storage mechanism of the CDN network, authoritative DNS records all domain names are distributed at the node servers that are distributed widely by a pushing way. The DNS records are distributed by using the CDN architecture. The authoritative DNS records are distributed to all node servers; all node servers replace a domain name parse system and a domain name server in the existing DNS architecture to response to a domain name parse request of a user and provide a domain name parse service; and the query result is returned to the user directly by a network node server.

The invention relates to a hybrid storage system based on multidimensional data similarity and a data management method thereof. The hybrid storage system is composed of an upper layer memory unit (3), a middle layer cache unit (2), a lower layer storage unit (1) and a control unit (4). The upper layer memory unit (3) is used for storing system data and data index tables which are frequently accessed in all storage layers. The middle layer cache unit (2) is used for storing part of data which are frequently accessed, and the lower layer storage unit (1) is used for storing all data sets. The control unit (4) is used for being connected with the upper layer memory unit (3), the middle layer cache unit (2) and the lower layer storage unit (1) through I / O ports to constitute the hybrid storage system of a multi-layer storage structure. The invention further discloses the data management method of the hybrid storage system. According to the hybrid storage system based on multidimensional data similarity and the data management method thereof, the accessed speed can be improved, corresponding data can be quickly searched and sought in the accessing process, data access delay is reduced, the data processing efficiency can further be improved, and a request throughput capacity is improved.

The embodiment of the invention discloses a time series data storage method and device, a time series data reading method and device, electronic equipment and a storage medium. The time series data storage method comprises the steps that time series data to be stored is acquired, a storage position identifier is determined based on time series data items of the time series data, and the time series data comprises the time series data items, values of the time series data items and timestamps; determining a target cache block from a cache block set according to the storage position identifier,and determining a corresponding storage position from the target cache block according to the time sequence data item; and compressing the value and the timestamp of the time series data item by adopting a set compression algorithm, and storing the compressed data in a storage position. By the adoption of the technical scheme, the defect that a large amount of time series data occupy the storage space of equipment is overcome, and the space utilization rate is increased; besides, the compressed data associated with the time is cached, so that the problem of query delay caused by executing thequery instruction for multiple times can be avoided, and the query delay is reduced.

The embodiment of the invention provides a data processing method and related equipment, which can improve the query efficiency of Internet of Things equipment data and reduce the query time delay. The method comprises the steps of obtaining a structured query language (SQL) statement, wherein the SQL statement is an SQL statement corresponding to target equipment; preprocessing the SQL statementto obtain a target SQL statement; querying a target edge database according to the target SQL statement to obtain target data corresponding to the SQL statement, the target edge database being one ofat least two edge databases corresponding to a cloud server, and the target device corresponding to the target edge database; generating a target query result corresponding to the SQL statement according to the target data; and outputting the target query result.

The invention belongs to the Internet technology field and especially relates to a processing method of inexistence domain name query in a DNS. The method comprises the following steps that an NSEC or NSEC3 resource record is cached in a recursive server; a forwarding server acquires and caches the NSEC or NSEC3 resource record from the recursive server; when a user continuously inquires a determined inexistence domain name in the NSEC or NSEC3 resource record, the recursive server or the forwarding server directly returns an NXDOMAIN message to the user according to information of the NSEC or NSEC3 resource record. By using the method, query time delay of the inexistence domain name can be reduced; a query frequency of an authoritative server of the domain name can be decreased and resource consumption of the authoritative server is reduced; a lot of inexistence TLD query can be avoided; and a Water Torture problem can be well solved and does not generate an influence on the authoritative server.

The invention discloses a domain name querying method, an IP (Internet Protocol) grouping method, device and equipment, belonging to the technical field of networks. The method comprises the following steps of: acquiring a first IP address; querying whether the first IP address is contained in a global IP resource pool, wherein the global IP resource pool comprises at least one IP group and a domain name corresponding to each IP group, and each IP group is determined by at least one IP address; and when the first IP address is queried, taking the domain name corresponding to the IP group to which the queried first IP address belongs as a domain name of the first IP address. According to the technical scheme provided by the invention, when the domain name of the IP address is queried, the domain name of the first IP address can be determined according to the group to which the determined IP address in the global IP resource pool belongs and the domain name corresponding to the group by providing the preset global IP resource pool, and thus the querying performance of the domain name can be improved and querying delay is shortened.

The invention discloses a travel scheme recommendation method, a device, equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps of receiving a travel scheme query request sent by a terminal device, the query request comprising travel information; obtaining at least one alternative mixed travel scheme from a travel scheme database according to the travel information; obtaining a real-time travel cost parameter of the at least one alternative mixed travel scheme, and obtaining travel cost information of the at least one alternative mixed travel scheme according to the travel cost parameter; and selecting an optimal mixed travel scheme from the at least one alternative mixed travel scheme according to the travel cost information, and sending the optimal mixed travel scheme to the terminal device. Alternative mixed travel schemes are stored in a travel scheme database, and the mixed travel schemes can be quickly obtained by querying the travel scheme database; by performing real-time travel cost evaluation on the alternative mixed travel scheme, the optimal mixed travel scheme has timeliness and higher accuracy, and can meetthe travel requirements of users.

The invention discloses a key value separation storage method and system for delayed garbage collection based on an LSM tree, and belongs to the field of computer storage. The method comprises the following specific steps: S1, packaging key value data into key value entries by an upper-layer application, and writing the key value entries into a key value file according to logic blocks for persistent storage; S2, querying a skip list in a memory and a 0-layer sorting character string list in an index module; and S3, enabling the upper-layer application to call a garbage collection interface of the key value storage system for separated storage. According to the method and system, the LSM tree is optimized by adopting a key value separation idea, the query delay is reduced by virtue of an index module, the garbage collection efficiency is improved by adopting a statistical preposition means, and unnecessary resources in a service peak period are reduced by utilizing a delayed garbage collection mechanism; the integrity of the key value storage system in the scene of frequent random reading in the processes of batch writing, rapid deletion and transient storage is improved, and the overall efficiency of the consensus module of the distributed storage system is optimized.

The invention discloses a peer-to-peer (P2P for short) network resource search optimization method based on node proximity estimation. The method combines a hybrid hierarchic P2P network topologic structure, and is mainly used for optimizing the P2P network resource search process, and solving the problems of mismatch between logic topology and physical topology the P2P network, node heterogeneity and the like. Considered that under general situations, each host computer usually chooses connection to a physically proximal domain name resolution server, based on that, the cosine similarity theory formula is adopted to divide the host computers with the same or similar domain name resolution servers into a P2P cluster, and when the P2P technology is applied to search and download resources, the resources in the local cluster or the physically proximal resource nodes are selected as far as possible, so as to reduce unnecessary flow generated in the domain or the backbone network, the resource search efficiency is improved, and the P2Pflow optimization is promoted.

The invention discloses a query statistic-based guidance searching method for a P2P system. The method comprises the following steps: (1) establishing a statistic guidance table SGT; establishing a 'statistic guidance table' with a double layer structure based on history query statistics and semantic analysis results, wherein only a history queried currently is saved in an upstream table entry, and is ranked according to query time; and node information and advantage factors which respond to the current query or similar query are saved in an downstream table entry; (2) querying files by usingthe statistic guidance table, and performing querying by using information in the SGT according to the semantic dependency of the current query and SGT history query after the statistic guidance tableis established by nodes; automatically starting an underlying query strategy if the history saved in the SGT has little dependency with the current query; and (3) adaptively updating the statistic guidance table, including two methods, namely active updating and passive updating, wherein the passive mode takes place after the node forwards a query request.

The invention discloses a data persistence distribution method of a cloud computing platform, which comprises the following steps: step 1, obtaining data storage requirements of a target end through adistributed information queue; step 2, obtaining data storage requirements of the target end through a distributed information queue; step 3, obtaining data storage requirements of the target end through a distributed information queue; 3, sending the processed data to be distributed to the distributed file system; 4, utilizing the SQL semantic inquiry system to complete the inquiry of the operation result stored on the distribute file system. Compared with the traditional system in which stream computing and total computing coexist, the invention only needs to realize one stream computing code, which reduces the development and maintenance cost. Furthermore, the invention adopts the loss data processing of a plurality of data streams to realize the multi-table data processing, and realizes the analysis, processing and storage of the data of different data structures and different data sources. In addition, the invention can realize efficient data inquiry management.

The present invention discloses a communication method of a power wireless sensing network, an access gateway and a system. The method comprises a step of receiving the visit target node request which comprises a virtual IPV6 address sent by an external user, a step of parsing the virtual IPV6 address and determining sink node address information, target node address information and a target node protocol type, and a step of packaging a sensing network protocol packet according to the sink node address information, the target node address information and the target node protocol type and visiting a target node. The rapid mapping between the external user and the target node can be realized, thus the real-time addressing is realized, the characteristics of the sensor network are not affected, and the transparency of network access is improved. The mapping between a virtual IP and the target node is realized by a hashing algorithm, the query latency is effectively reduced, and the mapping efficiency is improved.

The invention relates to a data collaboration method based on identification analysis in industrial Internet of Things, which disperses identification analysis pressure by establishing multistage nodes, reduces query delay and network load, and improves analysis performance. Public identification analysis is provided for specific industry applications such as product manufacturing and supply chaincollaboration. Through fusion of semantic recognition and analysis, the problem of interconnection and intercommunication of multi-source heterogeneous data between cross-systems is solved. And the industrial Internet of Things resource cooperation capability is improved, and data acquisition, integration and resource discovery are facilitated. And a basic data collaboration mechanism is providedfor application and implementation of industrial Internet of Things management software in an industrial production field.

The invention discloses an index construction method and a JSON data query method. The JSON data query method comprises the steps: acquiring a query request, wherein the query request comprises a query target and a query condition, and the query condition comprises a first target keyword and a first target value corresponding to the first target keyword; according to the first target keyword, thefirst target value and the query target, performing data search from JSON data stored in a memory to obtain a first query result; screening out a first target index corresponding to the first target value from index data associated with the first target keyword; and obtaining a second query result from the JSON data stored in the disk according to the first target index and the query target. According to the embodiment of the invention, the query precision and the query efficiency of the JSON data can be improved.

The embodiment of the invention provides a content comment data query method and device, equipment and a storage medium. The query method is realized based on a new data structure. Each leaf node of the data structure corresponds to label information, and the label information of the leaf nodes reflects the source of the corresponding comment data. By labeling the leaf nodes of the data structure,the data structures corresponding to different label information can be obtained based on the same root node, and the query requirement corresponding to a flexible business scene is met. For query requirements of data isolation, comment data of a specific source can be screened through label information, and isolation of comment data of different sources is achieved; for query requirements of data intercommunication, tag information determined according to different sources can be matched with each other through configuration regulations, so that comment data of different sources can be obtained, and data intercommunication is realized. Visibly, the embodiment of the invention is based on the new data structure, and the flexible data query requirement can be met.

The invention provides a data query method and device. The method comprises the steps of receiving a query language input by a terminal, wherein the query language carries query parameters; according to the query parameter and a query statement template corresponding to the query language, obtaining a query statement, the query statement template being pre-stored in a template library; and obtaining target data corresponding to the query language based on the query statement and feeding back to the terminal.

The invention discloses a method and a device for determining a geographic location name. The method comprises the steps that to-be-queried location information of a target terminal is acquired; whether the spatial distance between the to-be-queried location information and reference location information is smaller than or equal to a preset threshold value is judged; if the spatial distance between the to-be-queried location information and the reference location information is smaller than or equal to the preset threshold value, the geographic location name corresponding to the to-be-queried location information is determined as a geographic location name corresponding to the reference location information; and if the spatial distance between the to-be-queried location information and the reference location information is greater than the preset threshold value, the geographic location name corresponding to the to-be-queried location information is acquired from a network geographic information system. Through the method and the device, the technical problem that query delay is long because a geographic location name corresponding to a GPS needs to be queried continuously from the network geographic information system in the prior art is solved.

The embodiment of the invention provides a video information query method and device, a storage system and a storage medium, and relates to the technical field of advertisement putting. The method comprises the following steps: when a target video query request is received, querying a target video in pre-stored hotspot video data, wherein the hot video data is obtained in advance according to historical data of video information query in the advertisement putting process; when the target video cannot be queried in the hot video data, querying the target video in pre-stored video update data, wherein the video updating data is acquired from an external service system when the external service system accessed by the advertisement putting system has the video updating data; and when the target video cannot be queried in the video update data, querying the target video from an external service system. According to the scheme of the invention, the query delay is avoided, the quantity of requests queried from the external service system is reduced, server resources are saved, and the reliability and the stability are improved.

The invention discloses an integrated management system for the mobility of an identification network. The system comprises a plurality of identification mapping servers, each identification mapping server is responsible for managing a plurality of subnetworks, all identification mapping servers form a distributed hash table-based Overlay network, and the identification mapping servers realize the function of local gateway agency in a physical network. By copying the identification mapping relationship of a plurality of mobile nodes in proportion in the Overlay network, the influence of the mobility management caused by the inconsistent topology between the physical network and the Overlay network is reduced, the query time delay is reduced, and a query load is balanced; and due to a hierarchic registering mechanism, the updating frequentness of the mapping in the Overlay network is reduced, and the performance for updating and querying the mapping relationships is balanced.

The invention discloses a query statistic-based guidance searching method for a P2P system. The method comprises the following steps: (1) establishing a statistic guidance table SGT; establishing a 'statistic guidance table' with a double layer structure based on history query statistics and semantic analysis results, wherein only a history queried currently is saved in an upstream table entry, and is ranked according to query time; and node information and advantage factors which respond to the current query or similar query are saved in an downstream table entry; (2) querying files by usingthe statistic guidance table, and performing querying by using information in the SGT according to the semantic dependency of the current query and SGT history query after the statistic guidance table is established by nodes; automatically starting an underlying query strategy if the history saved in the SGT has little dependency with the current query; and (3) adaptively updating the statistic guidance table, including two methods, namely active updating and passive updating, wherein the passive mode takes place after the node forwards a query request.

The invention discloses a domain name querying method, an IP (Internet Protocol) grouping method, device and equipment, belonging to the technical field of networks. The method comprises the following steps of: acquiring a first IP address; querying whether the first IP address is contained in a global IP resource pool, wherein the global IP resource pool comprises at least one IP group and a domain name corresponding to each IP group, and each IP group is determined by at least one IP address; and when the first IP address is queried, taking the domain name corresponding to the IP group to which the queried first IP address belongs as a domain name of the first IP address. According to the technical scheme provided by the invention, when the domain name of the IP address is queried, the domain name of the first IP address can be determined according to the group to which the determined IP address in the global IP resource pool belongs and the domain name corresponding to the group by providing the preset global IP resource pool, and thus the querying performance of the domain name can be improved and querying delay is shortened.

The invention discloses a fast and large-scale face recognition method and system. By searching the sample features matching the face features in the face feature cache, if no sample matching the face features is found in the face feature cache features, then search for the sample features that match the face features in the face feature metric space index library: if you find the sample features that match the face features in the face feature metric space index library, then output the matching success The identity information of the sample features, and record the search time of the face features, and judge whether the search time is greater than the preset search time threshold. If it is greater than the search time threshold, add the successfully matched sample features to the face feature cache and use the data survival The time-limited LRU algorithm updates the sample features in the face feature cache. The present invention can improve the efficiency of face feature matching.

The present invention provides an M2M data processing method, device, and system, which relate to the field of communication, including: receiving a registration request sent by an M2M device; after the authentication passes the registration request, obtaining a filled capability model according to the capability model and capability information of the M2M device , the capability model includes three types of communication capability, control capability and measurement capability, each type of capability is divided into multiple sub-items, and the filled capability model describes at least one sub-item corresponding to the three types of capabilities of M2M devices; according to the filled The capability model updates the overall capability model, and the overall capability model records capability information of all registered M2M devices managed by the M2M service platform according to the types of capability models. The present invention can solve the problem of long query delay and waste of hardware resources of the M2M service platform, realize the effect of reducing query delay and waste of hardware resources of the M2M service platform, and the present invention is used for M2M system communication.

The disclosure provides a data query method and device. The method is applied to a database based on an LSM tree. The LSM tree includes a multi-layer structure. The Kth layer in the multi-layer structure includes M files. There is a one-to-one mapping relationship between the file index of the M files and the M hash ranges. Each file in the file is used to store at least one data, and the hash index obtained after the key of the data stored in each file is hashed falls into the hash range corresponding to each file. The method includes: receiving the query Request, the query request is used to query the data corresponding to the target key; perform a hash operation on the target key to obtain the first hash index corresponding to the target key; determine the first target file from M files according to the first hash index A file index, wherein the hash range corresponding to the first target file includes the first hash index; according to the file index of the first target file, the data corresponding to the target key is queried in the first target file.

The invention provides an interest cluster-hot chain-based hierarchical progressive resource search model and a construction method thereof. The resource search model is a hierarchical progressive query structure, and the whole resource search process is a hierarchical progressive four-step search model of in-interest cluster, inter-interest cluster, hot chain and double rings. Local provision of services is emphasized, and progressive resource lookup is performed. The method is a hierarchical progressive query structure, the whole resource search process is hierarchical progressive four-step search in interest clusters, among interest clusters, hot chains and double rings, localized provision of services is emphasized, user query waiting delay is reduced, resource collection efficiency is improved, and backbone network flow is reduced. Each domain and each cluster in the model can work in parallel, so that the parallel working efficiency of the system is greatly improved, the network throughput is improved, and the network QoS is ensured.

The invention belongs to the field of NDN, and specifically relates to an NDN (Named Data Networking) route system based on content clustering, and a clustering query method therefor. The system comprises a cluster-head node information base which is used for storing the information of each class cluster: class cluster name ClassName and class cluster node ID; an in-cluster node information index table which is used for recording the information of nodes in class clusters: node ID, node name NodeName, access times Times, and updating time UpdateTime. Each class cluster has one in-cluster node information index table corresponding to the class cluster. According to the invention, the system and method achieve the clustering of NDN, and divide the NDN into a plurality of types according to different content types, thereby forming class clusters. The system and method achieve the direct positioning of contents, reduce the transmitting times of requested interest packages, improve the route efficiency, and are easy for network management and maintenance.