276 results about "Hyperscale" patented technology

The invention provides a distributed type storage system having a p2p function and a method thereof. The method is characterized in that: a client side sends a read-write request to a central server; the central server finds out the access address of the corresponding resource from a mapping table, and sends the access address to the client side; and according to the address of the storage node returned by the central server, the client side sends the read-write request to a particular storage node, the storage node sends a health condition report to the central server, and the central serverperforms the p2p scheduling of the resources on the storage nodes according to resource information for reading and writing and health condition information of all storage nodes. The system and the method have the advantages that: an ultra-large-scaled distributed type storage system can be formed by the integration of low-grade machines, the equipment can be easily maintained, and the infinite horizontal extension capability is ensured.

The invention provides a site selection and transportation optimization method for super-large scale logistics distribution. The method comprises the steps of clustering, side selection planning and route planning, specially, the method comprises the steps that computing is carried out with a method combined by a from-bottom-to-top clustering method and a designating-based clustering algorithm; a given distribution center number is p, the best site selection scheme is computed with minimum total cost as a target; site selection schemes with different distribution center numbers are compared, administration cost is integrated, an ideal site selection scheme is selected; according to the requirements of distraction point numbers in each cluster and geographic information, the time requirement of distribution connecting of each distribution point and the traffic time requirement between points are computed; an ant colony algorithm is used, and the best distribution route is obtained by computing. According to the site selection and transportation optimization method for super-large scale logistics distribution, the problem that computing amount is large caused by the fact that distribution points are increased greatly is effectively solved, compared with existing site selection-route planning, computing expenditure is greatly lowered, and efficiency is obviously improved.

The invention discloses a distributed parallel computing method and system for physical implementation of a large scale integrated circuit. According to the method, physical design problems of different stages are divided into sub-problems on a host, different division methods are applied to the different stages, then the sub-problems are sent to distributed servers by the host in a network communication mode to be computed, and computing results are sent back to the host. The host and a computing cluster are respectively provided with a servo management program, the program is an impotent component of a distributed computing frame and is in charge of management of distributed computing resources, and management of the distributed computing resources comprises resource allocation, resource recovery and the like. According to the distributed parallel computing method and system for physical implementation of the large scale integrated circuit, the physical design problems of a super-large scale integrated circuit can be solved rapidly and effectively, physical design efficiency of the integrated circuit can be improved greatly, and rapider and more-effective physical design of the large scale integrated circuit can be achieved compared with multithreading computing on a single computer.

The invention provides a distributed file storage system, which comprises a data storage server cluster subsystem and a file management server cluster subsystem, wherein the file management server cluster subsystem comprises at least two storage volumes; each storage volume at least comprises two storage node servers, the storage node servers in each volume are backups and mirror images of each other, and a difference of storage capacities of the storage node servers in each volume is smaller than a first set value; and the file management server cluster subsystem is used for customer file uploading, storage management and storage server cluster synchronization. The invention provides a large number of super-large scale extensible and loosely-coupled distributed file systems, the performance is greatly improved, the dynamic expansion is greatly improved, the system supports file second pass, streaming media real-time playing, oversized data file storage and multi-user file sharing andprotection, and the basic services are provided for a data storage technology of the present era of big data.

The invention discloses a cloud drawing-based large-sized three-dimensional scene multi-person collaborative creation method, which relates to the field of three-dimensional visual scene creation and edition. The method comprises the following two major modules, i.e., a server and a client, wherein the server is an assembly consisting of a plurality of computers; the host in the assembly is divided into a scheduling host and a drawing host; the scheduling host is responsible for solving the problems of synchronization and mutual exclusion produced by editing the same three-dimensional scene by a plurality of users and distributing a drawing task to the drawing host; the drawing host is used for drawing a scene into an image according to visual angles of the users and transmitting to the corresponding client host; and the client host is used for providing an operation interface for three-dimensional scene creation. According to the method, combination of creation results of all the users is creatively and automatically finished at the server, and help can be provided for the users to observe the creation results of all the users in real time during creation; and the method has positive significance to multi-person collaborative creation of a super-large-sized scene.

Some embodiments of the invention provide a method for detecting and remediating anomalies in an SD-WAN that includes a controller, at least one enterprise datacenter, and multiple branch sites each having at least one edge node that includes a set of packet processing stages. At a particular node in the SD-WAN, the method receives, from the controller, trace monitoring rules specified for a particular packet flow. The method determines that a first packet received at the particular node belongs to the particular packet flow and matches at least one of the trace monitoring rules. Based on the determination, the method specifies the first packet as a packet that should be trace monitored by each packet processing stage of the particular node. As the first packet is processed by the set of packet processing stages, the method generates trace monitoring results to be provided to the controller for analysis.

The invention aims at disclosing a memory system for an ultra-large virtual machine cluster, and the memory system comprises a virtual machine cluster cache system, a virtual machine cluster mirror image memory system, a virtual machine cluster input/output (I/O) monitoring processing system and a distributive-type memory system. Compared with the prior art, the memory system has wide cloud computing virtual machine memory range, the access performance and the system stability of the virtual machine memory can be enhanced, rapidness in arrangement can be realized by a cloud computing vendor, the service can be provided according to the requirement, by reasonably combining a share memory way and an exclusive memory way, a memory architecture and the memory way change the passive memory to the active memory, the service quality is improved, the resource and the energy can be saved, and the purpose of the memory system can be realized.

A medium- and long-distance super-capacity universal wireless sensor network comprises base station nodes, sensor nodes and a network control center. The base station nodes are network coordinator nodes used for establishing and managing a local network, communicating with wireless sensor nodes in a range covered, forwarding query command of the network control center and sending query information back to the network control center. The wireless sensor nodes are used for sending related information of carriers to base stations. The network control center is used for full-network channel resource configuration and full-network terminal user management and for communication with an external network. The invention further provides a communication method of the medium- and long-distance super-capacity universal wireless sensor network. Provided are the medium- and long-distance super-capacity universal wireless sensor network allowing large-area coverage and having super-scale capacity and compatibility with different applications and the communication method thereof; the network employs a low-power medium- and long-distance wireless communication technique.

The invention discloses a multi-process self-adaptive allocation super-large-scale integrated circuit field-circuit coupling method, which perfectly realizes a rapid and accurate calculation target offield-circuit coupling of multi-layer super-large-scale integrated circuit direct-current field analysis by simplifying a three-dimensional problem into a two-dimensional problem and adopting a super-node technology. Field circuit coupling can be accurately and completely carried out on the multi-layer integrated circuit direct-current electric field, and the calculation speed of the multi-layerintegrated circuit and chip packaging direct-current electric field is increased. Meanwhile, coarse particle parallelism is achieved in the operation process, communication between processes and waiting time generated by synchronization are reduced to a great extent, meanwhile, due to the fact that a calculation task random dynamic allocation method is adopted, it is guaranteed that calculation models with unequal complexity are randomly and evenly distributed on all calculation nodes, and calculation efficiency is improved. And a hard disk read-write bottleneck caused by virtual memory accessdue to an overhigh peak memory is avoided.

The invention provides a cloud computing system-based data acquisition system and a data acquisition method thereof. The system comprises a host node subsystem and a slave node subsystem which are arranged on a host node and a slave node of a cloud computing system respectively, wherein the host node subsystem comprises a connecting intelligent library module, a processing intelligent library module, a storage intelligent library module, an intelligent analyzing and decision-making module and a cloud computing auxiliary management host node module; and the slave node subsystem comprises a foreground connecting module, a data processing module, a background storing module and a cloud computing auxiliary management secondary module. The system is characterized by adopting an intelligently analyzed decision to provide efficient information to a task decision of a user, processing mass data by taking advantage of super-large scale of the cloud computing system at the same time and solvingthe problem of influence of continuous increase in the data on the performances of the system.

The invention provides a rapid mapping method and system for super-large-scale spatial data. The method comprises the following steps: obtaining a vector tile map on line, wherein the vector tile mapcomprises vector tile data and tile style data; determining tile hierarchies corresponding to the drawing requirements and row and column ranges in the tile hierarchies; Retrieving vector tile data and tile style data corresponding to the tile levels and the row and column ranges from the vector tile map; splicing the vector tile data to generate a grid map; and trimming the grid map to generate aspatial data drawing result. According to the method, drawing is carried out based on the online vector tile map, real-time dynamic rendering of the drawing style is carried out according to the drawing requirement, the calculated amount is only related to the retrieved tile level and range, the calculation process is simple, the problem that the data processing amount is large due to the fact that traditional drawing is firstly shrunk and then drawn is solved, and the spatial data drawing efficiency is improved.

Some embodiments of the invention provide a method for detecting and remediating anomalies in an SD-WAN that includes a controller, an enterprise datacenter, and multiple branch sites each having at least one edge node that includes a set of packet processing stages. At the controller, the method receives from a particular node of a particular branch site a flow notification indicating detection of an anomaly on the particular node. Based on the anomaly, the method dynamically generates trace monitoring rules that specify one or more flows to be traced and provides the trace monitoring rules to the particular node and at least one other node of another branch site. From the particular node and the at least one other node, the method receives trace monitoring results collected in response to the provided trace monitoring rules, and analyzes the results to identify any anomalies and dynamic actions to correct the anomalies.

The invention provides a system based on a whole cabinet server ultra-large-scale deployment, and belongs to the technical field of a whole cabinet server ultra-large-scale deployment. The system uses a modular design manner, and is divided into six parts including a cabinet module, a network module, a power supply module, a server node module, a centralized fan heat dissipating module, and a centralized management module. The invention meets the demand of large scale Internet application and data center building, and standardization is achieved in a larger range by the modular design to ensure that customers get lower procurement cost, higher purchasing efficiency and faster deployment efficiency.

The invention discloses methods for automatically detecting the topology of optical transmission monitoring networks and an implementation device. The methods comprise a central site topological method and an ordinary node topological method, wherein a central node is used for initiating a topological query from a central node and downwards routing from a central main site according to a policy of sub-path priority and breaking path return; if the node has multiple sub topological structures, different priority levels of the sub topological structures can be defined, and the priority levels are sequentially traversed from high levels to low levels. The topological routing algorithm can guarantee that all nodes in an optical network can be traversed under the condition of any open path or closed loop and the traversing sequence is consistent with a pseudo coding sequence. The invention also discloses the device for implementing the method for automatically detecting the topology of the optical transmission monitoring networks. The invention is realized based on a synchronous clock transmission system and a hardware structure, has various characteristics of high topology speed (ns level), high reliability, support of chain type, ring type, ring cutting, star-shaped and mixed type optical networks, low implementation cost, and the like and is suitable for the intelligent topology processing of large and medium scaled and even very-large-scaled monitoring optical transmission networks in the field of security.

The invention discloses a random dynamic allocation method for frequency domain simulation calculation tasks of a super-large-scale integrated circuit. An operation program is divided into a pluralityof parallel coarse particles which are not overlapped with one another and execute independent operation; layout projection, triangulation operation, grid alignment, layer information superposition,parallel flat plate field domain recognition and parallel flat plate field domain adaptive grid subdivision processing are carried out; all parallel flat plate field domains can be quickly identifiedat one time. The problem that gaps cannot be formed between the parallel plate field domains which should be mutually coupled due to errors of numerical calculation is avoided. Meanwhile, different parallel coarse particles are used for calculating at different levels, so that the communication between processes and the waiting time caused by synchronization are reduced, and the hard disk read-write bottleneck caused by virtual memory access due to an overhigh peak memory is also avoided.

A method for expanding PON LAN group based on VXLAN technology comprises the following steps: S1, identifying, distinguishing and dividing different service LANs according to the service VLAN attributes of PON LAN user L2; S2, creating a virtual service port for each service local area network, and configuring IP/UDP information of that service gateway of the port; S3, respectively creating and configuring respective virtual service ports and IP/UDP information on different OLT devices at the office end through a command line or an NMS network management system; S4, enabling that virtual service port on the OLT, and interconnecting and forward the L2 data lines of the local terminal and the opposite terminal through the L3 network, so as to realize the L2 layer data intercommunication of the two LANs; S5, by configuring the aggregation of the multi-service LAN, a larger PON LAN group is formed. The invention realizes L2 interconnection across regions and across operators through VXLANtechnology to expand the scale of PON local area network and realize the access and forwarding function of data link layer of super large-scale PON access network by using the service networking modelof OLT and ONU of each office terminal in the PON system to expand the scale of PON local area network.

The invention discloses a super-large-scale overlapped grid parallel assembly method based on auxiliary grids, which comprises the following steps: 1) generating sparse auxiliary grids surrounding each object, and storing the sparse auxiliary grids in each process; 2) aiming at the computing grid points in the grid partition in charge of each process, completing query and interpolation of a host unit in an auxiliary grid by each process, and determining attributes of a target point; 3) quickly determining an active area by adopting an array plane propelling method, and setting an active area boundary unit as an interpolation unit; and 4) searching a host unit of the interpolation unit, and determining a final query result through an MPI global protocol operation. The method has the characteristics of small memory occupation, high parallel efficiency and excellent automation degree, and can process hundreds of millions of magnitudes of multi-body overlapped grids.