40results about How to "Guaranteed load balancing" patented technology

The invention provides a load control method, an apparatus and a system. The method comprises the following steps: monitoring a load in a common coverage cell of different network systems, wherein the different network systems comprise a first network system and a second network system; and modifying the reselection parameters in the system message of the network system with a higher load and / or of the network system with a lower load if the load between the first network system and the second network system is determined to be in imbalance according to a monitoring result. Whether the different network systems are in imbalance or not is determined by monitoring the load in the common coverage cell of the network systems in the invention, and in the case of imbalance, the reselection parameter is adjusted to enable the user to easily reselect a different network system, thereby reducing the load increment of the network system and guaranteeing the load balance of the different network systems.

The invention relates to a time-delay constrained wireless sensor network routing implementation method based on a fuzzy gradient. The method comprises a proximate Sink node selection implementation step and a gradient fuzzy classification implementation step. In the method, aiming at limited time-delay constrained energy of a wireless sensor network, each sense node transmits a data packet to anadjacent node along the Sink direction of the base station until data reaches a Sink; and a condition that certain nodes are used up prematurely and a large amount of surplus energies are left in other sensor nodes often occurs in the sensor network, thus the routing of the nodes is focused, and the energy consumption of each node is balanced, thereby effectively improving the network energy consumption efficiency and prolonging the network survival time.

The invention discloses a forest type storage structure and a method for a distributed erasure code hybrid storage based on multiple storage media, which are characterized in that data block data of erasure codes are placed in a solid state disk for storage in a distributed storage system, and data check block data of the erasure codes are placed in a mechanical hard disk for storage. The method comprises the following steps: (1) classifying data storage media in a distributed storage system, and establishing a forest type hybrid storage structure; (2) classifying erasure code data in the distributed storage system into data block data and check block data, and marking the data block data and the check block data; and (3) placing the classified erasure code data on a specific tree of a forest type storage structure for distribution and disk falling. In this way, hybrid architecture storage of erasure code data on distributed storage based on multiple storage media is achieved. According to the invention, excessive wear of SSD caused by erasure code write amplification can be solved, the system performance is improved with lower cost, the service life is prolonged, and the reliability is enhanced.

The invention discloses an application perception data routing method oriented to large-scale cluster deduplication and a large-scale backup storage cluster system. The application perception data routing method comprises the steps of (S10) obtaining backup file meta-information, (S20) sensing a file application type, (S30) calculating deduplication storage node loads, (S40) selecting file routing nodes, (S50) sending files to target nodes, (S60) conducting deduplication on the files in the nodes, and the like. The large-scale backup storage cluster system comprises a plurality of backup clients, a backup server and a plurality of deduplication storage servers. The data routing method and the system have the advantages that the data deduplication rate is high, the node throughput rate is high, system communication overheads are low, and system loads are balanced.

The invention discloses a ground penetrating radar large-scale three-dimensional forward modeling method based on the FDTD. According to the method, data exchange of nodes is carried out through a network, and communication and synchronization of the nodes are achieved; a measured point in any node is selected to be subjected to forward modeling parallel calculation on the basis of the FDTD, firstly, an electric field value is calculated, magnetic field calculation is carried out by adding an excitation source after electric field calculation is finished, iteration is continuously carried out through communication, electric field calculation and magnetic field calculation, and when calculation of the set time total step length is finished, calculation is stopped, output data are stored, the data serve as a radar reflected signal of the measured point; initialization updating is carried out on all field values, a whole computational domain recovers to the state before calculation, and then a transmitting antenna and a receiving antenna are moved to a next measured point to start forward modeling calculation again; if calculation of all the measured points is finished, data of all the nodes are collected to carry out imaging and image postprocessing. The ground penetrating radar large-scale three-dimensional forward modeling method based on the FDTD is applicable to calculation of dielectrics and models with complex scales, has the advantage of being high in universality, and is especially applicable to large-scale and high-precision forward modeling.

The invention provides a gear and a transmission mechanism and belongs to the technical field of gears. The gear comprises gear teeth, a rim, a center plate and a hub which are sequentially connected,wherein a plane perpendicular to the rotation axis of the gear is taken as a datum plane, and the center plate is oblique relative to a datum plane. The gear can be deformed under the load action, the meshing misalignment quantities under various working conditions and the difference between the meshing misalignment quantities are reduced, and the design profiling quantity of the gear is reduced,so that the uniform load of tooth surfaces of the gear is guaranteed, the strength of the gear is improved, and the service life of the gear is prolonged. The transmission mechanism comprises the gear and has all functions of the gear.

The invention relates to a relay node robust coverage method for a double-layer structure wireless sensor network. The present invention is a relay node 2-overlay deployment algorithm based on local search, which realizes optimal deployment while ensuring robustness by degrading the global deployment problem to the local deployment problem. The method specifically includes two steps: the first 1-coverage and the second 1-coverage. The first 1‑coverage includes three steps: construction of relay node candidate deployment locations, sensor node grouping, and relay node local deployment. Sensors are grouped by a novel grouping method, which reduces the complexity of the algorithm and ensures deployment The most effective; the second 1-coverage adjustment threshold, select the sensor nodes that are only covered by one relay node for each group, and use the 1-coverage method to perform 1-coverage on these sensor nodes again, which not only ensures the robustness The stickiness saves the number of relay nodes deployed and shortens the problem solving time.

The invention discloses a method and system for constructing a parallel distributed big data architecture, wherein a method for constructing a parallel distributed big data architecture comprises: establishing a grid through grid units, and sequentially storing data into the grid according to time stamps; The grid data correlation and the data node sampling time interval are calculated by the computing unit; the grid data is distributed to the data storage unit through the transmission unit according to the grid data correlation; Planning transmission paths and allocating data storage space ensures the load balance of data nodes and greatly improves data query capabilities.