30 results about "Cluster expansion" patented technology

The invention provides an expansion method for supporting non-halt of a multi-hash map database cluster system. The expansion method comprises the following steps: S1, binding all original tables in a cluster onto an existing hash map which is named old hash map; S2, during cluster expansion, executing a command for generating a new hash map, generating the new hash map through a cluster, and setting the hash map as a current hash map; S3, automatically binding tables which are newly created after cluster expansion onto the current hash map; S4, participating into operation with new tables after performing dynamic data redistribution according to the current hash map, wherein in any operation on the original tables and the new tables, the current hash map is taken as a hash map of current operation, and the original hash characteristics of old tables based on an old hash map are lost; S5, migrating a part of data onto a new node, and binding the tables onto the current hash map after the completion of migration. Through the design, performance attenuation is avoided, and natural data transition is realized.

The invention provides a method and a device used for realizing cluster dynamic expansion in a distributed framework. The method comprises the steps of determining that a cluster dynamic expansion demand exists, wherein the cluster comprises multiple slave nodes, and the multiple slave nodes are divided into a calculation resource group and a storage resource group based on the provided resource services; and adjusting the number of the slave nodes in the calculation resource group and / or the storage resource group based on the cluster dynamic expansion demand. The technical scheme provided by the invention can better match a cluster size and processing capability with a demand for a storage resource and a calculation resource in an actual application scene, accordingly efficiently avoids the phenomenon of cluster resource shortage and cluster resource waste, and further improves the performance of the cluster while improving the flexibility of the cluster dynamic expansion.

The invention relates to a method for extraction and deviation warning of a lane line. The method is characterized in that the method comprises the following steps that: an image preprocessing step is executed; more specifically, a camera is calibrated to obtain an inverse projection transmission picture, a single-line DLD feature image and a double-line DLDLD feature image are extracted, operators are extracted according to the two features and binarization processing is carried out on the operators, and clustering expansion processing is carried out on white pixels in the binarization images from bottom to up; continuous linear piecewise function fitting is carried out on the feature points in a predefined grid and coordinates of starting points and end points as well as corresponding gradients of all the piecewise functions are recorded; dashed and solid line determination is carried out on the feature points; and a multi-segment tracking step, a multi-segment extension step, an inspection step and a lane line determination step are carried out to determine a lane, thereby making a deviation warning decision. Advantages of the method are as follows: the lane line detection algorithm is suitable for various complicated urban roads; and because less computation is required and thus operation can be carried out under the circumstance of low-end hardware, the method is simple, secure and reliable.

The invention discloses a capacity expansion method and device for a server cluster system and the server cluster system. The method includes: the load balancing server receives the first access request from the client; the load balancing server calculates the first hash value; the load balancing server determines the original cache server corresponding to the first hash value; the load balancing server calculates the second hash value The load balancing server determines the cache server corresponding to the second hash value; the load balancing server receives the content corresponding to the first access request in the original cache server corresponding to the first hash value via the newly added cache server corresponding to the second hash value; The load balancing server sends the received content to the client. Through the present invention, it is realized that the newly added cache server obtains the service content from the original cache server instead of directly from the source site, thereby achieving the effect of improving the hit rate of the cache server and reducing the pressure of the source site.

The method for automatic elastic expansion of Web applications based on the session-based cloud computing environment of the present invention includes: a) deployment of the Web application system; b) judging the number of used resources; c) increasing the number of resource quotas; d) obtaining the number of instantaneous session connections ; e) comparison of the number of instantaneous session connections; f) calculation of the average number of session connections; g) comparison of the average number of session connections; h) judgment of remaining resources; i) increase of Web application servers; j) judgment of the number of application servers; k ) to delete the web application server. The web application automatic elastic expansion method of the present invention dynamically expands and reduces highly concurrent web application systems and web application system clusters with more or less sessions within a certain time interval through the instantaneous number of session connections and the average number of session connections operation, realizes the dynamic adjustment of the web application system based on the session, and improves the adaptability of the web application system.

The present application discloses a method and system for supporting IoT middleware cluster expansion. The method includes: receiving a control command for an IoT gateway, and using a load balancing forwarder to send the control command to any IoT middleware Server; if the long connection between the Internet of Things middleware and the Internet of Things gateway is not stored in the pre-built long connection cache area, and the relevant information of the Internet of Things gateway is stored in the pre-built long connection mapping table, then , establishing a connection with the IoT gateway according to the IP information carried in the relevant information, and sending the control instruction to the IoT gateway. This method not only realizes the expansion of the IoT middleware cluster, but also enables the load balancing forwarder to truly realize the load balancing function.

The invention discloses a multi-tenant-oriented cloud network system. The cloud network system includes: a computing node, a virtual router cluster, and a cloud gateway. The virtual machine included in the computing node exchanges messages with the public server in the private network through the virtual router cluster; and, the virtual machine communicates with the virtual router cluster and The cloud gateway realizes message exchange with the public network; wherein, the virtual router cluster includes at least two virtual routers, and each of the virtual routers issues the same IP address to the private network switch; the cloud gateway includes at least two gateway nodes, each The gateway node publishes an equivalent default route to the private network switch, and each of the gateway nodes publishes the same floating IP address to the public network router or public network switch, so as to realize the cluster expansion of the cloud network system, and avoid the problem caused by a single node Failures affect the availability of the entire network, improving the network's attack defense capabilities.

The embodiment of the present invention provides a cluster extension method, a cluster communication system, a communication system, and a method, so as to reduce the complexity of the DUT and maintain the topology of the original three-layer network. The method includes: at least two devices under test DUTs located between the first switching device and the second switching device transparently transmit the link aggregation control protocol LACP message, so that the first switching device and the second switching device negotiate Link aggregation group LAG aggregation characteristics; after the negotiation of the link aggregation group LAG aggregation characteristics is successful, the first switching device and the second switching device distribute traffic to the at least two devices under test DUT for transmission. The method provided by the invention avoids the realization of complex routing protocols on the DUT, reduces the requirements for the DUT, and no longer has hard requirements for the network attributes and network topology of the DUT, so that the original three-layer network topology can remain unchanged. Thus avoiding the tedious and high cost of changing the network topology.

A collection front-end system based on cloud communication relates to a front-end system; at present, due to the large number of collection terminals in the electricity collection system, the management of the program memory of a single node cannot accept a fully loaded file. The technical solution includes a communication gateway cluster, a communication front-end machine cluster connected with the communication gateway cluster, a message queue cluster connected with the communication front-end machine cluster for queuing data, and a communication gateway cluster and a communication front-end machine cluster. The zookeeper distributed service cluster; the distributed service cluster forms the zookeeper distributed service system. The technical solution adopts the zookeeper distributed application program coordination service system to solve the node management and data sharing between the front-end machines. The technical solution makes the acquisition front-end cluster expansion simpler and more efficient; the distributed expansion capability of the acquisition front-end system is enhanced through the cloud communication technology; the load balancing capability of the front-end computer system is enhanced.