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4941results about How to "Load balancing" patented technology

Multitask concurrent executive system and method for hybrid network service

InactiveCN101741850AIntegrate business capabilitiesHybrid network services are flexible and diverseData switching networksService flowMedia controls
The invention relates to a multitask concurrent executive system and a method for hybrid network service. The system comprises a client side, a load-balancing server, a signalling/ media control server and an application server cluster. The running method thereof is as follows: after the client side receives a service request, the load-balancing server selects an optimum application server and transmits the service request to a service bus thereof. After an admission control module of the application server carries out admission control on the request, the service bus transmits the request to a dynamic flow execution engine, the dynamic flow execution engine starts a service flow corresponding to the request to analyze and process, and the service bus calls a corresponding service capability component in a low deferred event service engine and interacts with the signalling/ media control server through the resource adapter so as to call the service resource of the latter; and a processing result is returned to the client side according to a reverse process. The multitask concurrent executive system supports the supply of hybrid network service over a telecommunication network and the internet and the multitask concurrent on a heterogeneous network and terminals.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Smart video monitoring system based on cloud platform

The invention relates to a smart video monitoring system based on a cloud platform, and belongs to the technical field of remote smart monitoring. The system is characterized in that a video monitoring cloud platform is developed on a server cluster established on the basis of a Hadoop cloud computing platform, and video data acquired by front-end equipment are transmitted to a server in a stream way; through adoption of a massive distributed cloud computing technology, real-time tracking, processing, analysis and outputting of video streams are realized; and a service is provided externally, so that a terminal user can perform checking and calling conveniently. In the system, the characteristics of distributed high-concurrence access storage, high availability, rapid response, easiness in management and maintenance and the like are integrated. Video acquisition, video encoding and transcoding, video data storage, a streaming media distributed server and a client are all distributed on a physical host node in an access network. Compared with a conventional video monitoring system, the smart video monitoring system has the advantages that video real-time processing and transcoding efficiency and video data storage capacity are increased greatly; the requirement of people on the video monitoring system in a big data era is met; and a relatively large commercial value is achieved.
Owner:CHONGQING UNIV OF POSTS & TELECOMM

Method for scheduling virtual machines

The invention discloses a method for scheduling virtual machines, which belongs to the field of computer networks. The method comprises the following steps of: 1) running a physical machine monitor on each physical server for regularly collecting loads of all virtual machines and sending the loads to a virtual machine scheduler, and receiving and executing instructions sent by the virtual machine scheduler; 2) regularly judging the virtual machines with load data changes and the physical server where the virtual machines are positioned by the virtual machine scheduler; 3) adjusting the virtual machines with load data changes by the virtual machine scheduler by using bin packing algorithms to obtain the target corresponding relationship of the virtual machines and the physical servers; 4) comparing the current corresponding relationship with the target corresponding relationship of the virtual machines and the physical servers by the virtual machine scheduler to generate a virtual machine scheduling plan; and 5) scheduling the virtual machines by the physical machine monitor according to the virtual machine scheduling plan. Compared with the prior art, the invention has the effect of load balance and can also make the physical servers in an idle state dormant and further reduce the energy consumption.
Owner:PEKING UNIV

Dynamic virtual resource management strategy method for performance weighting under cloud platform

InactiveCN104010028AMaximize loadMinimize the number of physical servicesData switching networksUser needsPersonalization
The invention relates to the technical field of cloud computing, in particular to a dynamic virtual resource management strategy method for performance weighting under a cloud platform. According to the method, at first, contrast matrixes of various request resources and performance weighting values are configured, according to the needs of users and real-time monitoring data of the cloud platform, a load performance metric model based on load performance weighting is provided, and then the dynamic virtual resource management strategy method under the cloud platform is provided according to the model. The method comprises a virtual machine deployment strategy and a virtual machine transfer strategy, on the condition of meeting the existing load request, the cloud platform ensures that the load degree of a physical server in each scheduling area to be maximized, and on the basis, the number of the physical servers, needing to be started, of the cloud platform can be minimized. According to the method, the needs of the users are taken into consideration, data of individuation weight setting and cloud platform system real-time performance monitoring are given, the needs of QoS can be met, resources of the cloud platform system are utilized reasonably, and the load performance of the cloud platform is ensured.
Owner:SOUTH CHINA UNIV OF TECH

Peer to peer enterprise storage system with lexical recovery sub-system

A peer-to-peer storage system includes a storage coordinator that centrally manages distributed storage resources in accordance with system policies administered through a central administrative console and a lexical recovery sub-system that automatically creates versions of files that are thereafter maintained by the system. The storage resources, or “nodes,” are otherwise unused portions of storage media, e.g., hard disks, that are included in the devices such as personal computers, workstations, laptops, file servers, and so forth, that are connected to a corporate computer network, and are thus otherwise available only individually to the respective devices. The storage coordinator assigns the nodes to various “replication groups” and allocates the storage resources on each of the nodes in a given group to maintaining dynamically replicated current and previous versions of the group files. The storage nodes in a given group perform dynamic file replication and synchronization operations by communicating directly, that is, peer-to-peer, using a message-based protocol. The storage coordinator also manages distributed searches of file content on the network by selecting one node from each group to search through the associated group files. The selected nodes report the search results back to the storage coordinator, which organizes the results and provides them to the user. The user may then restore or recover a previous version of a file or review a current version of the file by selecting the desired file version from the search results.
Owner:ESCHER GROUP
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