Big data distribution method for multi-user groups
A big data and multi-user technology, which is applied in the direction of data exchange details and devices for branch offices to provide special services, etc., can solve the problems of low system usage efficiency and inability to adjust in real time, so as to improve efficiency and resource utilization efficiency, reduce impact, Effective use of server resources
Active Publication Date: 2016-08-10
ZHEJIANG UNIV
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[0008] The present invention aims at the disadvantage that the existing technology cannot adjust in real time according to the dynamic changes of resource requirements of different users, resulting in low efficiency of system use, and provides a new type of big data distribution method for multi-user groups
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Embodiment 1
[0033] A big data distribution method for multi-user groups, the system architecture diagram is as follows figure 2 As shown, the virtual machine management module 2 of the system is responsible for managing the allocation and recovery of the virtual server 1, and responsible for the transmission of load statistical data among the virtual server clusters 3. According to the application requirements of different user groups, the system divides the virtual server 1 into several virtual server groups, and the virtual server group is a virtual server cluster 3, including Group1 and Group2. Each virtual server group has a certain number of virtual servers 1 and a master virtual server 1 generated based on the Paxos algorithm. Group1 has VS1~VS4, four virtual servers 1, and one primary virtual server 1. Each virtual server 1 in the group has a monitoring module 5 to synchronize load statistics in the group and maintain online detection between virtual servers 1 .
[0034] Such as...
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The invention relates to a big data distribution strategy oriented to multiple user groups. The big data distribution strategy relates to a plurality of virtual servers and a virtual machine management module, wherein the virtual servers operate on a physical server and constitute a virtual server cluster, main virtual servers are arranged in the virtual server cluster, the main virtual servers are selected from the virtual servers in the Paxos algorithm, the virtual server cluster is further provided with monitoring modules, and the monitoring modules are used for monitoring load conditions of the virtual servers in the virtual server cluster and adding the virtual servers into the cluster or removing the virtual servers from the cluster at any time. The big data distribution strategy has the advantages of having concise steps and few calculation steps, completely solving the problems that load balance cannot be regulated accurately because control granularity is too coarse during response to big data distribution, and having good application value.
Description
technical field [0001] The invention relates to a large data distribution method for multi-user groups. Background technique [0002] With the rapid development of the Internet and the continuous improvement of business volume, the network-based data access traffic increases rapidly, especially the access to data centers, large enterprises, and portal websites. At the same time, with the help of HTTP, FTP and other applications, the server website provides visitors with more and more abundant content and information, and the server is gradually flooded with data. [0003] In the computer network of mass data transmission, compared with the development of network technology, the growth of server processing speed and memory access speed is far lower than the growth of network bandwidth and application services. The growth also causes serious consumption of server resources, so the server has become a network bottleneck. The traditional stand-alone mode also often becomes a p...
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IPC IPC(8): H04L12/18
Inventor 陶金火林久对陈华钧郑国轴杨建华吴朝晖
Owner ZHEJIANG UNIV