A method for implementing elastic computing resource scheduling in passive mode in load balancing
A technology of load balancing and computing resources, applied in the field of communication, can solve problems such as increasing system overhead and increasing system burden, and achieve the effects of reducing burden and overhead, improving service quality, and improving practicability and accuracy
Active Publication Date: 2017-12-15
通明智云(北京)科技有限公司
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[0004] Although the above method can adjust the allocation of virtual resources by continuously monitoring the stress state of each virtual machine, and improve the utilization rate of virtual resources to a certain extent, but because the current resource situation of the active virtual machine needs to be continuously collected, the overall situation is aggravated. The burden of the system; in addition, setting up an independent detection daemon for each active virtual machine also increases the overhead of the entire system
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[0058] The present invention is described in detail below in conjunction with accompanying drawing:
[0059] like figure 1 As shown, the present invention provides a method for implementing passive mode elastic computing resource scheduling in load balancing, which closely combines the load balancing technology, the perception capability of the subsequent application service pool, and the flexibility of virtual resource scheduling in the virtualization platform to provide The cloud computing environment provides a more complete elastic computing solution.
[0060] Specifically include the following steps:
[0061] S1, build an IAAS cloud computing environment, including: a load balancing gateway, a virtual machine management center, and multiple application service pools; each application service pool is composed of several members, and the members are virtual hosts; and, in each application service pool The virtual hosts that can participate in scheduling are configured wit...
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The invention provides a method for realizing passive mode elastic computing resource scheduling in load balancing, including: building an IAAS cloud computing environment, including: a load balancing gateway, a virtual machine management center, and multiple application service pools; end resource requests, and then allocate the resource requests to each application service pool according to the preset load balancing strategy. At the same time, the load balancing gateway is equipped with a recording module, which records the following information: the number of online sessions of active virtual hosts, throughput traffic and the number of requests per second; establish a business pressure model based on the recorded information, and if the business pressure model reaches a critical trigger threshold of a certain state, it will actively send scheduling instructions to the virtual machine management center to flexibly schedule virtual machine resources. On the premise of greatly improving the practicability and accuracy of computing resources in the cloud environment, it also significantly reduces the burden and overhead of the entire system, and improves the service quality of the entire cloud computing platform.
Description
technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a method for realizing passive mode elastic computing resource scheduling in load balancing. Background technique [0002] In the cloud computing environment, after the computer hardware resources are virtualized, several virtual machines are obtained, and multiple virtual machines form a virtual resource pool, and then the virtual resource pool performs computing tasks. How to make full use of the virtual resources in the virtual resource pool and improve the parallel processing capability of the cloud service platform is a current research hotspot. [0003] In the prior art, the usual method is to set an independent detection daemon for each active virtual machine in each virtual resource pool, collect the CPU resources or memory resources of the active virtual machine through the detection daemon, and then collect statistics The received CPU resources or mem...
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IPC IPC(8): H04L29/08
Inventor 吴若松
Owner 通明智云(北京)科技有限公司