A resource scheduling method and system for a paas cloud platform

Abstract

The invention discloses a resource scheduling method for a platform as a service (Paas) cloud platform. The method comprises the following steps of: detecting the load condition of each child node by a management node in the Paas cloud platform; and redeploying the child nodes, the loads of which exceed a threshold value and which are deployed with application of maximum load overhead, to the child nodes, the loads of which are lightest and which are not deployed with the application. The invention also discloses a resource scheduling system for the Paas cloud platform. According to the scheme, the application service quality can be ensured during resource scheduling, the signaling overhead of application copy migration is reduced, and load balance of the Paas cloud platform is realized.

Description

technical field [0001] The present invention relates to a resource scheduling algorithm of an application hosting platform, in particular to a resource scheduling method and system of a Platform as a Service (PaaS, Platform as a Service) cloud platform. Background technique [0002] With the increasing popularity of cloud computing technology and a large number of industrial applications of cloud computing, the advantages of cloud computing in terms of high availability of services and scalability of processing capabilities have been increasingly recognized by the industry. Combining cloud computing technology with an open business platform can not only provide a more available and scalable basic platform for business platforms, but also organize hardware resources distributed in various places, greatly improving the utilization of hardware resources. Facilitate revenue growth and savings in business operations. Among the three application forms of cloud computing, the form...

AI Technical Summary

Problems solved by technology

[0004] The existing resource scheduling method adopts some resource scheduling strategies that reduce the application service quality, which is not fully applicable to the PaaS cloud platform. Although this resource scheduling method ensures that each node is at the lowest load, it adopts application copy deletion, Application copy migration and other methods, in which application copy deletion will reduce the application service quality, and application copy migration will increase the signaling overhead of transferring application copies from deployed nodes to target nodes, which is not suitable for application scheduling that requires high service quality

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