Self-adaption load balancing strategy based on time sequence rule of user concurrent access in Web map service

Abstract

The invention discloses a self-adaption load balancing strategy based on a time sequence rule of user concurrent access in Web map service. The self-adaption load balancing strategy includes steps ofS1, time sequence analysis of WMSP access arrival rate and parameter acquisition; S2, variable load feedback cycle strategy; S3, calculation of load expectation of a WMSP server cluster node in a feedback cycle; S4, reasonable task dispatching and load distribution on the basis of load expectation of the WMSP server cluster node. The self-adaption load balancing strategy has the advantages of improving service throughput capacity of the WMSP, solving the problem of incapacity of rapidly and effectively acquiring the real-time service handling ability of the server, significantly improving theCPU utilization rate of the WMPS while lessening the load imbalance; besides, the self-adaption load balancing strategy highly fits for the time sequence distribution characteristics of the user concurrent access in the WMSP; the presented variable feedback cycle strategy can effectively coordinate and balance the contradiction relationship between the WMSP service resource consumption and the load state acquisition, guarantee the optimization between the service efficiency and the load balance, and effectively promote the service performance and the service resource utilization efficiency ofthe WMSP.

Description

Technical field [0001] The present invention relates to the technical field of network space information services, and in particular to an adaptive load balancing strategy based on user concurrent access time sequence rules in Web map services. Background technique [0002] With the rapid development of the Internet and the continuous popularization of mobile networks and the rapid development of geospatial information systems, the users of Web Map Service Platform (WMSP) such as Google Earth and Baidu Maps are increasing day by day, and real-time online operations have reached one million level. While this brings a new experience to users, it also brings performance problems such as server service overload and access delay due to high-intensity, strong aggregation and high concurrent access. The cloud cluster service system at the back end of the Web map service is distributed, heterogeneous and dynamic. Its load balancing capability is to ensure that users can still maintain g...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a Web map service based on the user's concurrent access timing rule based on the defect of unbalanced user timing concurrent access behavior in the prior art. Adapt to load balancing strategy

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