Adaptive Load Balancing Method Based on Timing Rules of Concurrent Access of 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 invention relates to the technical field of network space information services, in particular to an adaptive load balancing strategy based on the timing rules of concurrent access to Web map services. Background technique [0002] With the rapid development of the Internet, the continuous popularization of mobile networks and the rapid development of geospatial information systems, the number of users of Web map service platforms (Web Map service Platform, WMSP) such as Google Earth and Baidu Maps is increasing day by day, and the number of real-time online operations has reached one million. class. 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-concurrency 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 e...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an adaptive load based on the timing rule of concurrent access of Web map service, aiming at the defect that the unbalanced concurrent access behavior of users in WMSP in the prior art leads to the unbalanced load of each server node in the server cluster balanced strategy

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