Method for balancing load of network GIS heterogeneous cluster server

Abstract

The invention discloses a method for balancing a load of a network GIS (Geographic Information System) heterogeneous cluster server. In the method, built-in attributes which accord with the Zipf distribution rule and a server heterogeneous processing capacity are accessed on the basis of GIS data; the method adapts to dense access of a user in the aspect of the cluster caching distribution; when the cache hit rate is improved, the access load of hot spot data is balanced; the minimum processing cost of a cluster system, which is required by a data request service, is solved from the integral performance of a heterogeneous cluster service system, and user access response time is optimized when the load of the heterogeneous cluster server is balanced; and the distribution processing is carried out on the basis of data request contents and the access load of the hot spot data is prevented from being excessively centralized. The method disclosed by the invention highly accords with the large-scale user highly-clustered access characteristic in a network GIS, well coordinates and balances the relation between the load distribution and the access local control, ensures the service efficiency and the optimization of the load, effectively promotes the service performance of the actual network GIS and the utilization efficiency of the heterogeneous cluster service system.

Description

technical field [0001] The invention belongs to the technical field of network space information services, and in particular relates to a load balancing method for network GIS heterogeneous cluster servers. Background technique [0002] While network GIS greatly facilitates people’s lives, it also brings a huge number of visits. For example, the number of visits to Google Earth has exceeded 100 million and is increasing day by day. Its server performance has become one of the key factors affecting its network service quality. [1] . In network GIS, heterogeneous server clusters are mostly used to realize large-scale network services, and load balancing technology is used to realize load distribution among multiple servers, so as to improve the overall performance of network GIS cluster service system [2，3] . However, with the massive growth of terrain data, the load difference generated by data content requests is getting bigger and bigger, and access locality has gradually...

AI Technical Summary

Problems solved by technology

[0020] Aiming at the problem of unbalanced cluster service system load caused by the unbalanced data access distribution and heterogeneous server processing capabilities in network GIS, the present invention proposes a heterogeneous cluster that comprehensively considers access locality and load distribution in network GIS The server load balancing method, which is based on the inherent properties of the Zipf-like distribution law in the access of terrain data (tiles), can balance the access load of hot data and the load of heterogeneous cluster servers at the same time, and can effectively improve the service of the network GIS system performance, obtain the optimal response time, and improve the utilization efficiency of the heterogeneous cluster service system

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