Resource scheduling system based on big data

Abstract

The invention discloses a resource scheduling system based on big data, and relates to the technical field of computers. The system comprises a main scheduling server and a plurality of community server clusters. The community server clusters are distributed in each intelligent community; each community server cluster comprises an auxiliary scheduling server and a plurality of execution servers; the execution server executes the service request; the auxiliary scheduling server distributes to-be-executed service requests to each execution server in a balanced manner; the main scheduling server marks a part of the community server cluster as a high-load cluster, marks the other part of the community server cluster as a low-load cluster at different moments; and calls one or more execution servers in the low-load cluster to the high-load cluster. According to the invention, the service peak time difference of different intelligent communities can be utilized, and server resources are fully utilized.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a resource scheduling system based on big data. Background technique [0002] With the development of science and technology, smart communities have developed rapidly. The so-called smart community refers to the mode of providing various convenient services such as government affairs, business, entertainment, education, medical care and life mutual assistance for the community by using various intelligent technologies and methods to integrate various existing service resources in the community; From the perspective of application direction, "smart community" should achieve the goal of "improving the efficiency of affairs with smart government affairs, improving people's lives with smart people's livelihood, creating smart life with smart families, and improving community quality with smart communities". [0003] With the further development of the smart community, the business...

AI Technical Summary

Problems solved by technology

[0003] With the further development of the smart community, the businesses it undertakes are becoming larger and larger. At present, it generally covers access control, attendance, consumption, elevator control, visitors, parking, patrol, video, alarm, witness, channel, information screen, face recognition, etc. For multiple subsystems such as perception, intelligent analysis, and system management, a single server can no longer meet the heavy workload of the smart community. Therefore, the smart community introduces a distributed system to solve the predicament of a single server, and uses a load balancing mechanism to schedule the workload of each server. resource

However, the existing load balancing mechanism is limited to a single smart community, and the servers deployed in a single smart community are also limited. During the peak business period of the current smart community, it is inevitable that there will be a shortage of server resources.

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