Research On Public Security Big Data Cloud Storage Analysis Based On Information Fusion Technology

With the in-depth development of public security informationization,information technology and police work are highly integrated.Public security units have built various public security information systems and accumulated a wealth of public security big data.In this context,the public security work has ushered in many new challenges,strengthening the construction of public security information,especially the use of next-generation information technology such as big data,cloud computing,and the Internet of Things to achieve strong technical police,becoming a development of the current police work.Hotspots.In the past,scholars referred to the information gathering process based on information resources as “integration”.However,in the big data environment,the process of “integrating” data alone could not meet the needs,and the “fusion” of new information technology gradually entered.People's vision.Integrating big data into the public security information processing process,realizing the reconstruction and optimization of the information processing process has become a new direction of public security information processing.This paper takes the public security big data cloud computing platform as the research object,and studies the interactivity problem and task scheduling problem of the cloud service system in the public security information network.(1)Firstly,by analyzing the technical basis of China's public security information fusion and the application of cloud service technology in public security information construction,the service model and architecture of the police cloud computing service platform are analyzed.(2)Secondly,the synchronization problem occurs when the distributed application in the public security information network interacts with the information.The interaction synchronization problem in the service domain and the interaction synchronization problem between the service domains are analyzed,and corresponding interactions are proposed.Control Method.For the case where the message is not synchronized during the interaction,an interactive control recovery method is given.(3)Then,in order to solve the problem of task scheduling optimization in public security big data cloud computing platform,a public security big data cloud computing task scheduling algorithm based on improved firefly algorithm is proposed.The chaotic perturbation strategy is introduced into the traditional firefly algorithm to enhance the population search ability.Real physical rebound theory as a population diversity control strategy to maintain population diversity.Finally,using the simulation software CloudSim,the scheduling algorithm proposed in this paper is experimentally verified.(4)Finally,the structural analysis of the public security big data cloud storage analysis platform,combined with the distributed application interactive control method proposed above and the public security big data cloud computing task scheduling algorithm based on improved firefly algorithm,using Java language and framework,front-end framework,HBase,Spark and other IT technologies to achieve public security big data cloud storage analysis platform.