Research and Implementation of BDaaS Cloud Platform for Security Industry

Lianqing Wang, Rong Che, Nie Jing
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Abstract

with the sharp growth of security data and equipment resources in the security industry, the traditional management mode caused such problems as low utilization rate, poor flexibility, weak scheduling ability, insufficient scalability and serious waste. And at present, few researchers in the security industry use the idea of big data to analyze and process security data. In this paper, based on the idea of cloud computing and big data, the demand analysis of security industry data cloud management was completed, and by using cloud computing virtualization technology, the security industry big data platform was demonstrated and designed, realized the integration of resources and data within the security industry. The data application and processing cluster of security industry could be constructed by deploying computing nodes quickly, and computing resources could be allocated on demand to reduce redundant deployment of security management and waste of resources. The functions of security incident alarm management, security patrol management, security resource management, decision support, data operation and maintenance were realized. Through functional testing and performance testing, it was proved that the BDaaS cloud platform for security industry had greatly improved the data storage capacity, stability, security data processing efficiency and operation response speed of the original security management platform.
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面向安防行业的BDaaS云平台研究与实现
随着安防行业安防数据和设备资源的急剧增长,传统的管理模式造成了利用率低、灵活性差、调度能力弱、可扩展性不足、浪费严重等问题。而目前安防行业很少有研究者运用大数据的思想来分析和处理安防数据。本文基于云计算和大数据的思想,完成了安防行业数据云管理的需求分析,并利用云计算虚拟化技术,对安防行业大数据平台进行了论证和设计,实现了安防行业内部资源和数据的整合。通过快速部署计算节点,构建安防行业数据应用与处理集群,按需分配计算资源,减少安全管理的冗余部署和资源浪费。实现了安全事件报警管理、安全巡逻管理、安全资源管理、决策支持、数据运维等功能。通过功能测试和性能测试,证明安防行业BDaaS云平台大大提高了原有安全管理平台的数据存储容量、稳定性、安全数据处理效率和运行响应速度。
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