Large In-Memory Cyber-Physical Security-Related Analytics Via Scalable Coherent Shared Memory Architectures
Cyber-physical security-related queries and analytics run on traditional relational databases can take many hours to return. Furthermore, programming analytics on distributed databases requires great skill, and there is a shortage of such talent worldwide. In this paper on computational intelligence within cyber security, the authors will review developments of processing large datasets in-memory using a coherent shared memory approach. The coherent shared memory approach allows programmers to view a cluster of servers as a system with a single large RAM. By hiding the actual system architecture under a software layer, they proffer a more intuitive programming model.