The internationally recognized collaborative research activity focused on configuration analytics and automation for complex information, communications and technology (ICT) environment.
The mission of the Center for Configurations Analytics and Automation (CCAA) is to build the critical mass of inter-disciplinary academic researchers and industry partnerships to undertake pre-competitive research that addresses the current and future challenges of analytics and automation. The research objectives are focused on improving enterprise IT system management, security, resiliency, service assurability and performance; and the application of innovative analytics and automation to complex networked systems. The applicable domains for this research include complex enterprise IT environments, Cloud and data centers, hybrid cyber-physical systems, smart critical infrastructures, mission-oriented networks (sensor-actuator networks), software defined networks, social networks and mobile systems. CCAA will emphasize, encourage and develop top-quality graduates with knowledge and experience in this field.
Research projects being refined include those focused on:
This research includes the entire configuration (polices, rules, variables or interfaces) cycle including defining, abstraction, synthesis, refinement, verification, validation, testing, debugging, optimization, tuning, and evaluation of configurations parameters in order to prove, measure, assess and improve the system assurability; i.e. availability and Quality of Service (QoS), security (trustworthiness), and sustainability (dependability) of current and future IT services and infrastructures.
This research is to develop cohesive, inter-connected, and context-aware configuration management operations to improve and automate decision making by improving system abstraction, semantics unification, distributed monitoring and correlation, configuration tuning and optimization, health-inspired 0-configuraiton, context-aware adaptation, machine-based configuration synthesis and enforcement, moving target defense and polymorphic networks, and configuration economics.
This research is to develop (a) interfaces to integrate heterogeneous information contents/assets about the network configuration or behavior, and (b) frameworks to integrate various formal analytics techniques or tools in a single a system to enable comprehensive and novel analytics capabilities. This will include Open interfaces, standardization and management such as Security Content Automation Protocol (SCAP)-based solutions, configuration sharing, human factors and cognitive science for usable configuration, protecting the privacy and integrity of security configuration, configuration management APIs.