Networks permeate modern life. Open and virtual private networks that support electronic data interchange within and between commercial enterprises. Wireless, mobile networks enrich our personal lives by keeping us in contact with our friends and family. Sensor networks protect our country and enable scientific exploration. These network technologies support our existence and constitute the backbone of cyberinfrastructure. Protocols for ensuring safe, pervasive and ubiquitous access to information must constantly adapt to the changing environment, both in terms of scale and technology. Modeling interactions and ensuring resiliency for today’s usage and preparing for tomorrow present significant research challenges being addressed at ASU.
Maximizing the effective use of dispersed idle computing cycles while ensuring information reliability and security poses a major challenge being addressed by researchers. At the same time, growing calls for sustainable energy use dictate the need for careful design and management of large data centers and new strategies to support service-oriented architectures. Along with these computing trends, the growing use of multimedia data presents the need for new data structures, application programming interfaces and encoding rules.
Architectural design and parallelism issues are paramount in preparing for multithread and multicore processors. The integration of power management and heat dissipation issues into architectural design plays a paramount role in on-going research. Next generation technologies that can sustain computational advances beyond CMOS are also being developed.
Most modern devices from automobiles to smart phones are defined by their integrated hardware/software systems for sensing, computing, controlling and communicating. Designing the network of interacting cyber-physical entities for efficiency, reliability, autonomy, sustainability and functionality is an ongoing challenge being addressed by the group as well as embedded systems issues such as partitioning functions between hardware and software for maximizing performance with minimal power and cost. The Center for Embedded Systems forms the core of this research, collaborating with leaders in the electronics industry, as well as addressing fundamental research.
Research in network algorithms addresses issues in wireless, wireline, optical and transportation networks encompassing a broad range of problems from the design of resilient network architectures to operational routing to ensure connectedness in mobile ad hoc networks. Location services, access control and scheduling, self-stabilizing protocols, coverage and connectivity, multi-path and QoS routing and congestion modeling are among areas of active interest by the research group.
Social computing research seeks to understand social behavior and context based on communication systems. Based on the integration of social, physical, psychological and governmental mechanisms, this research relies on multidisciplinary collaboration to develop novel theories, behavior models and pattern mining tools to predict and connect the actions and interactions of individuals, groups, communities and nation-states. The results have important application for commercial sponsors, social scientists and security agencies alike.