Our goal is to innovate, design, evaluate and prototype high-performance, energy-efficient intelligent distributed systems for complex and large-scale 5G applications and services.
New application needs have always sparked human innovation. A decade ago, cloud computing enabled high-value enterprise services with a global reach and scale (but with several minutes or seconds of delay), and large-scale services like enterprise resource planning (ERP) were a corner-case scenario, often designed as one-off systems. Today, applications like social networks, automated trading and video streaming have made large-scale services the norm rather than the exception. In the future, advances in 5G networks and an explosion in the number of smart devices, microservices, databases, computing-tiers and end-points in a service will make services so complex that they cannot be tuned or managed by humans. The sheer scale, dynamic nature and concurrency in these services will require them to be intelligent and autonomic. They will need to continuously self-assess, learn and automatically adjust for resource needs, data quality and service reliability
Our current focus is on innovation, design, and prototyping of high-performance and intelligent distributed systems for complex, large-scale 5G applications and services. The need for increased efficiency and reduced latency between measurement and action is also driving our design of real-time methods for feature extraction, computation and machine learning on multimodal streaming data.
Featured Research Projects
Self-Optimizing 5G Applications in Network Slices
Real-Time, Distributed Stream Processing
Multimodal Stream Fusion