Developing Edge/Cloud synergies for cloud-native networks with applications to 5G networks, multi-access edge and data-intensive science.
Approaches combining application-awareness, machine learning and data analytics for managing SDN-based cyberinfrastructures.
Novel solutions to optimize cloud hyperscaler efficiencies using function accelerators for network and data processing tasks.
Research focusing on SDN for network management, monitoring and differentiated services of data-intensive networks.
Exploring programmable networks and data planes for in-network computing, policy enforcement, security and optimized traffic processing.
Solutions for securing data-intensive networks using flexible, composable and virtualized network security architectures and frameworks.
Scalable Edge Computing
ERGO is an edge-computing architecture that is highly scalable, modular, and affords composability benefits to infrastructure-less Ag-IoT systems. Our implementation and evaluations show that…
Application-Aware Load Balancing
APRIL is an application-aware, predictive and intelligent load balancing solution for data-intensive science.