Address
CIT @ Purdue University
KNOY 276, 401 N Grant St,
West Lafayette, IN 47909-2021
Get In Touch
nadig [AT] purdue [DOT] edu
Ph: +1.765.496.0873
Research Focus

Network Intelligence through Application-awareness.

What we do

Current Research Directions

01.

Software-Defined Networking (SDN)

Research focusing on Application-aware SDN for network management, monitoring and differentiated network services in data-intensive networks.

03

Cloud-native Infrastructure

Developing Edge/Cloud synergies for cloud-native networks with applications to 5G networks, multi-access edge and data-intensive science.

05

AI/ML for Softwarized Networks

Approaches to combine application-awareness with machine learning and big data analytics for resource management in SDN-based cyberinfrastructures.

02.

Software-Defined Cybersecurity

Solutions for securing data-intensive networks using flexible, composable and virtualized network security architectures and frameworks.

04

Programmable Data Planes

Exploring programmable networks and data planes for in-network computing, policy enforcement and optimized traffic processing.

Showcase

Our recent projects

Scalable Edge Computing

Scalable Edge Computing

Application-Aware Load Balancing

Application-Aware Load Balancing

Got a Project? Have an Idea?

Let's Collaborate!

Connect with me if you’re looking to collaborate through a research partnership. Let’s engage in the deep and thoughtful task of investigation, explore opportunities and collaborate on cutting-edge research to improve lives and enrich communities.

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July 12, 2021

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 ERGO can...

  • Strategy

    Framework, Implementation

  • Design

    Prototype Cluster

  • Platforms

    Kubernetes, Prometheus

View Project
April 29, 2019

Application-Aware Load Balancing

APRIL is an application-aware, predictive and intelligent load balancing solution for data-intensive science.

  • Strategy

    Predictive Analytics

  • Design

    RNN-based Deep Neural Networks

  • Platforms

    Tensorflow, Elasticsearch

View Project