Topic : Advances in Networking, Research Avenues and             Tools

Dr. Mohit P Tahiliani

Asst. Professor, Dept. of CSE, NITK Surathkal

       Mohit P. Tahiliani is an Assistant Professor of  Computer  Science  and        Engineering at NITK Surathkal, India. He obtained Ph.D in Congestion        Control Mechanisms for the Next Generation Internet,completed from        the Department   of   Computer   Science   and  Engineering   at  NITK        Surathkal  in  2013. Mohit  has  been  using  and  contributing  to open        source projects since past 11 years. Together  with  his students, Mohit has  contributed  towards  developing  new  models  in  ns-3. He   is   a   Member   of   the   Steering Committee of ns-3 Consortium. Recently, his  team  at  NITK Surathkal  contributed to the mainline of Linux  kernel  (v5.1). Currently, he  is actively working on Fast Packet Processing techniques, efficient NFV deployments and Named Data Networking.

About the Topic :

This presentation comprises of advances in networking, its future directions and open issues to be addressed which leads to research. And also, about the tools which are available to perform simulation to demonstrate the outcomes of the work.


Topic : A Perspective on Intelligent Data Center for next             generation AI based applications

Mr. Sidharth M Patil

Expert Technologist, HPE, Bengaluru

      Sidharth has over 15+ years of software industry experience in design    and development of software products ranging from personal    computing devices to enterprise level distributed data storage     devices. He  holds masters degree in system software from BITS      Pilani. He  has authored 8 patents in the area ranging from handheld       devices to enterprise level hyper converged products.

About the Topic :

This presentation gives a perspective on how tsunami of data is currently hitting the enterprise datacenter from edge to cloud and how an AI plays an important role as a key enabler for efficient infrastructure operations. The growing scale of data fuels a need for better and efficient infrastructure, starting at the Edge and spanning across core/cloud. This brings an enormous opportunity as well as challenges for enterprises data centers, be at edge or core. AI plays a key role in ensuring optimal performance and maintenance of infrastructure which leads to reduced downtime and maximum efficiency. Machine learning, a subset of Artificial Intelligence, is expected to optimize every facet of data center operations, including planning and design, managing application workloads. This in turn would improvise both CAPEX and OPEX for the enterprise customers.