Autonomic Networks

(Oct 30, 2017 - Nov 03, 2017)


Autonomic networks play a major role in many self-organizing networking systems, ranging from computer networks (such as self-management, including self-configuration, self-optimization, self-healing, and self-protecting sensor networks, peer-to-peer networks, delay tolerant networks, robot networks, etc.) to social and even biological networks. Only very recently, researchers have started understanding the fundamental mechanisms underlying autonomic networks and developed mathematical models and designed dedicated efficient techniques (e.g., for fault and attack tolerance, delay tolerance, mobility tolerance, etc.).
The goal of this course is two-fold: In particular, students will learn about mathematical tools such as distributed algorithm design and analysis, computational geometry, randomization, graph theory, etc. This active field of research also offers a wide range of research questions.
Internationally acclaimed academicians, researchers and practitioners with proven knowledge, experience, and demonstrable ability in teaching, consultancy, research, and training in the field of Distributed Computing will deliver lectures and discuss potential research problems in the course. The course is planned as per the norms set by Global Initiative of Academic Networks (GIAN), an initiative by Govt. of India for Higher Education.

Objectives :

The primary objectives of the course are as follows:

Important Dates:

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