Statistical Age-of-Information Bounds for Parallel Systems: When Do Independent Channels Make a Difference?

12 Jun

Jaya Prakash Champati, Research Assistant Professor at IMDEA Networks Institute, Madrid, Spain

External Presentation (IN Speaker)

The Age of Information (AoI) metric measures the freshness of status updates for monitoring and feedback in networked systems. It has received significant research interest due to its relevance in Internet of Things (IoT) and Cyber-Physical Systems (CPS). However, its analysis is largely open for parallel systems despite of their relevance in multi-band mobile networks, multi-technology wireless access, or multi-path protocols. In this talk, I will discuss some insightful results for AoI in parallel systems that we obtained using effective bandwidth and stochastic network calculus. A key question we will address is, when does a parallel-server system has lower AoI than a single-server system with equivalent capacity?

About Jaya Prakash Champati

Jaya Prakash Champati is an Assistant Professor at IMDEA Networks Institute, where he leads the Edge Networks group. His general research interest is in the scheduling of communication and computation for emerging applications in edge computing systems, edge AI, and quantum networking. Prior to joining IMDEA, he was a post-doctoral researcher in the division of Information Science and Engineering, EECS, KTH Royal Institute of Technology, Sweden. He obtained his PhD in Electrical and Computer Engineering from the University of Toronto, Canada in 2017, and his master of technology degree from the Indian Institute of Technology (IIT) Bombay, India in 2010.  Prior to joining PhD, he worked at Broadcom Communications, where he contributed to the LTE MAC layer development. He was awarded the prestigious Marie Skłodowska-Curie Actions (MSCA) postdoctoral fellowship, 2021, and he was a recipient of the best paper award at IEEE National Conference on Communications, India, 2011.

This event will be conducted in English