18 May, 2018

Seminar on Network Edge for Internet Applications

Prof Divy Agrawal, Professor of Computer Science at the University of California at Santa Barbara paid a visit to HKUST on 14 May 2018 (Monday) and delivered a presentation titled “Data on the Edge: Leveraging the Network Edge for Internet Applications”. The talk was jointly organized by the Big Data Institute and Department of Computer Science and Engineering of HKUST.

In the presentation, Prof Agrawal shared the research work on Dynamic Paxos (DPaxos). His research team proposed DPaxos, a Paxos-based consensus protocol to manage access to partitioned data across globally-distributed datacenters and edge nodes.

DPaxos is intended to implement a State Machine Replication component in data management systems for the edge. DPaxos targets the unique opportunities of utilizing edge computing resources to support emerging applications with stringent mobility and real-time requirements such as Augmented and Virtual Reality and vehicular applications. The main objective of DPaxos is to reduce the latency of serving user requests, recovering from failures, and reacting to mobility. DPaxos achieves these objectives by a few proposed changes to the traditional Paxos protocol. Most notably, DPaxos proposes a dynamic allocation of quorums (i.e., groups of nodes) that are needed for Paxos Leader Election. Leader Election quorums in DPaxos are smaller than traditional Paxos and expand only in the presence of conflicts.

Prof Divy Agrawal is a Professor of Computer Science at the University of California at Santa Barbara. His research interests are in the areas of databases, distributed systems, cloud computing, and big data infrastructures and analysis. He is the Fellow of the ACM, the IEEE, and the AAAS. He serves as the Editor-in-Chief of Journal of Distributed and Parallel Databases and serves on the Editorial boards of ACM Transactions of Spatial Algorithms and Systems and ACM Books. He has published 400+ articles on databases and distributed systems and has supervised 35+ PhD students during his tenure at the University of California at Santa Barbara.