Data on the Edge: Leveraging the Network Edge for Internet Applications

The Hong Kong University of Science & Technology
Department of Computer Science and Engineering
Big Data Institute
Speaker:        Professor Divy Agrawal
                Dept. of Computer Science
                University of California at Santa Barbara

Title:          "Data on the Edge: Leveraging the Network Edge for
                 Internet Applications"

Date:           Monday, 14 May 2018

Time:           2:00pm to 3:00pm

Venue:          Lecture Theater H (near lift 27/28), HKUST


We propose Dynamic Paxos (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.


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