Cloud service providers host web and cloud applications on datacenters across the world. The area of Global-scale Data Management explores the opportunity of deploying cloud applications on multiple datacenters for fault-tolerance, availability, and cost effectiveness. This page summarizes some of our work in this area and provides useful resources for researchers and practitioners interested in global-scale data management.
The Challenges of Global-scale Data Management
(SIGMOD 2016 Tutorial)
DB-Risk: The Game of Global Database Placement
(SIGMOD 2016 Demo)
Minimizing Commit Latency of Transactions in Geo-Replicated Data Stores
(SIGMOD 2015)
Chariots : A Scalable Shared Log for Data Management in Multi-Datacenter Cloud Environments
(EDBT 2015)
Mind your Ps and Vs: A perspective on the challenges of big data management and privacy concerns
(BigComp 2015)
Message Futures: Fast Commitment of Transactions in Multi-datacenter Environments.
(CIDR 2013)
Low-Latency Multi-Datacenter Databases using Replicated Commits.
(VLDB 2013)
Managing Geo-replicated Data in Multi-datacenters.
(Springer Databases in Networked Information Systems 2013)
Serializability, not Serial: Concurrency Control and Availability in Multi-Datacenter Datastores.
(VLDB 2012)