Tag Archives:

Feral Concurrency Control: An Empirical Investigation of Modern Application Integrity

Peter Bailis, Alan Fekete, Michael Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica
ACM SIGMOD Conference 2015, May. 2015.

Tags: concurrency control, coordination avoidance, transactions

Coordination Avoidance in Database Systems

Peter Bailis, Alan Fekete, Michael Franklin, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica
VLDB 2015 (PVLDB Vol. 8 No. 3), Aug. 2015.

Tags: coordination, databases, scalability, transactions

Scalable Atomic Visibility with RAMP Transactions

Peter Bailis, Alan Fekete, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica
ACM SIGMOD Conference 2014, Jun. 2014.

Tags: acid, availability, consistency, non-blocking, ramp, scalability, transactions

PLANET: Making Progress with Commit Processing in Unpredictable Environments

Gene Pang, Tim Kraska, Michael Franklin, Alan Fekete
SIGMOD, Jun. 2014.

Tags: data centers, databases, transaction programming model, transactions

Transactions, High Availability, and Scalability: Friends or Foes?

Posted on October 22, 2013 by Peter Bailis

Many of today’s data-intensive applications at scale require always-on operation and low-latency query execution, which has led to quite a … Continue reading →

Highly Available Transactions: Virtues and Limitations

Peter Bailis, Aaron Davidson, Alan Fekete, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica
VLDB 2014, Sep. 2014.

Tags: consistency, databases, high availability, scalability, transactions

HAT, not CAP: Towards Highly Available Transactions

Peter Bailis, Alan Fekete, Ali Ghodsi, Joseph M. Hellerstein, Ion Stoica
USENIX HotOS, May. 2013.

Tags: consistency, databases, transactions

MDCC: Multi-Data Center Consistency

Tim Kraska, Gene Pang, Michael Franklin, Sam Madden, Alan Fekete
EuroSys, Apr. 2013.

Tags: consistency, data centers, paxos, transactions

MDCC: Multi-Data Center Consistency

MDCC (Multi-Data Center Consistency) is a project to efficiently achieve stronger consistency for databases deployed across several different data centers. … Continue reading →