Solving the “One Concurrency Control Does Not Fit All” Problem for OLTP Databases
By Dixin Tang and Aaron J. Elmore, University of Chicago In this post, we present a new transactional database system that adaptively changes data organization and concurrency control protocols in response to workload changes. With the increasing memory sizes of … Continue reading →
ISTC Releases Open Source Code for BigDAWG Polystore System
By Dr. Tim Mattson, Intel and Dr. Vijay Gadepally and Kyle O’Brien, MIT Lincoln Laboratory Today, the ISTC for Big Data released the first version of BigDAWG, our polystore system for simplifying integration and analytics of disparate data at scale. BigDAWG is … Continue reading →
ISTC Researchers Present Work at NEDB Day 2017
ISTC for Big Data principal investigators, researchers and their students presented work at North East Database Day 2017, held at MIT’s Stata Center in Cambridge, Mass., on January 27, 2017. Microsoft and Facebook sponsored the event. The 9th Annual North East … Continue reading →
NVMRocks: RocksDB on Non-Volatile Memory Systems
By Jianhong Li (CMU), Andrew Pavlo (CMU), and Siying Dong (Facebook) Non-volatile memory (NVM) has been a game-changing memory technology. In contrast to traditional block-based durable storage devices, it provides low latency comparable to DRAM and byte-addressability. Although NVM is … Continue reading →
Write-Behind Logging
By Joy Arulraj, Matthew Perron, and Andrew Pavlo, Carnegie Mellon University In a joint collaboration between Carnegie Mellon University and Intel Labs, we explore the changes required in the logging and recovery algorithms in non-volatile memory database management systems (DBMSs). The results of this work … Continue reading →
Interactive Search and Exploration over Large Multidimensional Data
by Alexander Kalinin, Ugur Cetintemel and Stan Zdonik of Brown University In the Big Data era, professionals across scientific areas need efficient, interactive ad-hoc data analysis. Ideally, they need generic and reusable systems tools for interactive search, exploration and mining … Continue reading →
Genomics Data, Analytics and the Future of Climate Change
By Vijay Gadepally, MIT CSAIL, in collaboration with the Chisholm Laboratory at MIT Meet Prochlorococcus marinus, a marine cyanobacterium that’s intricately linked to the global carbon cycle, widely present in seawater, and possibly holds secrets to future climate change. These … Continue reading →
Rethinking Streaming: Correct State Matters!
by Nesime Tatbul, Intel Labs and MIT CSAIL; Kristin Tufte, Portland State University; and Stan Zdonik, Brown University Stream processing has largely been thought of as real-time analytics. Data enters the system as streams and analytic functions (aggregates) are computed on the … Continue reading →
Larger-than-Memory Data Management on Modern Storage Hardware for In-Memory OLTP Database Systems
By Lin Ma, Carnegie Mellon University; Joy Arulraj, Carnegie Mellon University; Sam Zhao, Brown University; Andrew Pavlo, Carnegie Mellon University; Subramanya R. Dulloor, Intel Labs; Michael J. Giardino, Georgia Institute of Technology; Jeff Parkhurst, Jason L. Gardner, Kshitij Doshi, Intel Labs; and Col. Stanley Zdonik, Brown … Continue reading →
TicToc: Time Traveling Optimistic Concurrency Control
By Xiangyao Yu, MIT CSAIL; Andrew Pavlo, Carnegie Mellon; Daniel Sanchez and Srinivas Devadas, MIT CSAIL The TicToc algorithm enables scalable and high-performing concurrency control for future multi- and many-core systems. Large-scale, highly parallel transaction processing systems can be built with TicToc. We … Continue reading →
What’s New
- Intel and the ISTC for Big Data (2012-2017): A Powerful Collaboration
- Solving the “One Concurrency Control Does Not Fit All” Problem for OLTP Databases
- Improving Clinical Decision-Making with Big Data
- ISTC Releases Open Source Code for BigDAWG Polystore System
Archives
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- August 2015
- July 2015
- June 2015
- May 2015
- April 2015
- February 2015
- January 2015
- December 2014
- November 2014
- October 2014
- September 2014
- August 2014
- July 2014
- May 2014
- April 2014
- February 2014
- December 2013
- November 2013
- October 2013
- September 2013
- August 2013
- July 2013
- June 2013
- May 2013
- April 2013
- March 2013
- February 2013
- January 2013
- December 2012
- November 2012
- October 2012
- September 2012
- August 2012
- April 2012
Categories
- Analytics
- Benchmarks
- Big Data Applications
- Big Data Architecture
- Computer Architecture
- Data Management
- Databases and Analytics
- DBMS
- Graph Computation
- High-Performance Computing
- ISTC for Big Data Blog
- Math and Algorithms
- Polystores
- Query Engines
- Storage
- Streaming Big Data
- Tools for Big Data
- Uncategorized
- Visualizing Big Data
Blogroll
- Andy Pavlo's Blog
- Communications of the ACM Blog
- Data Cereal
- DBMS2
- eScience Institute
- Forrester Research Big Data Blog
- Haystack Blog
- Intel Research Blog
- Interactive Data Lab
- KDNuggets
- Notes on Database Systems
- Planet Big Data Blog
- The CS Blog
- The Morning Paper
- UWDB
- Visualization Research Lab
- What's the Big Data?
