54 citations · 91 across the 12 of their papers we have counts for
10 papers · 1 filter
VIP Hashing -- Adapting to Skew in Popularity of Data on the Fly (extended version)
Aarati Kakaraparthy, Jignesh M. Patel, Brian P. Kroth +1
All data is not equally popular. Often, some portion of data is more frequently accessed than the rest, which causes a skew in popularity of the data items. Adapting to this skew c…
To pipeline or not to pipeline, that is the question
Harshad Deshmukh, Bruhathi Sundarmurthy, Jignesh M. Patel
In designing query processing primitives, a crucial design choice is the method for data transfer between two operators in a query plan. As we were considering this critical design…
Scaling-Up In-Memory Datalog Processing: Observations and Techniques
Zhiwei Fan, Jianqiao Zhu, Zuyu Zhang +3
Recursive query processing has experienced a recent resurgence, as a result of its use in many modern application domains, including data integration, graph analytics, security, pr…
Towards Linear Algebra over Normalized Data
Lingjiao Chen, Arun Kumar, Jeffrey Naughton +1
Providing machine learning (ML) over relational data is a mainstream requirement for data analytics systems. While almost all the ML tools require the input data to be presented as…
Can the Elephants Handle the NoSQL Onslaught?
Avrilia Floratou, Nikhil Teletia, David J. Dewitt +2
In this new era of "big data", traditional DBMSs are under attack from two sides. At one end of the spectrum, the use of document store NoSQL systems (e.g. MongoDB) threatens to mo…
Towards Energy-Efficient Database Cluster Design
Willis Lang, Stavros Harizopoulos, Jignesh M. Patel +2
Energy is a growing component of the operational cost for many "big data" deployments, and hence has become increasingly important for practitioners of large-scale data analysis wh…