Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Bailu Ding"'
Publikováno v:
Proceedings of the VLDB Endowment. 14:3376-3388
We describe a new benchmark, DSB, for evaluating both workload-driven and traditional database systems on modern decision support workloads. DSB is adapted from the widely-used industrial-standard TPC-DS benchmark. It enhances the TPC-DS benchmark wi
Publikováno v:
SIGMOD Conference
Bitvector filtering is an important query processing technique that can significantly reduce the cost of execution, especially for complex decision support queries with multiple joins. Despite its wide application, however, its implication to query o
Publikováno v:
SIGMOD Conference
Recent research has shown promising results by using machine learning (ML) techniques to improve the performance of database systems, e.g., in query optimization or index recommendation. However, in many production deployments, the ML models' perform
Publikováno v:
Proceedings of the VLDB Endowment. 12:169-182
OLTP systems can often improve throughput by batching transactions and processing them as a group. Batching has been used for optimizations such as message packing and group commits; however, there is little research on the benefits of a holistic app
Publikováno v:
Proceedings of the VLDB Endowment. 11:1123-1136
Query performance regression due to the query optimizer selecting a bad query execution plan is a major pain point in production workloads. Commercial DBMSs today can automatically detect and correct such query plan regressions by storing previously-
Autor:
Bailu Ding, Chi Wang
Publikováno v:
KDD
Empirical entropy refers to the information entropy calculated from the empirical distribution of a dataset. It is a widely used aggregation function for knowledge discovery, as well as the foundation of other aggregation functions such as mutual inf
Publikováno v:
SIGMOD Conference
State-of-the-art index tuners rely on query optimizer's cost estimates to search for the index configuration with the largest estimated execution cost improvement`. Due to well-known limitations in optimizer's estimates, in a significant fraction of
Publikováno v:
SoCC
We present Centiman, a system for high performance, elastic transaction processing in the cloud. Centiman provides serializability on top of a key-value store with a lightweight protocol based on optimistic concurrency control (OCC). Centiman is desi
Publikováno v:
SIGMOD Conference
Scaling-out a database system typically requires partitioning the database across multiple servers. If applications do not partition perfectly, then transactions accessing multiple partitions end up being distributed, which has well-known scalability
Autor:
Lucja Kot, Nate Foster, Christoph Koch, Hossein Hojjat, Sudip Roy, Bailu Ding, Johannes Gehrke, Gabriel Bender
Publikováno v:
SIGMOD Conference
Datastores today rely on distribution and replication to achieve improved performance and fault-tolerance. But correctness of many applications depends on strong consistency properties - something that can impose substantial overheads, since it requi