Publications related to To Share or Not To Share?

Scalable and Dynamically Balanced Shared-Everything OLTP with Physiological Partitioning

Anastasia Ailamaki, Frederick Ryan Johnson, Pinar Tözün, Ippokratis Pandis

Scaling the performance of shared-everything transaction processing systems to highly-parallel multicore hardware remains a challenge for database system designers. Recent proposals alleviate locking and logging bottlenecks in the system, leaving page latc ...

2013

Scalability of write-ahead logging on multicore and multisocket hardware

Anastasia Ailamaki, Frederick Ryan Johnson, Manoussos Gavriil Athanassoulis, Ippokratis Pandis, Radu Ioan Stoica

The shift to multi-core and multi-socket hardware brings new challenges to database systems, as the software parallelism determines performance. Even though database systems traditionally accommodate simultaneous requests, a multitude of synchronization ba ...

2012

OLTP on Hardware Islands

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Pinar Tözün, Ippokratis Pandis, Danica Porobic

Modern hardware is abundantly parallel and increasingly heterogeneous. The numerous processing cores have non-uniform access latencies to the main memory and to the processor caches, which causes variability in the communication costs. Unfortunately, datab ...

2012

NoDB in Action: Adaptive Query Processing on Raw Data

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Ioannis Alagiannis

As data collections become larger and larger, users are faced with increasing bottlenecks in their data analysis. More data means more time to prepare the data, to load the data into the database and to execute the desired queries. Many applications alread ...

VLDB Endowment2012

NoDB: Efficient Query Execution on Raw Data Files

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Ioannis Alagiannis

As data collections become larger and larger, data loading evolves to a major bottleneck. Many applications already avoid using database systems, e.g., scientific data analysis and social networks, due to the complexity and the increased data-to-query time ...

2012

Here are my Data Files. Here are my Queries. Where are my Results?

Anastasia Ailamaki, Frederick Ryan Johnson, Ioannis Alagiannis

Database management systems (DBMS) provide incredible flexibility and performance when it comes to query processing, scalability and accuracy. To fully exploit DBMS features, however, the user must define a schema, load the data, tune the system for the ex ...

2011

Compression with Graphical Constraints: An Interactive Browser

Amin Karbasi, Morteza Zadimoghaddam

We study the problem of navigating/searching through a database of objects with potentially different popularities using a membership oracle. The membership oracle, given a subset of objects

A

, and a target object

t

, determines whether

A

contains

t

...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Predictable performance and high query concurrency for data analytics

George Candea

Conventional data warehouses employ the query- at-a-time model, which maps each query to a distinct physical plan. When several queries execute concurrently, this model introduces contention and thrashing, because the physical plans—unaware of each other—c ...

2011

Entangled queries: enabling declarative data-driven coordination

Christoph Koch

Many data-driven social and Web applications involve collaboration and coordination. The vision of Declarative Data-Driven Coordination (D3C), proposed in Kot et al. [2010], is to support coordination in the spirit of data management: to make it data-centr ...

Assoc Computing Machinery2011

Database Queries in Java

Christopher Ming-Yee Iu

In conventional programming languages like Java, the interface for accessing databases is often inelegant. Typically, an entire separate database query language must be embedded inside a conventional programming language for programmers to access the full ...

EPFL2010

To Share or Not To Share?

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Scalable and Dynamically Balanced Shared-Everything OLTP with Physiological Partitioning

Scalability of write-ahead logging on multicore and multisocket hardware

OLTP on Hardware Islands

NoDB in Action: Adaptive Query Processing on Raw Data

NoDB: Efficient Query Execution on Raw Data Files

Here are my Data Files. Here are my Queries. Where are my Results?

Compression with Graphical Constraints: An Interactive Browser

Predictable performance and high query concurrency for data analytics

Entangled queries: enabling declarative data-driven coordination

Database Queries in Java

Compression with Graphical Constraints: An Interactive Browser

Database Queries in Java

NoDB: Efficient Query Execution on Raw Data Files

Here are my Data Files. Here are my Queries. Where are my Results?

OLTP on Hardware Islands

Scalable and Dynamically Balanced Shared-Everything OLTP with Physiological Partitioning

Scalability of write-ahead logging on multicore and multisocket hardware

Predictable performance and high query concurrency for data analytics

Entangled queries: enabling declarative data-driven coordination

NoDB in Action: Adaptive Query Processing on Raw Data