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Predictable performance and high query concurrency for data analytics

Publications associées (93)

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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

Design and implementation of an efficient data stream processing system

Ali Salehi

In standard database scenarios, an end-user assumes that all data (e.g., sensor readings) is stored in a database. Therefore, one can simply submit any arbitrary complex processing in the form of SQL queries or stored procedures to a database server. Data ...

EPFL2010

JReq: Database Queries in Imperative Languages

Willy Zwaenepoel, Emmanuel Cecchet, Christopher Ming-Yee Iu

Instead of writing SQL queries directly, programmers often prefer writing all their code in a general purpose programming language like Java and having their programs be automatically rewritten to use database queries. Traditional tools such as object-rela ...

Springer Verlag2010

On Probabilistic Fixpoint and Markov Chain Query Languages.

Christoph Koch

We study highly expressive query languages such as datalog, fixpoint, and while-languages on probabilistic databases. We generalize these languages such that computation steps (e.g. datalog rules) can fire probabilistically. We define two possible semantic ...

2010

Adaptive query execution for data management in the cloud

Anastasia Ailamaki, Debabrata Dash, Adrian Daniel Popescu

A major component of many cloud services is query processing on data stored in the underlying cloud cluster. The traditional techniques for query processing on a cluster are those offered by parallel DBMS. These techniques however, cannot guarantee high pe ...

ACM Press2010

Incremental Query Evaluation in a Ring of Databases.

Christoph Koch

This paper approaches the incremental view maintenance problem from an algebraic perspective. We construct a ring of databases and use it as the foundation of the design of a query calculus that allows to express powerful aggregate queries. The query calcu ...

2010

A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses

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, because the physical plans—unaware of each other—compete for acce ...

2009

DBToaster: A SQL Compiler for High-Performance Delta Processing in Main-Memory Databases

Christoph Koch, Yanif Ahmad

We present DBToaster, a novel query compilation framework for producing high performance compiled query executors that incrementally and continuously answer standing aggregate queries using in-memory views. DBToaster targets applications that require effic ...

2009

Towards Integrated and Efficient Scientific Sensor Data Processing: A Database Approach

Karl Aberer, Jie Wu

In this work, we focus on managing scientific environmental data, which are measurement readings collected from wireless sensors. In environmental science applications, raw sensor data often need to be validated, interpolated, aligned and aggregated before ...

2009

Efficient Model-driven Query Processing Based on Data Regeneration

Saket Sathe, Petre Alexandru Arion

Nowadays, sensor data is generated in large amounts. Stor- ing or transmitting all the sensor’s measurements might not be the ideal choice because of the volume (and rate) at which it is generated. But we also cannot easily discard it, since ev- ery data m ...

2009