Publications by Miguel Sérgio De Oliveira Branco

Characterization of the Impact of Hardware Islands on OLTP

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

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

Springer Verlag2016

NoDB: Efficient Query Execution on Raw Data Files

Anastasia Ailamaki, Ioannis Alagiannis, Miguel Sérgio De Oliveira Branco, Renata Borovica-Gajic

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

Assoc Computing Machinery2015

Just-In-Time Data Virtualization: Lightweight Data Management with ViDa

Anastasia Ailamaki, Thomas Heinis, Miguel Sérgio De Oliveira Branco, Manolis Karpathiotakis, Ioannis Alagiannis

As the size of data and its heterogeneity increase, traditional database system architecture becomes an obstacle to data analysis. Integrating and ingesting (loading) data into databases is quickly becoming a bottleneck in face of massive data as well as i ...

2015

Adaptive Query Processing on RAW Data

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Manolis Karpathiotakis, Ioannis Alagiannis

Database systems deliver impressive performance for large classes of workloads as the result of decades of research into optimizing database engines. High performance, however, is achieved at the cost of versatility. In particular, database systems only op ...

2014

Query management system and engine allowing for efficient query execution on raw details

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Ioannis Alagiannis, Renata Borovica-Gajic

A database system maintains a feature set of a modern database system while operating directly on raw data files. Systems may use an adaptive indexing mechanism that maintains positional information to provide efficient access to raw data files, a flexible ...

2014

OLTP on Hardware Islands

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

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: Efficient Query Execution on Raw Data Files

Anastasia Ailamaki, Ioannis Alagiannis, Miguel Sérgio De Oliveira Branco, Renata Borovica-Gajic

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

Same Queries, Different Data: Can we Predict Query Performance?

Anastasia Ailamaki, Adrian Daniel Popescu, Miguel Sérgio De Oliveira Branco

We consider MapReduce workloads that are produced by analytics applications. In contrast to ad hoc query workloads, analytics applications are comprised of fixed data flows that are run over newly arriving data sets or on different portions of an existing ...

2012

NoDB in Action: Adaptive Query Processing on Raw Data

Anastasia Ailamaki, Ioannis Alagiannis, Miguel Sérgio De Oliveira Branco, Renata Borovica-Gajic

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

Challenges and Opportunities in Self-Managing Scientific Databases

Anastasia Ailamaki, Thomas Heinis, Miguel Sérgio De Oliveira Branco, Ioannis Alagiannis, Farhan Tauheed, Renata Borovica-Gajic

Advances in observation instruments and abundance of computational power for simulations encourage scientists to gather and produce unprecedented amounts of increasingly complex data. Organizing data automatically to enable efficient and unobstructed acces ...

2011