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Concept

Partition (database)

Related publications (10)

Dalton: Learned Partitioning for Distributed Data Streams

Anastasia Ailamaki, Ioannis Mytilinis, Eleni Zapridou

To sustain the input rate of high-throughput streams, modern stream processing systems rely on parallel execution. However, skewed data yield imbalanced load assignments and create stragglers that hinder scalability. Deciding on a static partitioning for a ...

2022

A system design for elastically scaling transaction processing engines in virtualized servers

Anastasia Ailamaki, Raja Appuswamy, Angelos Christos Anadiotis

Online Transaction Processing (OLTP) deployments are migrating from on-premise to cloud settings in order to exploit the elasticity of cloud infrastructure which allows them to adapt to workload variations. However, cloud adaptation comes at the cost of re ...

ASSOC COMPUTING MACHINERY2020

Monitoring distributed fragmented skylines

Odysseas Papapetrou

Distributed skyline computation is important for a wide range of domains, from distributed and web-based systems to ISP-network monitoring and distributed databases. The problem is particularly challenging in dynamic distributed settings, where the goal is ...

2018

ATraPos: Adaptive Transaction Processing on Hardware Islands

Anastasia Ailamaki, Danica Porobic, Pinar Tözün, Erietta Liarou

Nowadays, high-performance transaction processing applications increasingly run on multisocket multicore servers. Such architectures exhibit non-uniform memory access latency as well as non-uniform thread communication costs. Unfortunately, traditional sha ...

2014

Online indexing and distributed querying model-view sensor data in the cloud

Karl Aberer, Tian Guo, Hao Zhuang

As various kinds of sensors penetrate our daily life (e.g., sensor networks for environmental monitoring, GPS for localization and navigation), the efficient management of massive amount of sensor data becomes increasingly important at present. Many sensor ...

Springer-Verlag Berlin2014

Scalable and Dynamically Balanced Shared-Everything OLTP with Physiological Partitioning

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

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

From A to E: Analyzing TPC’s OLTP Benchmarks -- The obsolete, the ubiquitous, the unexplored

Anastasia Ailamaki, Ippokratis Pandis, Pinar Tözün, Dorde Jevdic, Ilknur Cansu Kaynak

Introduced in 2007, TPC-E is the most recently standardized OLTP benchmark by TPC. Even though TPC-E has already been around for six years, it has not gained the popularity of its predecessor TPC-C: all the published results for TPC-E use a single database ...

2013

PLP: Page Latch-free Shared-everything OLTP

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

Scaling the performance of shared-everything on-line transaction processing to highly-parallel multicore hardware remains a great challenge for database system designers. Developments in OLTP technology remove locking and logging from being scalability bot ...

2011

A self-organized, fault-tolerant and scalable replication scheme for cloud storage

Karl Aberer, Nicolas Bonvin

Failures of any type are common in current datacenters, partly due to the higher scales of the data stored. As data scales up, its availability becomes more complex, while different availability levels per application or per data item may be required. In t ...

ACM2010

Similarity Queries on Structured Data in Structured Overlays

Manfred Hauswirth

Structured P2P systems based on distributed hash tables are a popular choice for building large-scaled data management systems. Generally, they only support exact match queries, but data heterogeneities often demand for more complex query types, particular ...

2006