Concept
Partition (base de données)
Publications associées (13)
Dalton: Learned Partitioning for Distributed Data Streams
Anastasia Ailamaki, Eleni Zapridou, Ioannis Mytilinis
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 ...
2022A system design for elastically scaling transaction processing engines in virtualized servers
Anastasia Ailamaki, Angelos Christos Anadiotis, Raja Appuswamy, Hillel Avni
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 MACHINERY2020Monitoring distributed fragmented skylines
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 ...
2018Adaptive Cache Mode Selection for Queries over Raw Data
Anastasia Ailamaki, Tahir Azim, Azqa Nadeem
Caching the results of intermediate query results for future re-use is a common technique for improving the performance of analytics over raw data sources. An important design choice in this regard is whether to lazily cache only the offsets of satisfying ...
2018Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement
Anastasia Ailamaki, Iraklis Psaroudakis
Main-memory column-stores are called to efficiently use modern non-uniform memory access (NUMA) architectures to service concurrent clients on big data. The efficient usage of NUMA architectures depends on the data placement and scheduling strategy of the ...
2015ATraPos: Adaptive Transaction Processing on Hardware Islands
Anastasia Ailamaki, Pinar Tözün, Danica Porobic, 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 ...
2014Online 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 Berlin2014Scalable 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 ...
2013From A to E: Analyzing TPC’s OLTP Benchmarks -- The obsolete, the ubiquitous, the unexplored
Anastasia Ailamaki, Pinar Tözün, Ippokratis Pandis, Ilknur Cansu Kaynak, Dorde Jevdic
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 ...
2013PLP: Page Latch-free Shared-everything OLTP
Anastasia Ailamaki, Frederick Ryan Johnson, Pinar Tözün, Ippokratis Pandis
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