Publications related to Online transaction processing

Robustness Against Read Committed: A Free Transactional Lunch

Transaction processing is a central part of most database applications. While serializability remains the gold standard for desirable transactional semantics, many database systems offer improved transaction throughput at the expense of introducing potenti ...

ASSOC COMPUTING MACHINERY2022

Efficient GPU-accelerated Join Optimization for Complex Queries

Anastasia Ailamaki, Bikash Chandra, Srinivas Karthik Venkatesh, Riccardo Mancini, Vasileios Mageirakos

Analytics on modern data analytic and data warehouse systems often need to run large complex queries on increasingly complex database schemas. A lot of progress has been made on executing such complex queries using techniques like scale out query processin ...

IEEE2022

Performance Characterization of HTAP Workloads

Anastasia Ailamaki, Sandhya Dwarkadas, Utku Sirin

Hybrid Transactional and Analytical Processing (HTAP) systems have become popular in the past decade. HTAP systems allow running transactional and analytical processing workloads on the same data and hardware. As a result, they suffer from workload interfe ...

IEEE COMPUTER SOC2021

Robustness against Read Committed for Transaction Templates

Christoph Koch, Bas Ketsman

The isolation level Multiversion Read Committed (RC), offered by many database systems, is known to trade consistency for increased transaction throughput. Sometimes, transaction workloads can be safely executed under RC obtaining the perfect isolation of ...

ASSOC COMPUTING MACHINERY2021

A 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 MACHINERY2020

Adaptive partitioning and indexing for in situ query processing

Anastasia Ailamaki, Manolis Karpathiotakis, Ioannis Alagiannis, Manoussos Gavriil Athanassoulis, Matthaios Alexandros Olma

The constant flux of data and queries alike has been pushing the boundaries of data analysis systems. The increasing size of raw data files has made data loading an expensive operation that delays the data-to-insight time. To alleviate the loading cost, in ...

SPRINGER2020

Decentralized Industrial IoT Data Management Based on Blockchain and IPFS

Jinzhi Lu, Xiaochen Zheng

The wide application of Internet of Things (IoT) has fostered the development of Industry 4.0. In manufacturing domain, Industrial IoT (IIoT) are key components of the Factories of the Future (FoF). The big IIoT data are the foundation of implementing data ...

SPRINGER INTERNATIONAL PUBLISHING AG2020

Micro-architectural Analysis of OLAP: Limitations and Opportunities

Anastasia Ailamaki, Utku Sirin

Understanding micro-architectural behavior is important for efficiently using hardware resources. Recent work has shown that in-memory online transaction processing (OLTP) systems severely underutilize their core micro-architecture resources [29]. Whereas, ...

ASSOC COMPUTING MACHINERY2020

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Online transaction processing

Efficient Concurrent Analytical Query Processing using Data and Workload-conscious Sharing

Robustness Against Read Committed: A Free Transactional Lunch

Efficient GPU-accelerated Join Optimization for Complex Queries

Micro-architectural Analysis of Database Workloads

Performance Characterization of HTAP Workloads

Robustness against Read Committed for Transaction Templates

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

Adaptive partitioning and indexing for in situ query processing

Decentralized Industrial IoT Data Management Based on Blockchain and IPFS

Micro-architectural Analysis of OLAP: Limitations and Opportunities

Graph Chatbot

Chat with Graph Search

Robustness against Read Committed for Transaction Templates

Performance Characterization of HTAP Workloads

Micro-architectural Analysis of Database Workloads

Adaptive partitioning and indexing for in situ query processing

Decentralized Industrial IoT Data Management Based on Blockchain and IPFS

Micro-architectural Analysis of OLAP: Limitations and Opportunities

Efficient Concurrent Analytical Query Processing using Data and Workload-conscious Sharing

Efficient GPU-accelerated Join Optimization for Complex Queries

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