Hybrid Transactional and Analytical Processing

Giceva, Jana; Sadoghi, Mohammad

doi:10.1007/978-3-319-63962-8_179-2

Cited by 1 publication

(1 citation statement)

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“…HTAP, first defined by Gartner Inc. in 2014, is a data management architecture aimed at simultaneously processing transactions on the most recently received data while addressing workloads for real-time analytics [5]. HTAP was introduced to surpass traditional data management systems, whose architecture sacrificed real-time capabilities when analyzing data, due to the use of separate systems for transaction processing (OLTP) and analytical processing (OLAP) while bearing the costs of ETL (extract, transform, load) operations.…”

Section: Htap (Hybrid Transactional/analytical Processing)mentioning

confidence: 99%

The Distributed HTAP Architecture for Real-Time Analysis and Updating of Point Cloud Data

Kim,

Moon

2023

Electronics

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Updating the most recent set of point cloud data is critical in autonomous driving environments. However, existing systems for point cloud data management often fail to ensure real-time updates or encounter situations in which data cannot be effectively refreshed. To address these challenges, this study proposes a distributed hybrid transactional/analytical processing architecture designed for the efficient management and real-time processing of point cloud data. The proposed architecture leverages both columnar and row-based tables, enabling it to handle the substantial workloads associated with its hybrid architecture. The construction of this architecture as a distributed database cluster ensures real-time online analytical process query performance through query parallelization. A dissimilarity analysis algorithm for point cloud data, built by utilizing the capabilities of the spatial database, updates the point cloud data for the relevant area whenever the online analytical process query results indicate high dissimilarity. This research contributes to ensuring real-time hybrid transactional/analytical processing workload processing in dynamic road environments, helping autonomous vehicles generate safe, optimized routes.

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Section: Htap (Hybrid Transactional/analytical Processing)mentioning

confidence: 99%