PETGraphDB: A Property Evolution Temporal Graph Data Management System
Jinghe Song, Zongyu Zuo, Xuelian Lin, Yang Wang, and Shuai Ma

TL;DR
PETGraph is a specialized data management system designed for Property Evolution Temporal Graphs, offering efficient storage, high transaction throughput, and fast query processing tailored to IoT and dynamic property data.
Contribution
The paper introduces PETGraph, a novel system optimized for Property Evolution Temporal Graphs, with a new data model, space-efficient storage, and enhanced concurrency control.
Findings
Uses only 33% of storage space compared to existing solutions.
Achieves 58.8x higher transaction throughput in HTAP workloads.
Outperforms current solutions by 267x in query latency.
Abstract
Temporal graphs are graphs whose nodes and edges, together with their associated properties, continuously change over time. With the development of Internet of Things (IoT) systems, a subclass of the temporal graph, i.e., Property Evolution Temporal Graph, in which the value of properties on nodes or edges changes frequently while the graph's topology barely changes, is growing rapidly. However, existing temporal graph management solutions are not oriented to the Property Evolution Temporal Graph data, which leads to highly complex data modeling and low-performance query processing of temporal graph queries. To solve these problems, we developed PETGraph, a data management system for Property Evolution Temporal Graph data. PETGraph adopts a valid-time temporal property graph data model to facilitate data modeling, supporting ACID features with transactions. To improve temporal graph…
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Taxonomy
TopicsGraph Theory and Algorithms · Semantic Web and Ontologies · Advanced Database Systems and Queries
