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ZipG

Anurag Khandelwal, Zongheng Yang, Evan Ye, Rachit Agarwal, Ion Stoica
2017 Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD '17  
We present ZipG, a distributed memory-efficient graph store for serving interactive graph queries. ZipG achieves memory efficiency by storing the input graph data using a compressed representation.  ...  ZipG can thus execute a larger fraction of queries in main memory, achieving query interactivity.  ...  We present ZipG -a memory-efficient, distributed graph store for efficiently serving interactive graph queries.  ... 
doi:10.1145/3035918.3064012 dblp:conf/sigmod/KhandelwalYY0S17 fatcat:d7ouljqbgza2lehoshuf37npua

Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems [article]

Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, Torsten Hoefler
2021 arXiv   pre-print
However, they differ in their general architectures (with key details such as the support for the concurrent execution of graph updates and queries, or the incorporated graph data organization), the types  ...  Moreover, we provide a bridge with the very rich landscape of graph streaming theory by giving a broad overview of recent theoretical related advances, and by discussing which graph streaming models and  ...  We thank PRODYNA AG (Darko Križić, Jens Nixdorf, and Christoph K örner) for generous support, and anonymous reviewers for comments that helped to significantly enhance the paper quality.  ... 
arXiv:1912.12740v4 fatcat:no647uyvbzgnvpdpmmmoxao2xm

Columnar Storage and List-based Processing for Graph Database Management Systems [article]

Pranjal Gupta, Amine Mhedhbi, Semih Salihoglu
2021 arXiv   pre-print
We first derive a set of desiderata for optimizing storage and query processors of GDBMS based on their access patterns.  ...  We revisit column-oriented storage and query processing techniques in the context of contemporary graph database management systems (GDBMSs).  ...  We thank the anonymous reviewers for their valuable comments.  ... 
arXiv:2103.02284v2 fatcat:57nkckqv5zceni4yz5d47xfvtu

Survey and Taxonomy of Lossless Graph Compression and Space-Efficient Graph Representations [article]

Maciej Besta, Torsten Hoefler
2019 arXiv   pre-print
Compressing such datasets can accelerate graph processing by reducing the amount of I/O accesses and the pressure on the memory subsystem.  ...  ., compressing web graphs), techniques (e.g., gap encoding), and features (e.g., whether or not a given scheme targets dynamic graphs).  ...  ACKNOWLEDGEMENTS We thank Olivier Devillers, Hsueh-I Lu, Miguel A. Martínez Prieto, Luca Castelli Aleardi, Gonzalo Navarro, and Sebastiano Vigna for their insightful comments.  ... 
arXiv:1806.01799v2 fatcat:r7lvpwok4neyrinmpomx4g6cca