AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems-Reference-Cited by-同舟云学术

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AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 39th International Conference on Data Engineering (ICDE)
language:
Short-container-title:

Author:

Zheng Long¹,Ye Xiangyu¹,Liu Haifeng¹,Wang Qinggang¹,Huang Yu¹,Gui Chuangyi¹,Yao Pengcheng¹,Liao Xiaofei¹,Jin Hai¹,Xue Jingling²

Affiliation:

1. Huazhong University of Science and Technology,National Engineering Research Center for Big Data Technology and System/Services Computing Technology and System Lab/Cluster and Grid Computing Laboratory,Wuhan,China,430074

2. UNSW,School of Computer Science and Engineering,Sydney,Australia

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10184508/10184509/10184537.pdf?arnumber=10184537

Reference50 articles.

1. The Number of Tweets per Day in 2020,2020

2. Ligra

3. Efficient snapshot retrieval over historical graph data

4. Chronos

5. PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs;gonzalez;Proc Operating System Design and Implementation (OSDI),2012

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