SimStore: Efficient Data Management for Network Propagation Simulation
Authors
Dacheng Qu, Lin Zhang, Zhao Cao
Corresponding Author
Dacheng Qu
Available Online January 2016.
- DOI
- 10.2991/icaita-16.2016.43How to use a DOI?
- Keywords
- social network; propagation; simulation; data management; compression
- Abstract
Simulation is widely adopted in large scale network propagation analytics. Plenty of analytics scenarios require to retrieve, review the simulation status of a given time points or interval. Unfortunately, it is unaffordable to re-run the simulation due to the long running time and other costs in many cases. In this paper, we introduce a system (SimStore) to enable efficient storage and retrieval of simulation snapshots. We present a novel technique to compress a series of simulation snapshots in order to reduce the storage cost. Experimental results demonstrate the efficiency and effectiveness of the proposed methods.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dacheng Qu AU - Lin Zhang AU - Zhao Cao PY - 2016/01 DA - 2016/01 TI - SimStore: Efficient Data Management for Network Propagation Simulation BT - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications PB - Atlantis Press SP - 168 EP - 171 SN - 1951-6851 UR - https://doi.org/10.2991/icaita-16.2016.43 DO - 10.2991/icaita-16.2016.43 ID - Qu2016/01 ER -