DataFog: Towards a Holistic Data Management Platform for the IoT Age at the Network Edge


Harshit Gupta, Zhuangdi Xu, and Umakishore Ramachandran, Georgia Institute of Technology


The increasing adoption of the Internet of Things (IoT) paradigm in structuring services for “smart cities” has led to an explosion of data generated, ingested, processed, and stored in the system. Traditional time-series databases being Cloud-based are not suitable for meeting the low-latency requirement of such geo-distributed smart services. We propose DataFog, a geo-distributed data-management platform at the edge of the network to cater to the needs of smart services for the IoT age. We identify key challenges towards building such a database over a widely geo-distributed and heterogeneous edge computing environment. Preliminary evaluations show the performance potential of DataFog in comparison to state-of-the-art distributed data-stores. DataFog is the first system, to the best of the authors’ knowledge, that is meant for data-management at the network edge.

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@inproceedings {216797,
author = {Harshit Gupta and Zhuangdi Xu and Umakishore Ramachandran},
title = {DataFog: Towards a Holistic Data Management Platform for the IoT Age at the Network Edge},
booktitle = {{USENIX} Workshop on Hot Topics in Edge Computing (HotEdge 18)},
year = {2018},
address = {Boston, MA},
url = {},
publisher = {{USENIX} Association},