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Governor: Operator Placement for a Unified Fog-Cloud Environment
Citation key ChaudharyZM20
Author Ankit Chaudhary, Steffen Zeuch, Volker Markl
Year 2020
Journal to be published in Proceedings of the 23rd International Conference on Extending Database Technology (EDBT)
Note Recording of the conference presentation:
https://openproceedings.org/2020/conf/edbt/videos/demo-session2a/3_AnkitChaudharySteffenZeuchVolkerMarkl.mp4
Abstract The processing of geo-distributed data streams is a key challenge for many Internet of Things (IoT) applications. Cloud-based SPEs process data centrally and thus require all data to be present in the cloud before processing. However, this centralized approach becomes a bottleneck for processing data from millions of geodistributed sensors on a large scale IoT infrastructure. A new line of research extends the centralized cloud with decentralized fog devices to mitigate this bottleneck. One major challenge for an SPE in this unified fog-cloud environment is to fulfill user requirements by placing operators on fog or cloud nodes. In this demonstration, we introduce Governor, an operator placement approach for a unified fog-cloud environment. Our approach consists of the Governor placement process and Governor policies (GPs). The Governor placement process utilizes heuristicbased GPs to optimize operator placement for a user query. Using GPs, administrators can control the operator placement process to fulfill specific Service-Level-Agreement (SLA). We implement Governor in the NebulaStream Platform (NES), a data and application management system for the IoT. We showcase the impact of GPs on operator placement for different example queries. Our demonstration invites participants to simulate the operator placement of queries and discover their characteristics. This demonstration represents a first step towards an efficient operator placement approach for upcoming IoT infrastructures with millions of sensors and thousands of queries.
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