FogGuru: a Fog Computing Platform Based on Apache Flink

Davaadorj Battulga 1, 2 Daniele Miorandi 1 Cédric Tedeschi 2
2 MYRIADS - Design and Implementation of Autonomous Distributed Systems
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
Abstract : Fog computing infrastructure aims to offload computing resources from cloud providers by placing edge devices closer to end-users and/or data sources. Systems and methods for developing and deploying an application in Fog nodes are still in their infancy. In this work, we present FogGuru, a fog computing platform meant to facilitate application deployment in Fog environments. FogGuru builds upon the stream processing paradigm for fog applications design; its implementation makes use of the open-source Apache Flink stream processing engine. The demo will showcase a Fog-based traffic analytics application deployed using FogGuru and running on a fog node, composed of a cluster of five Raspberry Pis.
Complete list of metadatas

Cited literature [8 references]  Display  Hide  Download

https://hal.inria.fr/hal-02463206
Contributor : Cédric Tedeschi <>
Submitted on : Tuesday, February 4, 2020 - 3:49:47 PM
Last modification on : Sunday, February 16, 2020 - 1:05:19 AM

Identifiers

  • HAL Id : hal-02463206, version 1

Citation

Davaadorj Battulga, Daniele Miorandi, Cédric Tedeschi. FogGuru: a Fog Computing Platform Based on Apache Flink. 23rd Conference on Innovation in Clouds, Internet and Networks (ICIN 2020), Feb 2020, Paris, France. ⟨hal-02463206⟩

Share

Metrics

Record views

101

Files downloads

170