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Poster Abstract: Resource Aware Placement of Data Stream Analytics Operators on Fog Infrastructure for Internet of Things Applications

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/spe.2509openalex-snapshot
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
inferredcites →https://doi.org/10.1007/s13174-010-0007-6openalex-snapshot
Cloud computing: state-of-the-art and research challenges
inferredcites →https://doi.org/10.1016/j.future.2012.05.023openalex-snapshot
Mobile cloud computing: A survey
inferredcites →https://doi.org/10.1109/atnac.2014.7020884openalex-snapshot
Fog computing: A cloud to the ground support for smart things and machine-to-machine networks
inferredcites →https://doi.org/10.1109/hpcsim.2009.5192685openalex-snapshot
Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities
inferredcites →https://doi.org/10.1145/2342509.2342513openalex-snapshot
Fog computing and its role in the internet of things
inferredcites →https://doi.org/10.48550/arxiv.1606.02007openalex-snapshot
iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/spe.2704openalex-snapshot
SmartHerd management: A microservices‐based fog computing–assisted IoT platform towards data‐driven smart dairy farming
inferred← citeshttps://doi.org/10.1007/s12083-019-00728-0openalex-snapshot
Fog computing in internet of things: Practical applications and future directions
inferred← citeshttps://doi.org/10.1080/08839514.2021.2008149openalex-snapshot
An Evolutionary Multi-objective Optimization Technique to Deploy the IoT Services in Fog-enabled Networks: An Autonomous Approach
inferred← citeshttps://doi.org/10.1109/access.2019.2907808openalex-snapshot
Distributed Decomposed Data Analytics in Fog Enabled IoT Deployments
inferred← citeshttps://doi.org/10.1109/cfec.2018.8358724openalex-snapshot
An Extension to iFogSim to Enable the Design of Data Placement Strategies
inferred← citeshttps://doi.org/10.1109/comst.2018.2814571openalex-snapshot
Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges
inferred← citeshttps://doi.org/10.1109/cybermatics_2018.2018.00108openalex-snapshot
A Multi-Objective Data Placement Method for IoT Applications Over Big Data Using NSGA-II
inferred← citeshttps://doi.org/10.1109/fmec.2018.8364053openalex-snapshot
Comparing centrality indices for network usage optimization of data placement policies in fog devices
inferred← citeshttps://doi.org/10.1109/icfec.2017.9openalex-snapshot
Efficient Edge Storage Management Based on Near Real-Time Forecasts
inferred← citeshttps://doi.org/10.1109/tmc.2018.2883952openalex-snapshot
Beef Up the Edge: Spectrum-Aware Placement of Edge Computing Services for the Internet of Things
inferred← citeshttps://doi.org/10.1109/wf-iot.2018.8355141openalex-snapshot
Fog assisted application support for animal behaviour analysis and health monitoring in dairy farming
inferred← citeshttps://doi.org/10.1145/3018896.3018940openalex-snapshot
A cloud-based live streaming service for SDN-NFV enabled carriers
inferred← citeshttps://doi.org/10.1145/3309545openalex-snapshot
Smart City System Design
inferred← citeshttps://doi.org/10.23919/inm.2017.7987464openalex-snapshot
Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm
inferred← citeshttps://doi.org/10.3390/s17112512openalex-snapshot
Smart Collaborative Caching for Information-Centric IoT in Fog Computing
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