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A Scalable Framework for Provisioning Large-Scale IoT Deployments

https://doi.org/10.1145/2850416
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-19656-5openalex-snapshot
Internet of Things. User-Centric IoT
inferredcites →https://doi.org/10.1007/978-3-319-19656-5_38openalex-snapshot
COLT Collaborative Delivery of Lightweight IoT Applications
inferredcites →https://doi.org/10.1007/978-3-642-31217-5_37openalex-snapshot
Performance Evaluation of Cellular Communication Systems for M2M Communication in Smart Grid Applications
inferredcites →https://doi.org/10.1007/978-3-642-40316-3_5openalex-snapshot
Deployment of Smart Spaces in Internet of Things: Overview of the Design Challenges
inferredcites →https://doi.org/10.1007/978-3-642-40403-0_8openalex-snapshot
IoT Reference Architecture
inferredcites →https://doi.org/10.1007/bf01231356openalex-snapshot
Chronological scheduling of transactions with temporal dependencies
inferredcites →https://doi.org/10.1007/s10098-014-0828-2openalex-snapshot
A semantic service-oriented platform for energy efficient buildings
inferredcites →https://doi.org/10.1007/s10796-014-9492-7openalex-snapshot
The internet of things: a survey
inferredcites →https://doi.org/10.1016/j.procs.2013.09.018openalex-snapshot
Guidelines for Internet of Things Deployment Approaches – The Thing Commandments
inferredcites →https://doi.org/10.1016/j.rser.2014.07.044openalex-snapshot
A modular optimisation model for reducing energy consumption in large scale building facilities
inferredcites →https://doi.org/10.1109/bigdata.congress.2014.78openalex-snapshot
Auto-configuration System and Algorithms for Big Data-Enabled Internet-of-Things Platforms
inferredcites →https://doi.org/10.1109/cloud.2013.64openalex-snapshot
Efficient and Scalable IoT Service Delivery on Cloud
inferredcites →https://doi.org/10.1109/cloud33104.2014openalex-snapshot
2014 IEEE 7th International Conference on Cloud Computing
inferredcites →https://doi.org/10.1109/csae.2011.5952541openalex-snapshot
Over the air provisioning of industrial wireless devices using elliptic curve cryptography
inferredcites →https://doi.org/10.1109/euc.2010.58openalex-snapshot
IOT Gateway: BridgingWireless Sensor Networks into Internet of Things
inferredcites →https://doi.org/10.1109/iisa.2013.6623710openalex-snapshot
Developing an IoT Smart City framework
inferredcites →https://doi.org/10.1109/mcom.2012.6384464openalex-snapshot
Management of resource constrained devices in the internet of things
inferredcites →https://doi.org/10.1109/mobserv.2015.49openalex-snapshot
DIANE - Dynamic IoT Application Deployment
inferredcites →https://doi.org/10.1109/mobserv.2015.52openalex-snapshot
Smart Fabric - An Infrastructure-Agnostic Artifact Topology Deployment Framework
inferredcites →https://doi.org/10.1109/soca.2013.12openalex-snapshot
Towards Automated IoT Application Deployment by a Cloud-Based Approach
inferredcites →https://doi.org/10.1109/sose.2014.9openalex-snapshot
MADCAT: A Methodology for Architecture and Deployment of Cloud Application Topologies
inferredcites →https://doi.org/10.1109/sose.2015.23openalex-snapshot
LEONORE -- Large-Scale Provisioning of Resource-Constrained IoT Deployments
inferredcites →https://doi.org/10.1109/tii.2014.2300753openalex-snapshot
Internet of Things in Industries: A Survey
inferredcites →https://doi.org/10.1109/wimob.2013.6673354openalex-snapshot
Advanced service delivery to the Connected Car
inferredcites →https://doi.org/10.1145/2079353.2079355openalex-snapshot
INOX
inferredcites →https://doi.org/10.14778/1920841.1921063openalex-snapshot
Big data and cloud computing

What points at this work

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

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Reinforcement optimization for decentralized service placement policy in IoT‐centric fog environment
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Secure Ownership Transfer for Resource Constrained IoT Infrastructures
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Dynamic Ontology-Based Sensor Binding
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Building an IoT Ecosystem Framework
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Nomadic Applications Traveling in the Fog
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SCIoT: A Secure and sCalable End-to-End Management Framework for IoT Devices
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Model-based fleet deployment in the IoT–edge–cloud continuum
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Decentralized knowledge discovery using massive heterogenous data in Cognitive IoT
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Machine Learning Optimized Wireless Sensor Networks for IoT Data Management and Energy Efficiency
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Clustering-Driven Intelligent Trust Management Methodology for the Internet of Things (CITM-IoT)
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Blockchain-based decentralized content trust for docker images
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Knowledge Diffusion of the Internet of Things (IoT): A Main Path Analysis
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Vehicular Fog Computing: A Survey of Architectures, Resource Management, Challenges and Emerging Trends
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A lightweight decentralized service placement policy for performance optimization in fog computing
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Incorporating device category into QoS traffic management policy using Monte Carlo control in IoT gateways
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Distributed Intelligence in the Internet of Things: Challenges and Opportunities
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UdN: A Bio-Inspired Data Network for Significant Pattern Extraction in Cognitive Internet of Things
inferred← citeshttps://doi.org/10.1016/j.aei.2016.11.003openalex-snapshot
Platform as a service gateway for the Fog of Things
inferred← citeshttps://doi.org/10.1016/j.comnet.2023.110134openalex-snapshot
Unlocking QoS Potential: Integrating IoT services and Monte Carlo Control for heterogeneous IoT device management in gateways
inferred← citeshttps://doi.org/10.1016/j.future.2019.02.056openalex-snapshot
Evaluation and efficiency comparison of evolutionary algorithms for service placement optimization in fog architectures
inferred← citeshttps://doi.org/10.1016/j.future.2026.108561openalex-snapshot
A digital twin architecture for the provisioning of heterogeneous IoT devices
inferred← citeshttps://doi.org/10.1016/j.iot.2019.01.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.iot.2020.100262openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jpdc.2022.12.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2019.2913224openalex-snapshot
A Data-Centric Internet of Things Framework Based on Azure Cloud
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Hot Patching Hot Fixes: Reflection and Perspectives
inferred← citeshttps://doi.org/10.1109/cicn49253.2020.9242553openalex-snapshot
Design and Implementation of Fault Tolerance Technique for Internet of Things (IoT)
inferred← citeshttps://doi.org/10.1109/cloudcom.2017.35openalex-snapshot
PATH2iot: A Holistic, Distributed Stream Processing System
inferred← citeshttps://doi.org/10.1109/cloudnet.2018.8549500openalex-snapshot
LL-MEC: Enabling Low Latency Edge Applications
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Toward positioning IoT-empowered service engineering in city platform as a service
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Towards QoS-Aware Fog Service Placement
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Exploiting interoperable microservices in web objects enabled Internet of Things
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Achieving Quality of Service and Traffic Equilibrium in Software-Defined IoT Networks
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Deploying Edge Computing Nodes for Large-Scale IoT: A Diversity Aware Approach
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Availability-Aware Service Placement Policy in Fog Computing Based on Graph Partitions
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Load-Balanced and QoS-Aware Software-Defined Internet of Things
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Autonomous IoT Device Management Systems: Structured Review and Generalized Cognitive Model
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Location-Aware, Context-Driven QoS for IoT Applications
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Multiobjective Deployment of Data Analysis Operations in Heterogeneous IoT Infrastructure
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