On the public citation graph

Supporting Internet-of-Things Analytics in a Fog Computing Platform

0 signed · 68 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1109/cloudcom.2016.0029openalex-snapshot
A Pub/Sub-Based Fog Computing Architecture for Internet-of-Vehicles
inferredcites →https://doi.org/10.1109/cloudcom.2016.0060openalex-snapshot
Animation Rendering on Multimedia Fog Computing Platforms
inferredcites →https://doi.org/10.1109/cloudcom.2016.0082openalex-snapshot
Cloud4IoT: A Heterogeneous, Distributed and Autonomic Cloud Platform for the IoT
inferredcites →https://doi.org/10.1109/ficloud.2015.35openalex-snapshot
Containers and Clusters for Edge Cloud Architectures -- A Technology Review
inferredcites →https://doi.org/10.1109/icde.2006.105openalex-snapshot
Network-Aware Operator Placement for Stream-Processing Systems
inferredcites →https://doi.org/10.1109/infocom.2016.7524433openalex-snapshot
Task allocation for distributed stream processing
inferredcites →https://doi.org/10.1109/iot.2015.7356560openalex-snapshot
Developing IoT applications in the Fog: A Distributed Dataflow approach
inferredcites →https://doi.org/10.1109/mcom.2015.7355581openalex-snapshot
SCALE: Safe community awareness and alerting leveraging the internet of things
inferredcites →https://doi.org/10.1109/smartcomp.2016.7501722openalex-snapshot
The Scale2 Multi-Network Architecture for IoT-Based Resilient Communities
inferredcites →https://doi.org/10.1109/tc.2016.2584061openalex-snapshot
ADDSEN: Adaptive Data Processing and Dissemination for Drone Swarms in Urban Sensing
inferredcites →https://doi.org/10.1109/tmc.2012.117openalex-snapshot
On Power and Throughput Tradeoffs of WiFi and Bluetooth in Smartphones
inferredcites →https://doi.org/10.1109/w-ficloud.2016.36openalex-snapshot
A Container-Based Edge Cloud PaaS Architecture Based on Raspberry Pi Clusters
inferredcites →https://doi.org/10.1145/1807167.1807184openalex-snapshot
Pregel
inferredcites →https://doi.org/10.1145/2342509.2342513openalex-snapshot
Fog computing and its role in the internet of things
inferredcites →https://doi.org/10.1145/2465351.2465369openalex-snapshot
Mizan
inferredcites →https://doi.org/10.1145/2484838.2484843openalex-snapshot
GPS
inferredcites →https://doi.org/10.1145/2528412openalex-snapshot
A catalog of stream processing optimizations
inferredcites →https://doi.org/10.1145/2675743.2776766openalex-snapshot
Distributed QoS-aware scheduling in storm
inferredcites →https://doi.org/10.1145/2933267.2933312openalex-snapshot
Optimal operator placement for distributed stream processing applications
inferredcites →https://doi.org/10.1145/2933267.2933317openalex-snapshot
Incremental deployment and migration of geo-distributed situation awareness applications in the fog
inferredcites →https://doi.org/10.1145/3007748.3007777openalex-snapshot
Feasibility of Fog Computing Deployment based on Docker Containerization over RaspberryPi

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-24296-1_5openalex-snapshot
Fog Based IIoT Architecture Based on Big Data Analytics for 5G-networked Smart Factory
inferred← citeshttps://doi.org/10.1007/978-3-030-58802-1_44openalex-snapshot
Air Pollution Measurement Platform Based on LoRa and Blockchain for Industrial IoT Applications
inferred← citeshttps://doi.org/10.1007/978-3-032-05291-9_12openalex-snapshot
Experiences with Composability for Resilient IoT Systems
inferred← citeshttps://doi.org/10.1007/s11227-021-03941-yopenalex-snapshot
A survey on computation offloading and service placement in fog computing-based IoT
inferred← citeshttps://doi.org/10.1007/s11227-024-06450-wopenalex-snapshot
A container optimal matching deployment algorithm based on CN-Graph for mobile edge computing
inferred← citeshttps://doi.org/10.1007/s42979-021-00521-yopenalex-snapshot
Software-Defined Dew, Roof, Fog and Cloud (SD-DRFC) Framework for IoT Ecosystem: The Journey, Novel Framework Architecture, Simulation, and Use Cases
inferred← citeshttps://doi.org/10.1007/s44327-024-00002-wopenalex-snapshot
IoT-enabled smart cities: a hybrid systematic analysis of key research areas, challenges, and recommendations for future direction
inferred← citeshttps://doi.org/10.1016/j.future.2018.08.040openalex-snapshot
IoT big data analytics for smart homes with fog and cloud computing
inferred← citeshttps://doi.org/10.1016/j.future.2021.01.026openalex-snapshot
JOI: Joint placement of IoT analytics operators and pub/sub message brokers in fog-centric IoT platforms
inferred← citeshttps://doi.org/10.1016/j.pmcj.2021.101459openalex-snapshot
REAM: A Framework for Resource Efficient Adaptive Monitoring of Community Spaces
inferred← citeshttps://doi.org/10.1016/j.procs.2019.08.105openalex-snapshot
A Novel Architecture of Air Pollution Measurement Platform Using 5G and Blockchain for Industrial IoT Applications
inferred← citeshttps://doi.org/10.1016/j.simpat.2020.102136openalex-snapshot
From the edge to the cloud: A continuous delivery and preparation model for processing big IoT data
inferred← citeshttps://doi.org/10.1016/j.sna.2018.01.038openalex-snapshot
Internet of things (IoT); internet of everything (IoE); tactile internet; 5G – A (not so evanescent) unifying vision empowered by EH-MEMS (energy harvesting MEMS) and RF-MEMS (radio frequency MEMS)
inferred← citeshttps://doi.org/10.1016/j.sysarc.2018.11.002openalex-snapshot
An adaptive IoT platform on budgeted 3G data plans
inferred← citeshttps://doi.org/10.1016/j.sysarc.2019.02.009openalex-snapshot
All one needs to know about fog computing and related edge computing paradigms: A complete survey
inferred← citeshttps://doi.org/10.1109/access.2026.3720994openalex-snapshot
Intelligent Self-Optimization for Edge and IoT Storage Platforms
inferred← citeshttps://doi.org/10.1109/cloudcom.2017.53openalex-snapshot
From Cloud Computing to Fog Computing: Unleash the Power of Edge and End Devices
inferred← citeshttps://doi.org/10.1109/cloudcom.2019.00042openalex-snapshot
SocialEdge: Enabling Trusted Data Processing Workflow in Smart Communities
inferred← citeshttps://doi.org/10.1109/csnt69054.2026.11502111openalex-snapshot
A Deployment-Aware Feasibility Framework for Machine Learning-Based IoT Intrusion Detection Across Edge, Fog, and Cloud Architectures
inferred← citeshttps://doi.org/10.1109/datacom.2019.00049openalex-snapshot
Stream Processing of Software-Defined Video Analytics on a Smart Campus
inferred← citeshttps://doi.org/10.1109/fmec49853.2020.9144934openalex-snapshot
Latency-Aware Industrial Fog Application Orchestration with Kubernetes
inferred← citeshttps://doi.org/10.1109/globecom42002.2020.9348202openalex-snapshot
Image Download and Rate Allocation of Internet-of-Things Analytics at Gateways in Smart Cities
inferred← citeshttps://doi.org/10.1109/icc.2019.8762052openalex-snapshot
Load Aware Provisioning of IoT Services on Fog Computing Platform
inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10726096openalex-snapshot
SPFaaS: Service Provisioning and Request Scheduling in a Hierarchical Edge-Cloud System under Function-as-a-Service Framework
inferred← citeshttps://doi.org/10.1109/icds47004.2019.8942304openalex-snapshot
A Review On Relationship Between Iot– Cloud Computing – Fog Computing (Applications And Challenges)
inferred← citeshttps://doi.org/10.1109/icfc.2019.00021openalex-snapshot
Fog Application Allocation for Automation Systems
inferred← citeshttps://doi.org/10.1109/infocom.2018.8485869openalex-snapshot
Spatiotemporal Scheduling for Crowd Augmented Urban Sensing
inferred← citeshttps://doi.org/10.1109/isc246665.2019.9071674openalex-snapshot
From cloud computing to fog computing: two technologies to serve iot–a review-
inferred← citeshttps://doi.org/10.1109/iwcmc.2019.8766550openalex-snapshot
Emergent LBS: If GNSS Fails, How Can 5G-enabled Vehicles Get Locations Using Fogs?
inferred← citeshttps://doi.org/10.1109/noms.2018.8406133openalex-snapshot
Managed edge computing on Internet-of-Things devices for smart city applications
inferred← citeshttps://doi.org/10.1109/smartcomp50058.2020.00023openalex-snapshot
REAM: Resource Efficient Adaptive Monitoring of Community Spaces at the Edge Using Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/smartcomp61445.2024.00030openalex-snapshot
AMPHI: Adaptive Mission-Aware Microservices Provisioning in Heterogeneous IoT Settings
inferred← citeshttps://doi.org/10.1109/trustcom63139.2024.00101openalex-snapshot
ClusterX: Adaptive Collaborative Scheduling of Layered User-Proxy Mapping to Enhance DDoS Defense in Distributed Clusters
inferred← citeshttps://doi.org/10.1109/tvt.2021.3116811openalex-snapshot
Efficient RSU Selection Scheme for Fog-Based Vehicular Software-Defined Network
inferred← citeshttps://doi.org/10.1145/3366612.3368122openalex-snapshot
Adaptive Mediation for Data Exchange in IoT Systems
inferred← citeshttps://doi.org/10.1145/3378679.3394538openalex-snapshot
On the impact of clustering for IoT analytics and message broker placement across cloud and edge
inferred← citeshttps://doi.org/10.1145/3474124.3474143openalex-snapshot
Platforms for Edge Computing and Internet of Things applications: A survey
inferred← citeshttps://doi.org/10.1145/3494322.3494331openalex-snapshot
HYDRO: Hybrid Orchestration of In-Network Computations for the Internet of Things
inferred← citeshttps://doi.org/10.1155/2024/7724783openalex-snapshot
Interoperability Structure of Smart Water Conservancy Based on Internet of Things
inferred← citeshttps://doi.org/10.1186/s40537-020-00372-zopenalex-snapshot
Utilizing technologies of fog computing in educational IoT systems: privacy, security, and agility perspective
inferred← citeshttps://doi.org/10.21203/rs.3.rs-821834/v1openalex-snapshot
Quantum ant colony-based mobile-aware service deployment in SDN-based multi- access edge computing environments
inferred← citeshttps://doi.org/10.3389/fcpxs.2026.1812652openalex-snapshot
Towards community-scale resilience via repurposable computing continuum infrastructures
inferred← citeshttps://doi.org/10.3390/iot5040035openalex-snapshot
An Allele Based-Approach for Internet of Transactional Things Service Placement in Intelligent Edge Environments
inferred← citeshttps://doi.org/10.36227/techrxiv.14151650openalex-snapshot
A Containerized Approach for Allocating Distributed Stream Queries to Fog Nodes
inferred← citeshttps://doi.org/10.36227/techrxiv.14151650.v1openalex-snapshot
A Containerized Approach for Allocating Distributed Stream Queries to Fog Nodes
inferred← citeshttps://doi.org/10.48550/arxiv.1912.06567openalex-snapshot
Challenges in designing edge-based middlewares for the Internet of Things: A survey
inferred← citeshttps://doi.org/10.70675/b9448b30z2deaz4cb9z8ea8z0b5ccd3e535eopenalex-snapshot
IoT Orchestration in the Fog
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.