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Real‐time trust aware scheduling in fog‐cloud systems

https://doi.org/10.1002/cpe.7680
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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/10.1002/spe.995openalex-snapshot
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
inferredcites →https://doi.org/10.1007/11807964_76openalex-snapshot
Predictability of Least Laxity First Scheduling Algorithm on Multiprocessor Real-Time Systems
inferredcites →https://doi.org/10.1016/j.future.2016.11.009openalex-snapshot
Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges
inferredcites →https://doi.org/10.1016/j.iot.2018.09.005openalex-snapshot
The Internet of Things, Fog and Cloud continuum: Integration and challenges
inferredcites →https://doi.org/10.1016/j.jpdc.2011.01.007openalex-snapshot
A multi-dimensional trust evaluation model for large-scale P2P computing
inferredcites →https://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
inferredcites →https://doi.org/10.1109/access.2017.2733225openalex-snapshot
A Secure Trust Model Based on Fuzzy Logic in Vehicular Ad Hoc Networks With Fog Computing
inferredcites →https://doi.org/10.1109/access.2017.2786944openalex-snapshot
A Comprehensive Trust-Aware Routing Protocol With Multi-Attributes for WSNs
inferredcites →https://doi.org/10.1109/access.2018.2831898openalex-snapshot
A Reliable and Lightweight Trust Computing Mechanism for IoT Edge Devices Based on Multi-Source Feedback Information Fusion
inferredcites →https://doi.org/10.1109/access.2018.2866491openalex-snapshot
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions
inferredcites →https://doi.org/10.1109/access.2020.3005541openalex-snapshot
Blockchain and Trust for Secure, End-User-Based and Decentralized IoT Service Provision
inferredcites →https://doi.org/10.1109/ccgrid.2015.60openalex-snapshot
Statistical Characterization of Business-Critical Workloads Hosted in Cloud Datacenters
inferredcites →https://doi.org/10.1109/cluster.2012.35openalex-snapshot
Characterization and Comparison of Cloud versus Grid Workloads
inferredcites →https://doi.org/10.1109/comst.2017.2771153openalex-snapshot
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
inferredcites →https://doi.org/10.1109/ficloud.2018.00055openalex-snapshot
PASHE: Privacy Aware Scheduling in a Heterogeneous Fog Environment
inferredcites →https://doi.org/10.1109/icct.2017.8359777openalex-snapshot
Trust computation model based on improved Bayesian for wireless sensor networks
inferredcites →https://doi.org/10.1109/icfec.2017.12openalex-snapshot
Towards QoS-Aware Fog Service Placement
inferredcites →https://doi.org/10.1109/jiot.2020.2981005openalex-snapshot
A Reliable Trust Computing Mechanism Based on Multisource Feedback and Fog Computing in Social Sensor Cloud
inferredcites →https://doi.org/10.1109/mc.2010.98openalex-snapshot
Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?
inferredcites →https://doi.org/10.1109/mic.2017.17openalex-snapshot
IIoTEED: An Enhanced, Trusted Execution Environment for Industrial IoT Edge Devices
inferredcites →https://doi.org/10.1109/mprv.2009.82openalex-snapshot
The Case for VM-Based Cloudlets in Mobile Computing
inferredcites →https://doi.org/10.1109/ptp.2003.1231515openalex-snapshot
Trust and reputation model in peer-to-peer networks
inferredcites →https://doi.org/10.1109/tcc.2014.2328578openalex-snapshot
SelCSP: A Framework to Facilitate Selection of Cloud Service Providers
inferredcites →https://doi.org/10.1109/tcc.2017.2732344openalex-snapshot
Predicting Workflow Task Execution Time in the Cloud Using A Two-Stage Machine Learning Approach
inferredcites →https://doi.org/10.1109/tetc.2019.2957394openalex-snapshot
Trustee: A Trust Management System for Fog-Enabled Cyber Physical Systems
inferredcites →https://doi.org/10.1109/tifs.2018.2812166openalex-snapshot
A Domain Partition-Based Trust Model for Unreliable Clouds
inferredcites →https://doi.org/10.1109/tii.2019.2920277openalex-snapshot
Energy-Efficient and Trustworthy Data Collection Protocol Based on Mobile Fog Computing in Internet of Things
inferredcites →https://doi.org/10.1109/tmc.2020.3017079openalex-snapshot
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/tnnls.2015.2466612openalex-snapshot
A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility
inferredcites →https://doi.org/10.1109/tpds.2012.337openalex-snapshot
Enabling Dynamic Data and Indirect Mutual Trust for Cloud Computing Storage Systems
inferredcites →https://doi.org/10.1109/tpds.2015.2408613openalex-snapshot
CloudArmor: Supporting Reputation-Based Trust Management for Cloud Services
inferredcites →https://doi.org/10.1109/tpds.2018.2841915openalex-snapshot
An Efficient and Fair Multi-Resource Allocation Mechanism for Heterogeneous Servers
inferredcites →https://doi.org/10.1109/trustcom.2011.112openalex-snapshot
STrust: A Trust Model for Social Networks
inferredcites →https://doi.org/10.1109/tsc.2014.2365797openalex-snapshot
Trust Management for SOA-Based IoT and Its Application to Service Composition
inferredcites →https://doi.org/10.1109/tsc.2016.2549019openalex-snapshot
Towards Trustworthy Multi-Cloud Services Communities: A Trust-Based Hedonic Coalitional Game
inferredcites →https://doi.org/10.1109/tsc.2019.2914649openalex-snapshot
Scheduling Real-Time Security Aware Tasks in Fog Networks
inferredcites →https://doi.org/10.1109/tsusc.2018.2839623openalex-snapshot
Machine Learning Based Trust Computational Model for IoT Services
inferredcites →https://doi.org/10.1109/tvt.2020.3004047openalex-snapshot
T-Safe: Trustworthy Service Provisioning for IoT-Based Intelligent Transport Systems
inferredcites →https://doi.org/10.1145/3186592openalex-snapshot
Latency-Aware Application Module Management for Fog Computing Environments
inferredcites →https://doi.org/10.1155/2016/5052614openalex-snapshot
A Method for Trust Quantification in Cloud Computing Environments
inferredcites →https://doi.org/10.1186/s13673-019-0188-3openalex-snapshot
TACRM: trust access control and resource management mechanism in fog computing
inferredcites →https://doi.org/10.1628/093245607783242981openalex-snapshot
Building Social Trust: A Human-Capital Approach
inferredcites →https://doi.org/10.3724/sp.j.1001.2009.03554openalex-snapshot
Robust Feedback Credibility-Based Distributed P2P Trust Model

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s10586-024-04712-zopenalex-snapshot
An efficient deep reinforcement learning based task scheduler in cloud-fog environment
inferred← citeshttps://doi.org/10.1007/s11227-024-06271-xopenalex-snapshot
A trust management system for fog computing using improved genetic algorithm
inferred← citeshttps://doi.org/10.1007/s11227-025-07402-8openalex-snapshot
A collusion-resistant trust management system in fog computing
inferred← citeshttps://doi.org/10.1007/s11227-026-08756-3openalex-snapshot
Energy-efficient DAG scheduling based on duplication and slack-aware DVFS in heterogeneous fog–edge–cloud environments
inferred← citeshttps://doi.org/10.1016/j.future.2024.04.036openalex-snapshot
EleVMate — A data-driven approach for ‘on-the-fly’ horizontal small datacentre scalability and VM starvation
inferred← citeshttps://doi.org/10.1016/j.procs.2025.01.002openalex-snapshot
Energy and Security-Aware Task Scheduling in Fog Computing: A Comparative Analysis of Scheduling Algorithms using IoT
inferred← citeshttps://doi.org/10.1109/access.2024.3525261openalex-snapshot
Challenges and Opportunities in Fog Computing Scheduling: A Literature Review
inferred← citeshttps://doi.org/10.1109/cits61189.2024.10607989openalex-snapshot
Allocation and Scheduling of Linear Workflows Incorporating Security Constraints Across Fog and Cloud Infrastructures
inferred← citeshttps://doi.org/10.1186/s13677-026-00936-zopenalex-snapshot
A systematic review of security-aware task scheduling in cloud, fog, and edge computing
inferred← citeshttps://doi.org/10.1186/s44147-024-00471-1openalex-snapshot
Black widow optimization algorithm for efficient task assignment in cloud computing
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.01407114openalex-snapshot
Optimal Scheduling using Advanced Cat Swarm Optimization Algorithm to Improve Performance in Fog Computing
inferred← citeshttps://doi.org/10.21203/rs.3.rs-8166117/v1openalex-snapshot
Energy Efficient DAG Scheduling based on Duplication and Slack Aware DVFS in heterogeneous Fog-Edge-Cloud Environments
inferred← citeshttps://doi.org/10.2174/0126662558283303250103030013openalex-snapshot
A Study on Privacy Preserving Techniques in Fog Computing: Issues, Challenges, and Solutions
inferred← citeshttps://doi.org/10.23919/indiacom61295.2024.10498990openalex-snapshot
Task Scheduling Symphony: Reinforcement Learning for Fog Computing
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