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An adaptive model for resource selection and allocation in fog computing environment
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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/s10723-017-9396-0openalex-snapshot
Design and Comparative Analysis of MCDM-based Multi-dimensional Trust Evaluation Schemes for Determining Trustworthiness of Cloud Service Providers
inferredcites →https://doi.org/10.1016/0167-9236(94)90048-5openalex-snapshot
PROMCALC & GAIA: a new decision support system for multicriteria decision aid
inferredcites →https://doi.org/10.1016/0377-2217(86)90044-5openalex-snapshot
How to select and how to rank projects: The Promethee method
inferredcites →https://doi.org/10.1016/j.cor.2006.01.017openalex-snapshot
Using a hybrid multi-criteria decision aid method for information systems outsourcing
inferredcites →https://doi.org/10.1016/j.csi.2006.05.002openalex-snapshot
Using a multi-criteria decision making approach to evaluate mobile phone alternatives
inferredcites →https://doi.org/10.1016/j.ejor.2009.01.021openalex-snapshot
PROMETHEE: A comprehensive literature review on methodologies and applications
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.jpdc.2018.04.004openalex-snapshot
Response time optimization for cloudlets in Mobile Edge Computing
inferredcites →https://doi.org/10.1016/j.omega.2016.10.004openalex-snapshot
Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain
inferredcites →https://doi.org/10.1016/j.omega.2017.09.001openalex-snapshot
An extension of PROMETHEE to interval clustering
inferredcites →https://doi.org/10.1108/17506221011058696openalex-snapshot
Modified PROMETHEE approach for assessing energy technologies
inferredcites →https://doi.org/10.1109/access.2018.2848119openalex-snapshot
Fog Computing Approach for Mobility Support in Internet-of-Things Systems
inferredcites →https://doi.org/10.1109/jiot.2017.2709814openalex-snapshot
Resource Allocation Strategy in Fog Computing Based on Priced Timed Petri Nets
inferredcites →https://doi.org/10.1109/tcc.2016.2525984openalex-snapshot
Stochastic Load Balancing for Virtual Resource Management in Datacenters
inferredcites →https://doi.org/10.1109/tcomm.2017.2787700openalex-snapshot
Computation Offloading and Resource Allocation in Mixed Fog/Cloud Computing Systems With Min-Max Fairness Guarantee
inferredcites →https://doi.org/10.1109/tcss.2018.2871694openalex-snapshot
Fog Computing Approach for Music Cognition System Based on Machine Learning Algorithm
inferredcites →https://doi.org/10.1109/tii.2018.2791619openalex-snapshot
Sustainable Service Allocation Using a Metaheuristic Technique in a Fog Server for Industrial Applications
inferredcites →https://doi.org/10.1109/tii.2018.2851241openalex-snapshot
Tasks Scheduling and Resource Allocation in Fog Computing Based on Containers for Smart Manufacturing
inferredcites →https://doi.org/10.1109/tr.2017.2754642openalex-snapshot
Failure Mode and Effect Analysis Using Cloud Model Theory and PROMETHEE Method
inferredcites →https://doi.org/10.1155/2019/7864094openalex-snapshot
A Novel Fog Computing Based Architecture to Improve the Performance in Content Delivery Networks
inferredcites →https://doi.org/10.1186/s13677-018-0106-7openalex-snapshot
Decision making in cloud environments: an approach based on multiple-criteria decision analysis and stochastic models
inferredcites →https://doi.org/10.1287/mnsc.31.6.647openalex-snapshot
Note—A Preference Ranking Organisation Method
inferredcites →https://doi.org/10.14456/mijst.2013.34openalex-snapshot
Modified approach to PROMETHEE for multi-criteria decision-making
inferredcites →https://doi.org/10.1504/ijids.2008.020051openalex-snapshot
Applying Multiple-Criteria Decision Making methods for developing Information Technology industry
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Fuzzy Logic Trust-Based Fog Node Selection
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Resource allocation in fog computing: a survey on current state and research challenges
inferred← citeshttps://doi.org/10.1007/s11227-023-05832-wopenalex-snapshot
HCDQN-ORA: a novel hybrid clustering and deep Q-network technique for dynamic user location-based optimal resource allocation in a fog environment
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110393openalex-snapshot
An integrated Fuzzy-BWM, Fuzzy-LBWA and V-Fuzzy-CoCoSo-LD model for gateway selection in fog-bolstered Internet of Things
inferred← citeshttps://doi.org/10.1016/j.cie.2023.109075openalex-snapshot
Application of MADM methods in Industry 4.0: A literature review
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2019.06.005openalex-snapshot
Introduction to the Special Section on Secure and Scalable Fog/Edge Computing
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Blockchain-driven parking reservation and recommendation system for shared spaces using multi-criteria decision-making with user feedback integration
inferred← citeshttps://doi.org/10.1016/j.future.2022.04.034openalex-snapshot
Fog node discovery and selection: A Systematic literature review
inferred← citeshttps://doi.org/10.1016/j.iot.2024.101293openalex-snapshot
Fuzzy logic trust-based fog node selection
inferred← citeshttps://doi.org/10.1016/j.jpdc.2023.104760openalex-snapshot
HeRAFC: Heuristic resource allocation and optimization in MultiFog-Cloud environment
inferred← citeshttps://doi.org/10.1016/j.simpat.2025.103096openalex-snapshot
B2RAM: Design and practical implementation of a secured information management framework for dynamic resource allocation using a novel 2-Tier blockchain model
inferred← citeshttps://doi.org/10.1049/iet-com.2019.1234openalex-snapshot
Best fit power weighted difference method for fog node selection in smart cities
inferred← citeshttps://doi.org/10.1109/databia50434.2020.9190326openalex-snapshot
Forecasting Acceleration of Data Transfer with Fog Computing for Resource Efficiency in Data Centers
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A Comparative Analysis of MCDM Methods for Efficient Multi-Objective Task Scheduling in Cloud Computing
inferred← citeshttps://doi.org/10.1109/ispcc53510.2021.9609479openalex-snapshot
QoE-based Resource Management of Applications in the Fog Computing Environment using AHP Technique
inferred← citeshttps://doi.org/10.1109/ocit53463.2021.00082openalex-snapshot
Review on Authentication Schemes for Device Security in LoRaWAN
inferred← citeshttps://doi.org/10.1109/ocit65031.2024.00137openalex-snapshot
Task Scheduling in Cloud Computing: A Comparative Study of Algorithms
inferred← citeshttps://doi.org/10.1109/ocit66168.2025.11400247openalex-snapshot
Lightweight RTOS for Safety-Critical Smart Mobility and Healthcare Applications
inferred← citeshttps://doi.org/10.1109/sceecs64059.2025.10940161openalex-snapshot
Fog Node Selection and Task Scheduling in Fog Computing Environment: A Review
inferred← citeshttps://doi.org/10.1109/sceecs68810.2026.11429990openalex-snapshot
QoS-Driven Trust-Aware Fog Node Selection Using Fuzzy-Based Framework
inferred← citeshttps://doi.org/10.1109/ucc63386.2024.00011openalex-snapshot
A Cost-Efficient Resource Allocation for Fog Computing with Users and Providers Perspective
inferred← citeshttps://doi.org/10.1145/3586181openalex-snapshot
Computational Resource Allocation in Fog Computing: A Comprehensive Survey
inferred← citeshttps://doi.org/10.2139/ssrn.4862750openalex-snapshot
Fuzzy Logic Trust-Based Fog Node Selection
inferred← citeshttps://doi.org/10.3390/sym13091713openalex-snapshot
A Comparative Analysis of Multi-Criteria Decision-Making Methods for Resource Selection in Mobile Crowd Computing
inferred← citeshttps://doi.org/10.3897/jucs.90429openalex-snapshot
Cost-Effective Scheduling in Fog Computing: An Environment Based on Modified PROMETHEE Technique
inferred← citeshttps://doi.org/10.4018/ijitwe.297969openalex-snapshot
Multi-Objective Optimization-Oriented Resource Allocation in the Fog Environment
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AI-Enabled Threat Detection in Blockchain-Based Systems
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