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A Comprehensive Survey on Resource Allocation Strategies in Fog/Cloud Environments

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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

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Cyber Resilience of Systems and Networks

inferredcites →https://doi.org/10.1007/s10723-020-09507-1openalex-snapshot

Workload Allocation in IoT-Fog-Cloud Architecture Using a Multi-Objective Genetic Algorithm

inferredcites →https://doi.org/10.1007/s11042-018-7051-9openalex-snapshot

A hybrid approach to scheduling real-time IoT workflows in fog and cloud environments

inferredcites →https://doi.org/10.1007/s11761-017-0219-8openalex-snapshot

Optimized IoT service placement in the fog

inferredcites →https://doi.org/10.1007/s12083-019-00783-7openalex-snapshot

Energy and time efficient task offloading and resource allocation on the generic IoT-fog-cloud architecture

inferredcites →https://doi.org/10.1007/s12243-016-0524-9openalex-snapshot

Service placement for latency reduction in the internet of things

inferredcites →https://doi.org/10.1007/s12652-018-0914-0openalex-snapshot

A lightweight decentralized service placement policy for performance optimization in fog computing

inferredcites →https://doi.org/10.1016/j.comnet.2010.03.005openalex-snapshot

Resilience and survivability in communication networks: Strategies, principles, and survey of disciplines

inferredcites →https://doi.org/10.1016/j.comnet.2018.07.020openalex-snapshot

IoT survey: An SDN and fog computing perspective

inferredcites →https://doi.org/10.1016/j.compeleceng.2016.09.015openalex-snapshot

DMP-IOT: A distributed movement prediction scheme for IOT health-care applications

inferredcites →https://doi.org/10.1016/j.future.2018.12.062openalex-snapshot

Energy efficient task allocation and energy scheduling in green energy powered edge computing

inferredcites →https://doi.org/10.1016/j.jnca.2016.06.014openalex-snapshot

A survey on cloud federation architectures: Identifying functional and non-functional properties

inferredcites →https://doi.org/10.1016/j.jnca.2020.102784openalex-snapshot

Fog computing systems: State of the art, research issues and future trends, with a focus on resilience

inferredcites →https://doi.org/10.1016/j.peva.2015.06.013openalex-snapshot

Dynamic service migration and workload scheduling in edge-clouds

inferredcites →https://doi.org/10.1016/j.pmcj.2018.12.007openalex-snapshot

A survey on fog computing for the Internet of Things

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.2018.2882800openalex-snapshot

Decentralized Computation Offloading and Resource Allocation for Mobile-Edge Computing: A Matching Game Approach

inferredcites →https://doi.org/10.1109/access.2018.2884251openalex-snapshot

Topology-Aware Resource Allocation for IoT Services in Clouds

inferredcites →https://doi.org/10.1109/access.2018.2885821openalex-snapshot

Mobility Prediction: A Survey on State-of-the-Art Schemes and Future Applications

inferredcites →https://doi.org/10.1109/access.2019.2963051openalex-snapshot

Contract-Based Computing Resource Management via Deep Reinforcement Learning in Vehicular Fog Computing

inferredcites →https://doi.org/10.1109/access.2020.2965218openalex-snapshot

UCAA: User-Centric User Association and Resource Allocation in Fog Computing Networks

inferredcites →https://doi.org/10.1109/access.2020.3003249openalex-snapshot

IoT Application Placement Algorithm Based on Multi-Dimensional QoE Prioritization Model in Fog Computing Environment

inferredcites →https://doi.org/10.1109/camad.2018.8515003openalex-snapshot

Energy-Aware Placement for IoT-Service Function Chain

inferredcites →https://doi.org/10.1109/ccgrid.2017.84openalex-snapshot

Energy Efficient Algorithm for VNF Placement and Chaining

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/comst.2017.2782482openalex-snapshot

Distributed SDN Control: Survey, Taxonomy, and Challenges

inferredcites →https://doi.org/10.1109/eucnc.2017.7980666openalex-snapshot

Orchestration of Network Services across multiple operators: The 5G Exchange prototype

inferredcites →https://doi.org/10.1109/fmec.2018.8364057openalex-snapshot

Dynamic application deployment in federations of clouds and edge resources using a multiobjective optimization AI algorithm

inferredcites →https://doi.org/10.1109/hpcsim.2016.7568388openalex-snapshot

Elastic stateful stream processing in storm

inferredcites →https://doi.org/10.1109/icc.2015.7248934openalex-snapshot

Towards power consumption-delay tradeoff by workload allocation in cloud-fog computing

inferredcites →https://doi.org/10.1109/iccworkshops49005.2020.9145242openalex-snapshot

Latency Aware VNF Deployment at Edge Devices for IoT Services: An Artificial Neural Network Based Approach

inferredcites →https://doi.org/10.1109/icoin.2015.7057905openalex-snapshot

A proximal algorithm for joint resource allocation and minimizing carbon footprint in geo-distributed fog computing

inferredcites →https://doi.org/10.1109/infcomw.2019.8845184openalex-snapshot

Multi-domain non-cooperative VNF-FG embedding: A deep reinforcement learning approach

inferredcites →https://doi.org/10.1109/infocom.2019.8737480openalex-snapshot

Wireless and Computing Resource Allocation for Selfish Computation Offloading in Edge Computing

inferredcites →https://doi.org/10.1109/jiot.2017.2688925openalex-snapshot

Computing Resource Allocation in Three-Tier IoT Fog Networks: A Joint Optimization Approach Combining Stackelberg Game and Matching

inferredcites →https://doi.org/10.1109/jiot.2018.2811808openalex-snapshot

Optimal Placement of Cloudlets for Access Delay Minimization in SDN-Based Internet of Things Networks

inferredcites →https://doi.org/10.1109/jiot.2018.2875587openalex-snapshot

Green Large-Scale Fog Computing Resource Allocation Using Joint Benders Decomposition, Dinkelbach Algorithm, ADMM, and Branch-and-Bound

inferredcites →https://doi.org/10.1109/jiot.2018.2876198openalex-snapshot

Joint Task Assignment, Transmission, and Computing Resource Allocation in Multilayer Mobile Edge Computing Systems

inferredcites →https://doi.org/10.1109/jiot.2019.2945066openalex-snapshot

PORA: Predictive Offloading and Resource Allocation in Dynamic Fog Computing Systems

inferredcites →https://doi.org/10.1109/jiot.2019.2959124openalex-snapshot

Trust-Oriented IoT Service Placement for Smart Cities in Edge Computing

inferredcites →https://doi.org/10.1109/jiot.2019.2961707openalex-snapshot

Cooperative Computation Offloading and Resource Allocation for Blockchain-Enabled Mobile-Edge Computing: A Deep Reinforcement Learning Approach

inferredcites →https://doi.org/10.1109/jiot.2020.2965009openalex-snapshot

Multiattribute-Based Double Auction Toward Resource Allocation in Vehicular Fog Computing

inferredcites →https://doi.org/10.1109/jiot.2020.2966627openalex-snapshot

Three Dynamic Pricing Schemes for Resource Allocation of Edge Computing for IoT Environment

inferredcites →https://doi.org/10.1109/jiot.2020.2996213openalex-snapshot

Resource Allocation for Vehicular Fog Computing Using Reinforcement Learning Combined With Heuristic Information

inferredcites →https://doi.org/10.1109/jiot.2020.3026589openalex-snapshot

When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network

inferredcites →https://doi.org/10.1109/jiot.2020.3035437openalex-snapshot

Blockchain-Based Edge Computing Resource Allocation in IoT: A Deep Reinforcement Learning Approach

inferredcites →https://doi.org/10.1109/jproc.2019.2922285openalex-snapshot

Computation Offloading Toward Edge Computing

inferredcites →https://doi.org/10.1109/jsac.2017.2760478openalex-snapshot

The Extended Cloud: Review and Analysis of Mobile Edge Computing and Fog From a Security and Resilience Perspective

inferredcites →https://doi.org/10.1109/jsac.2018.2869954openalex-snapshot

Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing

inferredcites →https://doi.org/10.1109/jsac.2019.2906790openalex-snapshot

Application Component Placement in NFV-Based Hybrid Cloud/Fog Systems With Mobile Fog Nodes

inferredcites →https://doi.org/10.1109/jsyst.2019.2921786openalex-snapshot

A New Scheme for IoT Service Function Chains Orchestration in SDN-IoT Network Systems

inferredcites →https://doi.org/10.1109/mcom.2017.1600896openalex-snapshot

A Hierarchical Game Framework for Resource Management in Fog Computing

inferredcites →https://doi.org/10.1109/mcom.2018.1701322openalex-snapshot

City of Things: Enabling Resource Provisioning in Smart Cities

inferredcites →https://doi.org/10.1109/mvt.2017.2667499openalex-snapshot

Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing

inferredcites →https://doi.org/10.1109/mwc.001.1800582openalex-snapshot

Task-Driven Resource Assignment in Mobile Edge Computing Exploiting Evolutionary Computation

inferredcites →https://doi.org/10.1109/mwc.001.1900077openalex-snapshot

Comparing Fog Solutions for Energy Efficiency in Wireless Networks: Challenges and Opportunities

inferredcites →https://doi.org/10.1109/nca.2019.8935033openalex-snapshot

Computation Task Assignment in Vehicular Fog Computing: A Learning Approach via Neighbor Advice

inferredcites →https://doi.org/10.1109/netsoft.2019.8806671openalex-snapshot

Towards Network-Aware Resource Provisioning in Kubernetes for Fog Computing Applications

inferredcites →https://doi.org/10.1109/smartcomp.2017.7947010openalex-snapshot

Fog Computing for the Internet of Mobile Things: Issues and Challenges

inferredcites →https://doi.org/10.1109/surv.2013.013013.00155openalex-snapshot

Virtual Network Embedding: A Survey

inferredcites →https://doi.org/10.1109/tcomm.2020.3022692openalex-snapshot

Virtual Service Placement for Edge Computing Under Finite Memory and Bandwidth

inferredcites →https://doi.org/10.1109/tetc.2019.2902661openalex-snapshot

Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach

inferredcites →https://doi.org/10.1109/tii.2019.2902574openalex-snapshot

Fog Computing for 5G Tactile Industrial Internet of Things: QoE-Aware Resource Allocation Model

inferredcites →https://doi.org/10.1109/tits.2020.3048844openalex-snapshot

Resource Allocation in 5G IoV Architecture Based on SDN and Fog-Cloud Computing

inferredcites →https://doi.org/10.1109/tmc.2018.2867520openalex-snapshot

MOERA: Mobility-Agnostic Online Resource Allocation for Edge Computing

inferredcites →https://doi.org/10.1109/tnsm.2016.2598420openalex-snapshot

Resource Allocation in NFV: A Comprehensive Survey

inferredcites →https://doi.org/10.1109/tnsm.2017.2730199openalex-snapshot

On the Placement of VNF Managers in Large-Scale and Distributed NFV Systems

inferredcites →https://doi.org/10.1109/tnsm.2019.2894955openalex-snapshot

Optimized Provisioning of Edge Computing Resources With Heterogeneous Workload in IoT Networks

inferredcites →https://doi.org/10.1109/tnsm.2019.2948137openalex-snapshot

Placement and Chaining for Run-Time IoT Service Deployment in Edge-Cloud

inferredcites →https://doi.org/10.1109/tnsm.2019.2963643openalex-snapshot

Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment

inferredcites →https://doi.org/10.1109/tsc.2018.2827070openalex-snapshot

Migration Modeling and Learning Algorithms for Containers in Fog Computing

inferredcites →https://doi.org/10.1109/tvt.2019.2917890openalex-snapshot

Computation Offloading and Resource Allocation For Cloud Assisted Mobile Edge Computing in Vehicular Networks

inferredcites →https://doi.org/10.1109/tvt.2019.2935450openalex-snapshot

Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks

inferredcites →https://doi.org/10.1109/twc.2017.2703901openalex-snapshot

Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing

inferredcites →https://doi.org/10.1109/waina.2016.152openalex-snapshot

Characterizing Cloud Federation in IoT

inferredcites →https://doi.org/10.1145/2788397openalex-snapshot

Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches

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/10.1145/3057266openalex-snapshot

Fog Computing for Sustainable Smart Cities

inferredcites →https://doi.org/10.1145/3132211.3134454openalex-snapshot

Efficient placement of multi-component applications in edge computing systems

inferredcites →https://doi.org/10.1145/3132479.3132490openalex-snapshot

Elastic urban video surveillance system using edge computing

inferredcites →https://doi.org/10.1145/3292499openalex-snapshot

Trust Evaluation in Cross-Cloud Federation

inferredcites →https://doi.org/10.1145/3292674openalex-snapshot

A Survey of Communication Protocols for Internet of Things and Related Challenges of Fog and Cloud Computing Integration

inferredcites →https://doi.org/10.1145/3347514openalex-snapshot

An Incentive Mechanism for Crowdsourcing Systems with Network Effects

inferredcites →https://doi.org/10.1145/3362031openalex-snapshot

A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms

inferredcites →https://doi.org/10.1145/3391196openalex-snapshot

An Overview of Service Placement Problem in Fog and Edge Computing

inferredcites →https://doi.org/10.1177/1550147717742073openalex-snapshot

A cost- and performance-effective approach for task scheduling based on collaboration between cloud and fog computing

inferredcites →https://doi.org/10.1177/1550147719837859openalex-snapshot

Joint communication and computing resource allocation in vehicular edge computing

inferredcites →https://doi.org/10.1186/s13677-020-00180-zopenalex-snapshot

Near real-time optimization of fog service placement for responsive edge computing

inferredcites →https://doi.org/10.3390/s19030740openalex-snapshot

Joint Optimization for Task Offloading in Edge Computing: An Evolutionary Game Approach

inferredcites →https://doi.org/10.3390/s19132954openalex-snapshot

A Micro-Level Compensation-Based Cost Model for Resource Allocation in a Fog Environment

inferredcites →https://doi.org/10.3390/s23073492openalex-snapshot

Simulation Tools for Fog Computing: A Comparative Analysis

What points at this work

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

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Hybrid Clustering Approach Using K-Means, SOM, and DDC for User Mobility Management in Fog Environments

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Security-aware Resource Allocation for Fog Computing Using MDP

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A Framework for Cloud-Based Privacy-Preserving Using Dynamic Resource Distribution in Information Retrieval

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Communication-Aware Fog Device Deployment in Edge-Fog-Cloud Systems Using Jaya Algorithm

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An IoT-based bag-of-tasks scheduling framework for deadline-sensitive applications in fog-cloud environment

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Resource allocation in fog computing: a survey on current state and research challenges

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A systematic literature review for load balancing and task scheduling techniques in cloud computing

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Priority-based and energy-aware incentive mechanism for IoT task offloading in a fog environment

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Genetic-Based Algorithm for Task Scheduling in Fog–Cloud Environment

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DD-SPP: Dynamic and Distributed Service Placement Policy for Optimal Scheduling in Fog-Edge Computing

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Energy-Efficient Task Scheduling in Cloud Computing with EcoTaskOpt: A Hybrid Ant Colony and Particle Swarm Optimization Approach

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Artificial intelligence-enabled frameworks for fog computing and the internet of things

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