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Quality attributes in edge computing for the Internet of Things: A systematic mapping study

https://doi.org/10.1016/j.iot.2020.100346

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What this work says

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

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IoT/cloud‐enabled smart services: A review on QoS requirements in fog environment and a proposed approach based on priority classification technique

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Energy‐efficient fuzzy logic‐based cross‐layer hierarchical routing protocol for wireless Internet‐of‐Things sensor networks

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CloudAware: Empowering context‐aware self‐adaptation for mobile applications

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EdgeCloudSim: An environment for performance evaluation of edge computing systems

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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IoT Architectural Styles

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Big Data and the Internet of Things in Edge Computing for Smart City

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Fog Computing: A Platform for Internet of Things and Analytics

inferredcites →https://doi.org/10.1007/978-3-662-55696-2_2openalex-snapshot

Performance Analysis of Object Store Systems in a Fog and Edge Computing Infrastructure

inferredcites →https://doi.org/10.1007/978-981-13-1501-5_2openalex-snapshot

Mathematical Modeling of QoS-Aware Fog Computing Architecture for IoT Services

inferredcites →https://doi.org/10.1007/s00766-005-0021-6openalex-snapshot

Requirements engineering paper classification and evaluation criteria: a proposal and a discussion

inferredcites →https://doi.org/10.1007/s10586-017-1630-9openalex-snapshot

Edge cloud computing service composition based on modified bird swarm optimization in the internet of things

inferredcites →https://doi.org/10.1007/s10723-019-09491-1openalex-snapshot

Resource Management Approaches in Fog Computing: a Comprehensive Review

inferredcites →https://doi.org/10.1007/s11227-017-2083-xopenalex-snapshot

Efficient and dynamic scaling of fog nodes for IoT devices

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

Optimized IoT service placement in the fog

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Internet of things: Vision, applications and research challenges

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System modelling and performance evaluation of a three-tier Cloud of Things

inferredcites →https://doi.org/10.1016/j.future.2017.01.024openalex-snapshot

Privacy-preserving deduplication of encrypted data with dynamic ownership management in fog computing

inferredcites →https://doi.org/10.1016/j.future.2018.06.009openalex-snapshot

Taming the IoT data deluge: An innovative information-centric service model for fog computing applications

inferredcites →https://doi.org/10.1016/j.future.2019.03.022openalex-snapshot

K-LZF : An efficient and fair scheduling for Edge Computing servers

inferredcites →https://doi.org/10.1016/j.infsof.2015.03.007openalex-snapshot

Guidelines for conducting systematic mapping studies in software engineering: An update

inferredcites →https://doi.org/10.1016/j.jnca.2018.11.011openalex-snapshot

Network selection criterion for ubiquitous communication provisioning in smart cities for smart energy system

inferredcites →https://doi.org/10.1016/j.jpdc.2019.01.004openalex-snapshot

Publish/subscribe based multi-tier edge computational model in Internet of Things for latency reduction

inferredcites →https://doi.org/10.1016/j.jss.2013.04.076openalex-snapshot

On the reliability of mapping studies in software engineering

inferredcites →https://doi.org/10.1016/j.jss.2017.05.125openalex-snapshot

Quality of service approaches in IoT: A systematic mapping

inferredcites →https://doi.org/10.1016/j.procs.2018.07.192openalex-snapshot

Multi Criteria Decision Making (MCDM) based Spectrum Moderator for Fog-Assisted Internet of Things

inferredcites →https://doi.org/10.1016/j.simpat.2019.102031openalex-snapshot

Deep recurrent neural network for IoT intrusion detection system

inferredcites →https://doi.org/10.1016/j.suscom.2019.100355openalex-snapshot

A novel four-tier architecture for delay aware scheduling and load balancing in fog environment

inferredcites →https://doi.org/10.1016/j.sysarc.2016.06.008openalex-snapshot

IOTSim: A simulator for analysing IoT applications

inferredcites →https://doi.org/10.1080/1206212x.2018.1517440openalex-snapshot

Towards complex dynamic fog network orchestration using embedded neural switch

inferredcites →https://doi.org/10.1088/1742-6596/1228/1/012008openalex-snapshot

Optimizing cloud health Care Data Transmissions using Fog

inferredcites →https://doi.org/10.1109/access.2017.2704444openalex-snapshot

Virtualization on Internet of Things Edge Devices With Container Technologies: A Performance Evaluation

inferredcites →https://doi.org/10.1109/access.2017.2778504openalex-snapshot

A Survey on the Edge Computing for the Internet of Things

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/access.2018.2876311openalex-snapshot

Wireless Body Area Network Mobility-Aware Task Offloading Scheme

inferredcites →https://doi.org/10.1109/access.2018.2877696openalex-snapshot

FogNetSim++: A Toolkit for Modeling and Simulation of Distributed Fog Environment

inferredcites →https://doi.org/10.1109/access.2019.2923203openalex-snapshot

SAHCI: Scheduling Approach for Heterogeneous Content-Centric IoT Applications

inferredcites →https://doi.org/10.1109/access.2019.2931362openalex-snapshot

A Mobile Edge Computing Model Enabling Efficient Computation Offload-Aware Energy Conservation

inferredcites →https://doi.org/10.1109/acomp.2018.00020openalex-snapshot

Studying and Developing a Resource Allocation Algorithm in Fog Computing

inferredcites →https://doi.org/10.1109/ase.2019.00115openalex-snapshot

FogWorkflowSim: An Automated Simulation Toolkit for Workflow Performance Evaluation in Fog Computing

inferredcites →https://doi.org/10.1109/bdcloud.2018.00122openalex-snapshot

Delay-Aware Resource Allocation for Data Analysis in Cloud-Edge System

inferredcites →https://doi.org/10.1109/bigdata.2017.8258505openalex-snapshot

Measures of network centricity for edge deployment of IoT applications

inferredcites →https://doi.org/10.1109/camad.2014.7033259openalex-snapshot

Key ingredients in an IoT recipe: Fog Computing, Cloud computing, and more Fog Computing

inferredcites →https://doi.org/10.1109/camad.2017.8031527openalex-snapshot

A fog-enabled IoT platform for efficient management and data collection

inferredcites →https://doi.org/10.1109/ccgrid.2019.00060openalex-snapshot

Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources

inferredcites →https://doi.org/10.1109/ccra.2018.8588117openalex-snapshot

Open Middleware proposal for IoT focused on Industry 4.0

inferredcites →https://doi.org/10.1109/cec.2019.8790305openalex-snapshot

A Deadline-Aware Estimation of Distribution Algorithm for Resource Scheduling in Fog Computing Systems

inferredcites →https://doi.org/10.1109/cloudcom.2017.53openalex-snapshot

From Cloud Computing to Fog Computing: Unleash the Power of Edge and End Devices

inferredcites →https://doi.org/10.1109/cloudcom2018.2018.00039openalex-snapshot

Offloading Execution from Edge to Cloud: A Dynamic Node-RED Based Approach

inferredcites →https://doi.org/10.1109/cloudtech.2018.8713355openalex-snapshot

Performance Evaluation of IoT-Fog-Cloud Deployment for Healthcare Services

inferredcites →https://doi.org/10.1109/comst.2017.2762345openalex-snapshot

Securing Fog Computing for Internet of Things Applications: Challenges and Solutions

inferredcites →https://doi.org/10.1109/dasc-picom-datacom-cyberscitec.2016.116openalex-snapshot

FOG-Engine: Towards Big Data Analytics in the Fog

inferredcites →https://doi.org/10.1109/empdp.2019.8671599openalex-snapshot

Mobile Edge as Part of the Multi-Cloud Ecosystem: A Performance Study

inferredcites →https://doi.org/10.1109/euc.2018.00008openalex-snapshot

Dynamic Allocation of Serverless Functions in IoT Environments

inferredcites →https://doi.org/10.1109/fmec.2017.7946430openalex-snapshot

Cognitive Edge Computing based resource allocation framework for Internet of Things

inferredcites →https://doi.org/10.1109/fwc.2017.8368525openalex-snapshot

EmuFog: Extensible and scalable emulation of large-scale fog computing infrastructures

inferredcites →https://doi.org/10.1109/fwc.2017.8368536openalex-snapshot

Trusted worthy Fog Computing testbed developed in Great China Region

inferredcites →https://doi.org/10.1109/globecom38437.2019.9013357openalex-snapshot

GTTC: A Low-Expenditure IoT Multi-Task Coordinated Distributed Computing Framework with Fog Computing

inferredcites →https://doi.org/10.1109/hpcs.2018.00147openalex-snapshot

End-to-End Service Level Agreement Specification for IoT Applications

inferredcites →https://doi.org/10.1109/hpcs.2018.00157openalex-snapshot

Joint Computation Offloading and Prioritized Scheduling in Mobile Edge Computing

inferredcites →https://doi.org/10.1109/ic2e.2018.00065openalex-snapshot

Practical Criteria for Scheduling CPU-Bound Jobs in Mobile Devices at the Edge

inferredcites →https://doi.org/10.1109/icac.2004.1301333openalex-snapshot

Proceedings International Conference on Autonomic Computing

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Distributed Cost-Optimized Placement for Latency-Critical Applications in Heterogeneous Environments

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Proceedings IEEE International Conference on Communications ICC '95

inferredcites →https://doi.org/10.1109/icc.2016.7511465openalex-snapshot

Handling service allocation in combined Fog-cloud scenarios

inferredcites →https://doi.org/10.1109/icc.2018.8422170openalex-snapshot

Multi-Tier Fog Architecture: A New Delay-Tolerant Network for IoT Data Processing

inferredcites →https://doi.org/10.1109/icc.2018.8423003openalex-snapshot

Fogbed: A Rapid-Prototyping Emulation Environment for Fog Computing

inferredcites →https://doi.org/10.1109/iccke48569.2019.8964946openalex-snapshot

A Novel Energy-aware Scheduling and Load-balancing Technique based on Fog Computing

inferredcites →https://doi.org/10.1109/icdcs.2017.151openalex-snapshot

Fair Caching Algorithms for Peer Data Sharing in Pervasive Edge Computing Environments

inferredcites →https://doi.org/10.1109/icfc.2019.00013openalex-snapshot

A Fog Computing Architecture to Share Sensor Data by Means of Blockchain Functionality

inferredcites →https://doi.org/10.1109/icfec.2017.13openalex-snapshot

An Object Store Service for a Fog/Edge Computing Infrastructure Based on IPFS and a Scale-Out NAS

inferredcites →https://doi.org/10.1109/icfec.2017.8openalex-snapshot

How to Best Deploy Your Fog Applications, Probably

inferredcites →https://doi.org/10.1109/icic48496.2019.8966715openalex-snapshot

An IoT Enabled Framework for Smart Buildings Empowered with Cloud & Fog Infrastructures

inferredcites →https://doi.org/10.1109/ieee.edge.2017.12openalex-snapshot

Fog Computing: Towards Minimizing Delay in the Internet of Things

inferredcites →https://doi.org/10.1109/iemcon.2019.8936206openalex-snapshot

A Performance Evaluation of Raspberry Pi Zero W Based Gateway Running MQTT Broker for IoT

inferredcites →https://doi.org/10.1109/ijcnn.2003openalex-snapshot

Proceedings of the International Joint Conference on Neural Networks, 2003.

inferredcites →https://doi.org/10.1109/ijcnn.2018.8489441openalex-snapshot

Low-Consumption Neuromorphic Memristor Architecture Based on Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/infocom.2017.8057196openalex-snapshot

QoE and power efficiency tradeoff for fog computing networks with fog node cooperation

inferredcites →https://doi.org/10.1109/iot-siu.2018.8519862openalex-snapshot

Quality of Service (QoS) in Internet of Things

inferredcites →https://doi.org/10.1109/iswcs.2019.8877099openalex-snapshot

Traversing Virtual Network Functions from the Edge to the Core: An End-to-End Performance Analysis

inferredcites →https://doi.org/10.1109/jetcas.2019.2933807openalex-snapshot

Byzantine-Tolerant Inference in Distributed Deep Intelligent System: Challenges and Opportunities

inferredcites →https://doi.org/10.1109/jiot.2016.2565516openalex-snapshot

Optimal Workload Allocation in Fog-Cloud Computing Towards Balanced Delay and Power Consumption

inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-snapshot

Edge Computing: Vision and Challenges

inferredcites →https://doi.org/10.1109/jiot.2016.2584538openalex-snapshot

Fog and IoT: An Overview of Research Opportunities

inferredcites →https://doi.org/10.1109/jiot.2017.2714638openalex-snapshot

Evaluating Performance of Containerized IoT Services for Clustered Devices at the Network Edge

inferredcites →https://doi.org/10.1109/jiot.2017.2767608openalex-snapshot

Future Edge Cloud and Edge Computing for Internet of Things Applications

inferredcites →https://doi.org/10.1109/jiot.2017.2780236openalex-snapshot

Multiobjective Optimization for Computation Offloading in Fog Computing

inferredcites →https://doi.org/10.1109/jiot.2018.2823000openalex-snapshot

DEBTS: Delay Energy Balanced Task Scheduling in Homogeneous Fog Networks

inferredcites →https://doi.org/10.1109/jiot.2018.2867351openalex-snapshot

2L-MC 3: A Two-Layer Multi-Community-Cloud/Cloudlet Social Collaborative Paradigm for Mobile Edge Computing

inferredcites →https://doi.org/10.1109/jiot.2018.2874808openalex-snapshot

Fog Computing-Assisted Trustworthy Forwarding Scheme in Mobile Internet of Things

inferredcites →https://doi.org/10.1109/jiot.2018.2875218openalex-snapshot

Power-Constrained Edge Computing With Maximum Processing Capacity for IoT Networks

inferredcites →https://doi.org/10.1109/jiot.2018.2880250openalex-snapshot

Delay-Aware Task Offloading in Shared Fog Networks

inferredcites →https://doi.org/10.1109/jiot.2018.2886757openalex-snapshot

Data-Aware Task Allocation for Achieving Low Latency in Collaborative Edge Computing

inferredcites →https://doi.org/10.1109/jiot.2018.2887229openalex-snapshot

FEMTO: Fair and Energy-Minimized Task Offloading for Fog-Enabled IoT Networks

inferredcites →https://doi.org/10.1109/jiot.2019.2918405openalex-snapshot

A Cloudlet Platform With Virtual Sensors for Smart Edge Computing

inferredcites →https://doi.org/10.1109/mcom.2018.1700707openalex-snapshot

Fog Computing Architecture, Evaluation, and Future Research Directions

inferredcites →https://doi.org/10.1109/mcomstd.2019.1800050openalex-snapshot

Integrating Fog Computing with VANETs: A Consumer Perspective

inferredcites →https://doi.org/10.1109/metroi4.2019.8792885openalex-snapshot

Performance Evaluation of an Edge OBD-II Device for Industry 4.0

inferredcites →https://doi.org/10.1109/mnet.001.1800510openalex-snapshot

AI-Enhanced Offloading in Edge Computing: When Machine Learning Meets Industrial IoT

inferredcites →https://doi.org/10.1109/mnet.2019.1800543openalex-snapshot

Emerging Edge Computing Technologies for Distributed IoT Systems

inferredcites →https://doi.org/10.1109/mwc.001.1900085openalex-snapshot

Quality of Service Optimization in an IoT-Driven Intelligent Transportation System

inferredcites →https://doi.org/10.1109/mwc.2016.7721750openalex-snapshot

Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems

inferredcites →https://doi.org/10.1109/nca.2017.8171359openalex-snapshot

Efficient green solution for a balanced energy consumption and delay in the IoT-Fog-Cloud computing

inferredcites →https://doi.org/10.1109/smartcomp.2018.00080openalex-snapshot

Edge Computing in IoT Ecosystems for UAV-Enabled Early Fire Detection

inferredcites →https://doi.org/10.1109/tcc.2015.2485206openalex-snapshot

Assessment of the Suitability of Fog Computing in the Context of Internet of Things

inferredcites →https://doi.org/10.1109/tce.2018.2883382openalex-snapshot

Attribute-Based Access Control for the Swarm With Distributed Policy Management

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/tii.2018.2843802openalex-snapshot

Industrial IoT Data Scheduling Based on Hierarchical Fog Computing: A Key for Enabling Smart Factory

inferredcites →https://doi.org/10.1109/tmc.2018.2863301openalex-snapshot

Computational Load Balancing on the Edge in Absence of Cloud and Fog

inferredcites →https://doi.org/10.1109/tnse.2018.2852762openalex-snapshot

Towards Workload Balancing in Fog Computing Empowered IoT

inferredcites →https://doi.org/10.1109/tsusc.2017.2702060openalex-snapshot

Sociability-Driven Framework for Data Acquisition in Mobile Crowdsensing Over Fog Computing Platforms for Smart Cities

inferredcites →https://doi.org/10.1109/ucc-companion.2018.00053openalex-snapshot

EdgeBench: Benchmarking Edge Computing Platforms

inferredcites →https://doi.org/10.1109/uic-atc-scalcom-cbdcom-iop-smartworld.2016.0092openalex-snapshot

Enabling Self-Configuration of QoC-Centric Fog Computing Entities

inferredcites →https://doi.org/10.1109/uic-atc.2017.8397448openalex-snapshot

Edge computing framework for distributed smart applications

inferredcites →https://doi.org/10.1109/wfcs.2019.8757960openalex-snapshot

Experimental Characterization of Latency in Distributed IoT Systems with Cloud Fog Offloading

inferredcites →https://doi.org/10.1109/wimob.2019.8923430openalex-snapshot

Differential Compression for Mobile Edge Computing in Internet of Vehicles

inferredcites →https://doi.org/10.1115/imece2015-50173openalex-snapshot

Enabling Right-Provisioned Microprocessor Architectures for the Internet of Things

inferredcites →https://doi.org/10.1145/2342509.2342513openalex-snapshot

Fog computing and its role in the internet of things

inferredcites →https://doi.org/10.1145/3109761.3109786openalex-snapshot

Autonomous cooperative decision-making in massively distributed IoT via heterogenous networks

inferredcites →https://doi.org/10.1145/3309709openalex-snapshot

Cloud, Fog, or Mist in IoT? That Is the Question

inferredcites →https://doi.org/10.1145/3312614openalex-snapshot

Proceedings of the International Conference on Omni-Layer Intelligent Systems

inferredcites →https://doi.org/10.1145/3312614.3312637openalex-snapshot

A Quality Attribute-based Evaluation of Time-series Databases for Edge-centric Architectures

inferredcites →https://doi.org/10.1145/3318216.3363381openalex-snapshot

Energy, latency and staleness tradeoffs in AI-driven IoT

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A fast solution for bi-objective traffic minimization in geo-distributed data flows

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Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing

inferredcites →https://doi.org/10.1145/3344341.3368795openalex-snapshot

Edge Affinity-based Management of Applications in Fog Computing Environments

inferredcites →https://doi.org/10.1145/3359993.3366644openalex-snapshot

Edge Data Repositories - The design of a store-process-send system at the Edge

inferredcites →https://doi.org/10.1145/3366615.3368358openalex-snapshot

Rule based lightweight approach for resources monitoring on IoT Edge devices

inferredcites →https://doi.org/10.1155/2018/2860452openalex-snapshot

NFVMon: Enabling Multioperator Flow Monitoring in 5G Mobile Edge Computing

inferredcites →https://doi.org/10.1186/s13677-017-0090-3openalex-snapshot

Fog computing security: a review of current applications and security solutions

inferredcites →https://doi.org/10.1186/s13677-017-0097-9openalex-snapshot

Multi-access edge computing: open issues, challenges and future perspectives

inferredcites →https://doi.org/10.14236/ewic/ease2008.8openalex-snapshot

Systematic Mapping Studies in Software Engineering

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SIoTFog: Byzantine-resilient IoT fog networking

inferredcites →https://doi.org/10.23919/cnsm46954.2019.9012677openalex-snapshot

Systematic Mapping on Orchestration of Container-based Applications in Fog Computing

inferredcites →https://doi.org/10.23919/inm.2017.7987464openalex-snapshot

Resource aware placement of IoT application modules in Fog-Cloud Computing Paradigm

inferredcites →https://doi.org/10.3390/app8081409openalex-snapshot

Relay-Enabled Task Offloading Management for Wireless Body Area Networks

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Broadening Understanding on Managing the Communication Infrastructure in Vehicular Networks: Customizing the Coverage Using the Delta Network

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Edge Computing Simulators for IoT System Design: An Analysis of Qualities and Metrics

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Towards the Design of a Formal Verification and Evaluation Tool of Real-Time Tasks Scheduling of IoT Applications

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The 5E Model of Environmental Engagement: Bringing Sustainability Change to Higher Education through Positive Psychology

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Proceedings of the 9th International Conference on Cloud Computing and Services Science

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Proceedings of the 11th International Joint Conference on Computational Intelligence

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Self-organizing Service Structures for Cyber-physical Control Models with Applications in Dynamic Factory Automation - A Fog/Edge-based Solution Pattern Towards Service-Oriented Process Automation

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Enhanced Particle Swarm Optimisation and Multi Objective Optimization for the Orchestration of Edge Cloud Clusters

What points at this work

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

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Non-functional requirements elicitation for edge computing

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The applications of Internet of Things in the automotive industry: A review of the batteries, fuel cells, and engines

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inferred← citeshttps://doi.org/10.1109/apet56294.2022.10072875openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/icoris63540.2024.10903754openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/jiot.2021.3056396openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/sgee60678.2023.10481761openalex-snapshot

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inferred← citeshttps://doi.org/10.1109/tim.2023.3341116openalex-snapshot

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inferred← citeshttps://doi.org/10.1142/s0217979222500643openalex-snapshot

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inferred← citeshttps://doi.org/10.1142/s0217984922502281openalex-snapshot

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inferred← citeshttps://doi.org/10.1142/s0218194025300040openalex-snapshot

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inferred← citeshttps://doi.org/10.1155/2022/3543640openalex-snapshot

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inferred← citeshttps://doi.org/10.1177/14727978251364137openalex-snapshot

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inferred← citeshttps://doi.org/10.14569/ijacsa.2024.01503107openalex-snapshot

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inferred← citeshttps://doi.org/10.32604/cmc.2022.020428openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/app15031026openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/electronics14030565openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/electronics15122498openalex-snapshot

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inferred← citeshttps://doi.org/10.36910/6775-2524-0560-2022-47-13openalex-snapshot

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inferred← citeshttps://doi.org/10.52783/jes.2919openalex-snapshot

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inferred← citeshttps://doi.org/10.59461/ijdiic.v2i4.88openalex-snapshot

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