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On Uncoordinated Service Placement in Edge-Clouds
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4419-0176-7_10openalex-snapshot
Delay Characteristics of Packet Switched Networks
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/10.1109/cloudcom.2016.0055openalex-snapshot
Performance Analysis of Object Store Systems in a Fog/Edge Computing Infrastructures
inferredcites →https://doi.org/10.1109/cloudnet.2016.21openalex-snapshot
Seamless Support of Low Latency Mobile Applications with NFV-Enabled Mobile Edge-Cloud
inferredcites →https://doi.org/10.1109/ifipnetworking.2015.7145315openalex-snapshot
Cloudlet network design optimization
inferredcites →https://doi.org/10.1109/infocom.2016.7524340openalex-snapshot
A hierarchical edge cloud architecture for mobile computing
inferredcites →https://doi.org/10.1109/infocom.2017.8057116openalex-snapshot
Online job dispatching and scheduling in edge-clouds
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/mprv.2015.32openalex-snapshot
Edge Analytics in the Internet of Things
inferredcites →https://doi.org/10.1109/tnet.2016.2575779openalex-snapshot
Online Allocation of Virtual Machines in a Distributed Cloud
inferredcites →https://doi.org/10.1109/tnsm.2013.052113.120382openalex-snapshot
Distributed Cache Management in Information-Centric Networks
inferredcites →https://doi.org/10.1145/2594368.2594383openalex-snapshot
Towards wearable cognitive assistance
inferredcites →https://doi.org/10.1145/2942358.2942363openalex-snapshot
Asymptotically optimal algorithm for online reconfiguration of edge-clouds
inferredcites →https://doi.org/10.4108/icst.simutools.2014.254630openalex-snapshot
Icarus: a Caching Simulator for Information Centric Networking (ICN)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Energy aware cloud‐edge service placement approaches in the Internet of Things communications
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A DQN-Based Approach for Online Service Placement in Mobile Edge Computing
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DeFog: Adaptive Microservice Scheduling on Kubernetes Clusters in Cloud-Edge-Fog Infrastructures
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Research and Design of Fog Network Architecture with Smart Control System
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Towards energy-efficient service scheduling in federated edge clouds
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An adaptive function placement in serverless computing
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Modeling the Green Cloud Continuum: integrating energy considerations into Cloud–Edge models
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Opportunistic Deployment of Distributed Edge Clouds for Latency-Critical Applications
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IoT Data Replication and Consistency Management in Fog Computing
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Optimal Service Selection and Placement Based on Popularity and Server Load in Multi-access Edge Computing
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Reconfigurable edge as a service: enhancing edges using quality-based solutions
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GA and PSO-based heuristic approach for energy-optimized VM scheduling in CloudSim plus
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The troubled journey of QoS: From ATM to content networking, edge-computing and distributed internet governance
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Classification of optimization problems in fog computing
inferred← citeshttps://doi.org/10.1016/j.is.2021.101840openalex-snapshot
The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)
inferred← citeshttps://doi.org/10.1016/j.pmcj.2020.101316openalex-snapshot
Distributed algorithms based on proximity for self-organizing fog computing systems
inferred← citeshttps://doi.org/10.1016/j.simpat.2019.102007openalex-snapshot
Architecture and performance evaluation of distributed computation offloading in edge computing
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.2021.3099942openalex-snapshot
edgeRouting: Using Compute Nodes in Proximity to Route IoT Data
inferred← citeshttps://doi.org/10.1109/access.2022.3160738openalex-snapshot
Dynamic Service Placement in Multi-Access Edge Computing: A Systematic Literature Review
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/acsos-c51401.2020.00028openalex-snapshot
An Energy-Efficient Service Scheduling Algorithm in Federated Edge Cloud
inferred← citeshttps://doi.org/10.1109/cloudcom2018.2018.00024openalex-snapshot
An Architectural Framework for Serverless Edge Computing: Design and Emulation Tools
inferred← citeshttps://doi.org/10.1109/compcomm.2018.8780879openalex-snapshot
Gateway Nodes Selection Strategy for Hierarchical Edge-Cloud
inferred← citeshttps://doi.org/10.1109/comst.2021.3101460openalex-snapshot
Survey on Placement Methods in the Edge and Beyond
inferred← citeshttps://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech49142.2020.00039openalex-snapshot
A Novel Fog Node Aggregation Approach for Users in Fog Computing Environment
inferred← citeshttps://doi.org/10.1109/globecom38437.2019.9014298openalex-snapshot
Virtual CDN Providers: Profit Maximization through Collaboration
inferred← citeshttps://doi.org/10.1109/globecom42002.2020.9322305openalex-snapshot
An ICN-based Approach for Service Caching in Edge/Fog Environments
inferred← citeshttps://doi.org/10.1109/ic2e55432.2022.00022openalex-snapshot
Privacy-Preserving Storage in the Fog
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/icct50939.2020.9295887openalex-snapshot
Energy Efficient and Delay Aware Service Selection in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/icdcs47774.2020.00051openalex-snapshot
To Cache or Not to Cache: Stable Service Caching in Mobile Edge-Clouds of a Service Market
inferred← citeshttps://doi.org/10.1109/icin.2019.8685872openalex-snapshot
Enhanced Augmented Reality Applications in Vehicle-to-Edge Networks
inferred← citeshttps://doi.org/10.1109/icnp.2019.8888150openalex-snapshot
A Reinforcement Learning Approach for Online Service Tree Placement in Edge Computing
inferred← citeshttps://doi.org/10.1109/infocom42981.2021.9488804openalex-snapshot
Store Edge Networked Data (SEND): A Data and Performance Driven Edge Storage Framework
inferred← citeshttps://doi.org/10.1109/iscc47284.2019.8969730openalex-snapshot
Named Functions at the Edge
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom57177.2022.00083openalex-snapshot
Non-Cooperative Game for Edge Server Placement in Wireless Body Area Network
inferred← citeshttps://doi.org/10.1109/ispdc.2019.000-1openalex-snapshot
Networked Virtual Machine Placement in Edge Cloud Systems
inferred← citeshttps://doi.org/10.1109/lanman.2018.8475057openalex-snapshot
On-path Cloudlet Pricing for Low Latency Application Provisioning
inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3377917openalex-snapshot
Scheduling Multi-Component Applications Across Federated Edge Clusters With Phare
inferred← citeshttps://doi.org/10.1109/percom.2019.8767419openalex-snapshot
Low-latency Distributed Computation Offloading for Pervasive Environments
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On the Efficiency of Job Offloading in Edge Networks
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Formal Models for the Energy-Aware Cloud-Edge Computing Continuum: Analysis and Challenges
inferred← citeshttps://doi.org/10.1109/tcc.2021.3102996openalex-snapshot
Context-Aware Routing in Fog Computing Systems
inferred← citeshttps://doi.org/10.1109/tmc.2022.3148254openalex-snapshot
Deep Reinforcement Learning Based Approach for Online Service Placement and Computation Resource Allocation in Edge Computing
inferred← citeshttps://doi.org/10.1109/tmc.2023.3268048openalex-snapshot
Joint Service Caching, Resource Allocation and Task Offloading for MEC-Based Networks: A Multi-Layer Optimization Approach
inferred← citeshttps://doi.org/10.1109/tnsm.2018.2798413openalex-snapshot
Utilitarian Placement of Composite Services
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Edge/Cloud Infinite-Time Horizon Resource Allocation for Distributed Machine Learning and General Tasks
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FogSpot: Spot Pricing for Application Provisioning in Edge/Fog Computing
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Resource Provisioning and Allocation in Function-as-a-Service Edge-Clouds
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When Edge Caching Meets a Budget: Near Optimal Service Delivery in Multi-Tiered Edge Clouds
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Edge-Facilitated Augmented Vision in Vehicle-to-Everything Networks
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Edge-MAP: Auction Markets for Edge Resource Provisioning
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DEEM: Enabling Microservices via DEvice Edge Markets
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Decentralised Edge-Computing and IoT through Distributed Trust
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On the Use of Intelligent Models towards Meeting the Challenges of the Edge Mesh
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Optimizing Resource Allocation in the Edge: A Minimum Weighted Vertex Cover Approach
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A Survey on Services Placement Algorithms in Integrated Cloud-Fog / Edge Computing
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Fog Network Area Management Model for Managing Fog-cloud Resources in IoT Environment
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Comparative Evaluation of Dataflow Component Selection Methods in Distributed MQTT Broker Environment
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Triptych: Multi-objective Optimisation of Service Deployment Costs, Application Delay and Bandwidth Usage
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Triptych: Multi-objective optimisation of service deployment costs, application delay and bandwidth usage
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Latency-Classification-Based Deadline-Aware Task Offloading Algorithm in Mobile Edge Computing Environments
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Fog Computing for Realizing Smart Neighborhoods in Smart Grids
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Mobility-Enabled Edge Server Selection for Multi-User Composite Services
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An In-Network Cooperative Storage Schema Based on Neighbor Offloading in a Programmable Data Plane
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A New Cache Update Scheme Using Reinforcement Learning for Coded Video Streaming Systems
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Mobility-aware dynamic service placement for edge computing
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On the Road from Edge Computing to the Edge Mesh
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Placement des données de l'internet des objets dans une infrastructure de fog
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