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Joint Computation Partitioning and Resource Allocation for Latency Sensitive Applications in Mobile 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/10.1007/978-3-642-10445-9_5openalex-snapshot
Calling the Cloud: Enabling Mobile Phones as Interfaces to Cloud Applications
inferredcites →https://doi.org/10.1109/71.993206openalex-snapshot
Performance-effective and low-complexity task scheduling for heterogeneous computing
inferredcites →https://doi.org/10.1109/infcom.2012.6195845openalex-snapshot
ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading
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.2016.7524497openalex-snapshot
Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing
inferredcites →https://doi.org/10.1109/jsyst.2017.2654119openalex-snapshot
Mobile Edge Cloud System: Architectures, Challenges, and Approaches
inferredcites →https://doi.org/10.1109/mcom.2016.7565185openalex-snapshot
Big data caching for networking: moving from cloud to edge
inferredcites →https://doi.org/10.1109/tc.2015.2435781openalex-snapshot
Cost Aware Service Placement and Load Dispatching in Mobile Cloud Systems
inferredcites →https://doi.org/10.1109/tcc.2014.2358239openalex-snapshot
Run Time Application Repartitioning in Dynamic Mobile Cloud Environments
inferredcites →https://doi.org/10.1109/tcsvt.2016.2539827openalex-snapshot
Prius: Hybrid Edge Cloud and Client Adaptation for HTTP Adaptive Streaming in Cellular Networks
inferredcites →https://doi.org/10.1109/tnet.2015.2487344openalex-snapshot
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
inferredcites →https://doi.org/10.1109/tnet.2017.2652850openalex-snapshot
Mobile Edge Cloud Network Design Optimization
inferredcites →https://doi.org/10.1109/tpds.2016.2624733openalex-snapshot
AppBooster: Boosting the Performance of Interactive Mobile Applications with Computation Offloading and Parameter Tuning
inferredcites →https://doi.org/10.1109/twc.2016.2633522openalex-snapshot
Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading
inferredcites →https://doi.org/10.1145/2479942.2479946openalex-snapshot
A framework for partitioning and execution of data stream applications in mobile cloud computing
inferredcites →https://doi.org/10.5555/2387880.2387890openalex-snapshot
COMET: code offload by migrating execution transparently
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4889114openalex-extracted
Fault-Tolerant Offloading Algorithm of Independent Tasks in Edge Networks
inferred← citeshttps://doi.org/10.1002/spe.2758openalex-snapshot
BCEdge: Blockchain‐based resource management in D2D‐assisted mobile edge computing
inferred← citeshttps://doi.org/10.1007/978-3-030-29035-1_36openalex-snapshot
Real-Time Multi-resource Allocation via a Structured Policy Table
inferred← citeshttps://doi.org/10.1007/978-3-031-34171-7_8openalex-snapshot
Putting Intelligence into Things: An Overview of Current Architectures
inferred← citeshttps://doi.org/10.1007/s10922-024-09859-zopenalex-snapshot
Dynamic Microservice Provisioning in 5G Networks Using Edge–Cloud Continuum
inferred← citeshttps://doi.org/10.1016/j.comcom.2019.10.012openalex-snapshot
Cognitive computing and wireless communications on the edge for healthcare service robots
inferred← citeshttps://doi.org/10.1016/j.comnet.2020.107276openalex-snapshot
Near-optimal and learning-driven task offloading in a 5G multi-cell mobile edge cloud
inferred← citeshttps://doi.org/10.1080/17477778.2021.1964393openalex-snapshot
Mobile experimentation using modelling and simulation in the Fog/Cloud
inferred← citeshttps://doi.org/10.1109/access.2019.2922992openalex-snapshot
Energy-Efficient and Delay-Guaranteed Workload Allocation in IoT-Edge-Cloud Computing Systems
inferred← citeshttps://doi.org/10.1109/access.2019.2931336openalex-snapshot
Joint Cotask-Aware Offloading and Scheduling in Mobile Edge Computing Systems
inferred← citeshttps://doi.org/10.1109/access.2019.2938660openalex-snapshot
Toward Computation Offloading in Edge Computing: A Survey
inferred← citeshttps://doi.org/10.1109/ants52808.2021.9937017openalex-snapshot
OCTANE: A Joint Computation Offloading and Resource Allocation Scheme for MEC Assisted 5G NR Vehicular Networks
inferred← citeshttps://doi.org/10.1109/glocomw.2018.8644384openalex-snapshot
QoS-Aware Mobile Edge Computing System: Multi-Server Multi-User Scenario
inferred← citeshttps://doi.org/10.1109/iciics59993.2023.10421213openalex-snapshot
Resource Allocation for Cloud Wireless Access Networks Based on Distributed Task Scheduling Algorithms
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00070openalex-snapshot
Joint Optimization of Data Caching and Task Scheduling based on Information Entropy for Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/iwqos49365.2020.9212917openalex-snapshot
Delay-Sensitive Computation Partitioning for Mobile Augmented Reality Applications
inferred← citeshttps://doi.org/10.1109/jiot.2018.2869750openalex-snapshot
Revisiting Computation Partitioning in Future 5G-Based Edge Computing Environments
inferred← citeshttps://doi.org/10.1109/jiot.2020.2982458openalex-snapshot
Dynamic Component Placement and Request Scheduling for IoT Big Data Streaming
inferred← citeshttps://doi.org/10.1109/jiot.2020.3004165openalex-snapshot
Deep-Dual-Learning-Based Cotask Processing in Multiaccess Edge Computing Systems
inferred← citeshttps://doi.org/10.1109/tmc.2019.2893250openalex-snapshot
DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning
inferred← citeshttps://doi.org/10.1109/tmc.2022.3148034openalex-snapshot
Nonlinear Online Incentive Mechanism Design in Edge Computing Systems With Energy Budget
inferred← citeshttps://doi.org/10.1109/tnse.2019.2955474openalex-snapshot
Optimal Task Allocation in Vehicular Fog Networks Requiring URLLC: An Energy-Aware Perspective
inferred← citeshttps://doi.org/10.1109/tpds.2025.3619775openalex-snapshot
Chorus: Robust Multitasking Local Client-Server Collaborative Inference With Wi-Fi 6 for AIoT Against Stochastic Congestion Delay
inferred← citeshttps://doi.org/10.1109/tsipn.2022.3171336openalex-snapshot
Deep Reinforcement Learning-Based Cloud-Edge Collaborative Mobile Computation Offloading in Industrial Networks
inferred← citeshttps://doi.org/10.1109/tvt.2019.2904244openalex-snapshot
Collaborative Cloud and Edge Computing for Latency Minimization
inferred← citeshttps://doi.org/10.1109/twc.2019.2947046openalex-snapshot
An Online Incentive Mechanism for Collaborative Task Offloading in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1117/12.3009552openalex-snapshot
Trajectory-aware intelligent service migration in vehicular edge network
inferred← citeshttps://doi.org/10.1145/3511808.3557080openalex-snapshot
Towards Edge-Cloud Collaborative Machine Learning: A Quality-aware Task Partition Framework
inferred← citeshttps://doi.org/10.1145/3616374openalex-snapshot
DAG Scheduling in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1155/2021/6638730openalex-snapshot
Multitier Service Migration Framework Based on Mobility Prediction in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1155/2022/1121822openalex-snapshot
Computation Offloading in Mobile Cloud Computing and Mobile Edge Computing: Survey, Taxonomy, and Open Issues
inferred← citeshttps://doi.org/10.1186/s13638-021-02008-zopenalex-snapshot
Latency optimization for D2D-enabled parallel mobile edge computing in cellular networks
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2299631/v1openalex-snapshot
Energy and Performance Centric Resource Allocation Framework in Virtual Machine Consolidation using Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.21203/rs.3.rs-51853/v1openalex-snapshot
Latency Optimization for D2D-Enabled Parallel Mobile Edge Computing in Cellular Networks
inferred← citeshttps://doi.org/10.36548/jsws.2019.3.003openalex-snapshot
SURVEY ON VIRTUAL LOAD BALANCING ARCHITECTURES IN MOBILE CLOUD
inferred← citeshttps://doi.org/10.4018/ijwsr.302639openalex-snapshot
A Predictive and Trajectory-Aware Edge Service Allocation Approach in a Mobile Computing Environment
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