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A Survey of Computational Offloading in Mobile Cloud Computing
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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/s10723-014-9323-6openalex-snapshot
Energy Efficient Computational Offloading Framework for Mobile Cloud Computing
inferredcites →https://doi.org/10.1007/s11036-012-0368-0openalex-snapshot
A Survey of Computation Offloading for Mobile Systems
inferredcites →https://doi.org/10.1016/j.asoc.2014.09.016openalex-snapshot
Automatic offloading of mobile applications into the cloud by means of genetic programming
inferredcites →https://doi.org/10.1109/ispa.2012.115openalex-snapshot
Adaptive Computation Offloading from Mobile Devices into the Cloud
inferredcites →https://doi.org/10.1109/mnet.2016.7437025openalex-snapshot
Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study
inferredcites →https://doi.org/10.1109/tc.2015.2470255openalex-snapshot
Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning
inferredcites →https://doi.org/10.1371/journal.pone.0102270openalex-snapshot
A Lightweight Distributed Framework for Computational Offloading in Mobile Cloud Computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Mobile Cloud Cloudlet Online Gaming Transmission System (MCCGT)
inferred← citeshttps://doi.org/10.1007/978-3-031-31275-5_11openalex-snapshot
Research on Edge Computing Offloading Based on Reinforcement Learning in Multi-user Scenarios
inferred← citeshttps://doi.org/10.1007/978-3-031-63989-0_9openalex-snapshot
LOADHoC: Towards the Automatic Local Distribution of Computation Using Existing IoT Devices
inferred← citeshttps://doi.org/10.1007/978-981-95-0401-5_3openalex-snapshot
Direct or Relay D2D Communication for Network Lifetime Enhancement
inferred← citeshttps://doi.org/10.1007/s11227-022-04626-wopenalex-snapshot
A popularity-aware and energy-efficient offloading mechanism in fog computing
inferred← citeshttps://doi.org/10.1007/s11227-023-05692-4openalex-snapshot
Energy-aware server placement in mobile edge computing using trees social relations optimization algorithm
inferred← citeshttps://doi.org/10.1109/access.2021.3119874openalex-snapshot
Task Scheduling With Multicore Edge Computing in Dense Small Cell Networks
inferred← citeshttps://doi.org/10.1109/icacctech61146.2023.00031openalex-snapshot
Dynamic Load Balancing Framework for Context Sensitive Offloading Scheme in Mobile Cloud Computing
inferred← citeshttps://doi.org/10.1109/icc45855.2022.9838921openalex-snapshot
A Computation Task Offloading Scheme based on Mobile-Cloud and Edge Computing for WBANs
inferred← citeshttps://doi.org/10.1109/iccw.2019.8757171openalex-snapshot
Wireless Powered Communication Networks Assisted by Multiple Fog Servers
inferred← citeshttps://doi.org/10.1109/jiot.2020.3029166openalex-snapshot
Communication-Efficient Offloading for Mobile-Edge Computing in 5G Heterogeneous Networks
inferred← citeshttps://doi.org/10.1109/jiot.2021.3100253openalex-snapshot
Fairness-Aware Task Offloading and Resource Allocation in Cooperative Mobile-Edge Computing
inferred← citeshttps://doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00049openalex-snapshot
Cost-Effective Task Scheduling in Mobile Cloud Computing Under a Deadline Constraint
inferred← citeshttps://doi.org/10.1109/spin.2017.8050006openalex-snapshot
User preference-driven offloading scheme for mobile cloud computing
inferred← citeshttps://doi.org/10.1109/tsc.2018.2803826openalex-snapshot
QoS-Aware Robotic Streaming Workflow Allocation in Cloud Robotics Systems
inferred← citeshttps://doi.org/10.1109/tvt.2021.3062664openalex-snapshot
Fog-Enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing
inferred← citeshttps://doi.org/10.1109/ucc48980.2020.00064openalex-snapshot
Energy-efficient Resource Allocation for UAV-empowered Mobile Edge Computing System
inferred← citeshttps://doi.org/10.1109/vtc2024-spring62846.2024.10683351openalex-snapshot
Hierarchical Federated Learning with Edge Optimization in Constrained Networks
inferred← citeshttps://doi.org/10.1109/wcnc65185.2026.11555435openalex-snapshot
Hierarchical Federated Reinforcement Learning for Collaborative Wireless Distributed Systems
inferred← citeshttps://doi.org/10.1109/wf-iot54382.2022.10152245openalex-snapshot
Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial Intelligence, and Blockchain: Survey and Their Convergence
inferred← citeshttps://doi.org/10.12700/aph.17.10.2020.10.3openalex-snapshot
Future 5G Mobile Broadband Networks Using Cloud-based Services with Advanced Security and QoS Framework
inferred← citeshttps://doi.org/10.14445/22315381/cati3p209openalex-snapshot
A Review of Computation Offloading For Mobile Cloud Computing Based On Fuzzy Set Theory
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1959758/v1openalex-snapshot
Multi objectives Edge Server Placement in Mobile Edge computing Using Trees Social Relations Optimization Algorithm and DVFS technique
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1959758/v2openalex-snapshot
Multi objectives Edge Server Placement in Mobile Edge computing Using Trees Social Relations Optimization Algorithm and DVFS technique
inferred← citeshttps://doi.org/10.25007/ajnu.v6n3a96openalex-snapshot
Mobile Cloud Computing: A Review
inferred← citeshttps://doi.org/10.3390/electronics10233038openalex-snapshot
Task Offloading Strategy and Simulation Platform Construction in Multi-User Edge Computing Scenario
inferred← citeshttps://doi.org/10.3390/s18093030openalex-snapshot
An IoT-Oriented Offloading Method with Privacy Preservation for Cloudlet-Enabled Wireless Metropolitan Area Networks
inferred← citeshttps://doi.org/10.35537/10915/122360openalex-snapshot
Plataforma colaborativa, distribuida, escalable y de bajo costo basada en microservicios, contenedores, dispositivos móviles y servicios en la Nube para tareas de cómputo intensivo
inferred← citeshttps://doi.org/10.63282/3050-9416.ijaibdcms-v4i3p103openalex-snapshot
Comparative Analysis of Public Cloud Providers for Big Data Analytics: AWS, Azure, and Google Cloud
inferred← citeshttps://doi.org/10.70675/173ddfbbze174z4071z8a12zfe1f2a845051openalex-snapshot
La sécurité et la confiance pour le Cloud computing mobile
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