Cover Image

Mobile Cloud Computing in Healthcare Using Dynamic Cloudlets for Energy-Aware Consumption

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Muniswamaiah, Manoj, Tappert, Charles
Format:	Preprint
Published:	2019
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Designing an Energy Aware Data Replication Strategy for Cloud Systems Using Reinforcement Learning
by: Najjar, Amir, et al.
Published: (2025)

The Impact of Process Competition on Energy Consumption: Analysis and Modeling
by: Campos, Eduardo Gomes, et al.
Published: (2026)

An Efficient Approach for Energy Conservation in Cloud Computing Environment
by: Pande, Sohan Kumar, et al.
Published: (2025)

Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters
by: Thamm, Philipp, et al.
Published: (2025)

Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales
by: Tang, Lujie, et al.
Published: (2024)

Checkpoint and Restart: An Energy Consumption Characterization in Clusters
by: Moran, Marina, et al.
Published: (2024)

Power Aware Container Placement in Cloud Computing with Affinity and Cubic Power Model
by: Sarkar, Suvarthi, et al.
Published: (2024)

Calibrating Microgrid Simulations for Energy-Aware Computing Systems
by: Steinke, Marvin
Published: (2026)

e112: A Context-Aware Mobile Emergency Communication Platform Leveraging Smartphone Sensing and Cloud Services
by: Ioannidou, Katerina, et al.
Published: (2026)

A Joint Time and Energy-Efficient Federated Learning-based Computation Offloading Method for Mobile Edge Computing
by: Mukherjee, Anwesha, et al.
Published: (2024)

Modeling Anomaly Detection in Cloud Services: Analysis of the Properties that Impact Latency and Resource Consumption
by: Grabher, Gabriel Job Antunes, et al.
Published: (2025)

Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
by: Gao, Chuanchao, et al.
Published: (2025)

Mobile Edge Computing
by: Ahmed, Sohaib, et al.
Published: (2024)

BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT
by: Ju, Zehao, et al.
Published: (2024)

Cloud Revolution: Tracing the Origins and Rise of Cloud Computing
by: Gurung, Deepa, et al.
Published: (2025)

When Computing follows Vehicles: Decentralized Mobility-Aware Resource Allocation for Edge-to-Cloud Continuum
by: Nezami, Zeinab, et al.
Published: (2024)

Energy-Aware Workflow Execution: An Overview of Techniques for Saving Energy and Emissions in Scientific Compute Clusters
by: Thamsen, Lauritz, et al.
Published: (2025)

COUNTER: Cluster GCN based Energy Efficient Resource Management for Sustainable Cloud Computing Environments
by: Wang, Han, et al.
Published: (2025)

TIMBER: On supporting data pipelines in Mobile Cloud Environments
by: Tomaras, Dimitrios, et al.
Published: (2024)

Bridge the Present and Future: A Cross-Layer Matching Game in Dynamic Cloud-Aided Mobile Edge Networks
by: Qi, Houyi, et al.
Published: (2023)

Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations
by: Özcan, Miray, et al.
Published: (2025)

Energy-Aware Computing in the Year 2026
by: Tchakoute, Roblex Nana, et al.
Published: (2026)

Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation
by: Li, Senyao, et al.
Published: (2026)

A Dynamic Approach to Load Balancing in Cloud Infrastructure: Enhancing Energy Efficiency and Resource Utilization
by: Sakib, Shadman, et al.
Published: (2025)

Autonomic Cloud Computing: Research Perspective
by: Gill, Sukhpal Singh
Published: (2015)

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
by: Sinha, Aditya, et al.
Published: (2025)

Falafels: A tool for Estimating Federated Learning Energy Consumption via Discrete Simulation
by: de Barochez, Andrew Mary Huet, et al.
Published: (2025)

EMLIO: Minimizing I/O Latency and Energy Consumption for Large-Scale AI Training
by: Jamil, Hasibul, et al.
Published: (2025)

Proof of Team Sprint: A Collaborative Consensus Algorithm for Reducing Energy Consumption in Blockchain Systems
by: Yonezawa, Naoki
Published: (2024)

Optimizing STAR Aligner for High Throughput Computing in the Cloud
by: Kica, Piotr, et al.
Published: (2024)

The Jevons Paradox In Cloud Computing: A Thermodynamics Perspective
by: Sharma, Prateek
Published: (2024)

Dynamic Service Scheduling and Resource Management in Energy-Harvesting Multi-access Edge Computing
by: Chen, Shuyi, et al.
Published: (2025)

CASA: A Framework for SLO and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing
by: Qi, S., et al.
Published: (2024)

Barycentric Coded Distributed Computing with Flexible Recovery Threshold for Collaborative Mobile Edge Computing
by: Qiu, Houming, et al.
Published: (2025)

Service-Level Energy Modeling and Experimentation for Cloud-Native Microservices
by: Legler, Julian, et al.
Published: (2025)

Minimizing Energy in Reliability and Deadline-Ensured Workflow Scheduling in Cloud
by: Sarkar, Suvarthi, et al.
Published: (2025)

Review of Hybrid Load Balancing Algorithms in Cloud Computing Environment
by: Ijeoma, Chukwuneke Chiamaka, et al.
Published: (2022)

Towards Seamless Serverless Computing Across an Edge-Cloud Continuum
by: Simion, Emilian, et al.
Published: (2024)

Hybrid Cloud Architectures for Research Computing: Applications and Use Cases
by: Stiensmeier, Xaver, et al.
Published: (2026)

Towards Carbon-Aware Container Orchestration: Predicting Workload Energy Consumption with Federated Learning
by: Saad, Zainab, et al.
Published: (2025)