RAC, 2024
ViewPDF| Publication | Publication Date | Title |
|---|---|---|
| Martinez et al. | Design, resource management, and evaluation of fog computing systems: a survey | |
| Raeisi-Varzaneh et al. | Resource scheduling in edge computing: Architecture, taxonomy, open issues and future research directions | |
| Hong et al. | Resource management in fog/edge computing: a survey on architectures, infrastructure, and algorithms | |
| US11159609B2 (en) | Method, system and product to implement deterministic on-boarding and scheduling of virtualized workloads for edge computing | |
| Buyya et al. | Fog and edge computing: principles and paradigms | |
| Chiang et al. | Management and orchestration of edge computing for IoT: A comprehensive survey | |
| Ghanbari et al. | Resource allocation mechanisms and approaches on the Internet of Things | |
| Duc et al. | Machine learning methods for reliable resource provisioning in edge-cloud computing: A survey | |
| Velasquez et al. | Fog orchestration for the Internet of Everything: state-of-the-art and research challenges | |
| Toczé et al. | A taxonomy for management and optimization of multiple resources in edge computing | |
| Sonmez et al. | Edgecloudsim: An environment for performance evaluation of edge computing systems | |
| Mahmud et al. | Fog computing: A taxonomy, survey and future directions | |
| EP3885908A1 (en) | A computer-readable storage medium, an apparatus and a method to select access layer devices to deliver services to clients in an edge computing system | |
| Sara et al. | A softwarization architecture for UAVs and WSNs as Part of the cloud environment | |
| Alwasel et al. | BigDataSDNSim: a simulator for analyzing big data applications in software‐defined cloud data centers | |
| Tran et al. | OaaS: offload as a service in fog networks | |
| Rac et al. | Cost-aware service placement and scheduling in the edge-cloud continuum | |
| Morichetta et al. | Intent-based management for the distributed computing continuum | |
| Premkumar et al. | A Survey of Architecture, Framework and Algorithms for Resource Management in Edge Computing. | |
| Passas et al. | Artificial Intelligence for network function autoscaling in a cloud-native 5G network | |
| Maarouf et al. | Comparative study of simulators for cloud computing | |
| Barrachina‐Muñoz et al. | Deploying cloud‐native experimental platforms for zero‐touch management 5G and beyond networks | |
| RAC | Optimization and Orchestration in the Cloud-to-Edge Computing Continuum | |
| Caiazza et al. | Measurement-driven design and runtime optimization in edge computing: Methodology and tools | |
| Arzo | Towards Network Automation: A Multi-Agent Based Intelligent Networking System |