Suchergebnisse - "serverless edge computing"

Online Learning for Rate-Adaptive Task Offloading Under Latency Constraints in Serverless Edge Computing

Autoren: Tutuncuoglu, Feridun Josilo, Sladana Dán, György

Quelle: IEEE/ACM Transactions on Networking. 31(2):695-709

Schlagwörter: Generalized Nash equilibrium problem, online learning, resource allocation, serverless edge computing, Computation theory, Data structures, E-learning, Edge computing, Game theory, Job analysis, Learning algorithms, Variational techniques, Wireless sensor networks, Computational modelling, FAA, Generalized Nash equilibrium problems, Resources allocation, Task analysis, Wireless communications

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-327031
https://doi.org/10.1109/TNET.2022.3197669

Dynamic Management of Constrained Computing Resources for Serverless Services

Autoren: Madhura Adeppady Alberto Conte Paolo Giaccone et al.

Quelle: IEEE Transactions on Network and Service Management. 22:1646-1663

Schlagwörter: Microservices, Serverless Edge Computing, Container Retention, Energy consumption

Dateibeschreibung: application/pdf

Zugangs-URL: https://ieeexplore.ieee.org/document/10752662
https://hdl.handle.net/11583/2994279
https://doi.org/10.1109/TNSM.2024.3497155

An energy-conscious scheduling framework for serverless edge computing in IoT

Autoren: Mohsen Ghorbian Mostafa Ghobaei-Arani Leila Esmaeili

Quelle: Journal of Cloud Computing: Advances, Systems and Applications, Vol 14, Iss 1, Pp 1-13 (2025)

Schlagwörter: Serverless computing, Energy-conscious scheduling, Intelligently-driven scheduler, Resource provisioning, Function-as-a-Service, Serverless edge computing, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2192-113X

Zugangs-URL: https://doaj.org/article/729bef41d0d3489e822fdf92897275f1

ATOM: AI-Powered Sustainable Resource Management for Serverless Edge Computing Environments

Autoren: Golec, M Gill, SS Cuadrado, F et al.

Weitere Verfasser: Golec, M Gill, SS Cuadrado, F et al.

Quelle: IEEE Transactions on Sustainable Computing, ISSN 2377-3782, 2024-12, Vol. 9, No. 6
Archivo Digital UPM
Universidad Politécnica de Madrid
IEEE Transactions on Sustainable Computing

Schlagwörter: Informática, Telecomunicaciones, Green computing, deep reinforcement learning, sustainable resource management, Internet of Things, Scalability, Computational modeling, Edge computing, internet of things, cold start, 7. Clean energy, Containers, 12. Responsible consumption, Predictive models, 13. Climate action, Serverless edge computing

Dateibeschreibung: application/pdf

Zugangs-URL: https://oa.upm.es/87315/
https://www.repository.cam.ac.uk/handle/1810/362829
https://doi.org/10.1109/tsusc.2023.3348157
https://doi.org/10.17863/cam.104767

QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing

Autoren: Nathaniel Hudson Hana Khamfroush Matt Baughman et al.

Quelle: Hudson, N, Khamfroush, H, Baughman, M, Lucani Rötter, D E, Chard, K & Foster, I 2024, 'QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing', Future Generation Computer Systems, vol. 157, pp. 250-263. https://doi.org/10.1016/j.future.2024.03.035

Schlagwörter: Edge intelligence, Federated learning, Quality-of-service, Service placement, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Serverless edge computing, 02 engineering and technology

Zugangs-URL: https://pure.au.dk/portal/en/publications/45584418-1f63-4c9d-a22e-18b88dbfdf86
https://doi.org/10.1016/j.future.2024.03.035

Potential of Serverless Edge-powered Islands for Web Development

Autoren: Vepsäläinen Juho Vuorimaa Petri Hellas Arto et al.

Weitere Verfasser: Vepsäläinen Juho Vuorimaa Petri Hellas Arto et al.

Quelle: Journal of Web Engineering.

Schlagwörter: World Wide Web, web applications, web development, edge-powered islands, E-commerce, serverless edge computing, performance, islands architecture

Dateibeschreibung: application/pdf

Zugangs-URL: https://aaltodoc.aalto.fi/handle/123456789/137047

faas‐sim: A trace‐driven simulation framework for serverless edge computing platforms

Autoren: Philipp Raith Thomas Rausch Alireza Furutanpey et al.

Quelle: Software: Practice and Experience. 53:2327-2361

Schlagwörter: Edge-cloud continuum, 0202 electrical engineering, electronic engineering, information engineering, Serverless edge computing, 02 engineering and technology, Co-simulation, Simulation

Dateibeschreibung: application/pdf

Enhancing Cloud Security Governance with AI and Data Analytics

Autoren: Sai Sandeep Ogety

Schlagwörter: AI, Data goverence, Serverless edge computing, Access policies

Dynamic time-of-use pricing for serverless edge computing with generalized hidden parameter Markov decision processes

Autoren: Tütüncüoğlu, Feridun Ben-Ameur, Ayoub Araldo, Andrea et al.

Weitere Verfasser: Tütüncüoğlu, Feridun Ben-Ameur, Ayoub Araldo, Andrea et al.

Quelle: IEEE ICDCS - 44th International Conference on Distributed Computing Systems ; https://hal.science/hal-04595426 ; IEEE ICDCS - 44th International Conference on Distributed Computing Systems, Jul 2024, Jersey City, NJ, United States

Schlagwörter: Serverless edge computing, Dynamic Pricing, Resource management, Queuing theory, Transfer Learning, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.3: Network Operations/C.2.3.0: Network management, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

Geographisches Schlagwort: Jersey City, NJ, United States

Verfügbarkeit: https://hal.science/hal-04595426
https://hal.science/hal-04595426v1/document
https://hal.science/hal-04595426v1/file/TutuncuogluBDAC-OptDynamicPricing-ICDCS24.pdf

Scale With What You Have: Scalable Serverless Computing with Limited Resources at the Edge

Autoren: Shrestha, Summit

Schlagwörter: Serverless Edge Computing, Distributed Systems, Computer and Information Science, Computer Science, Autoscaling, Edge System Performance, Edge Scalability

Deployment and Management of Microservices at the Network Edge

Autoren: ADEPPADY, MADHURA

Schlagwörter: Microservices, performance interference, edge computing, microservice placement, resource contention, serverless edge computing, energy-aware orchestration

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/11583/2989633

Scalable Container Caching Optimization with Action Masking for Serverless Edge Computing

Autoren: Veera, Manikanta Sanjay

Quelle: Master's Projects

Schlagwörter: Serverless Edge Computing, Container Caching, Deep Reinforcement Learning, Action Masking, Other Computer Engineering

Dateibeschreibung: application/pdf

Relation: https://scholarworks.sjsu.edu/etd_projects/1385; https://scholarworks.sjsu.edu/context/etd_projects/article/2386/viewcontent/veera_manikantasanjay.pdf

Verfügbarkeit: https://scholarworks.sjsu.edu/etd_projects/1385
https://doi.org/10.31979/etd.kyqj-r3k6
https://scholarworks.sjsu.edu/context/etd_projects/article/2386/viewcontent/veera_manikantasanjay.pdf

Efficient and Transparent Model Selection for Serverless Machine Learning Platforms

Autoren: Vasiljevic, Silvio

Schlagwörter: Machine Learning Operations, Serverless Edge Computing, Distributed Systems, Performance Optimization, Edge Computing, Quality of Service, Automatic Model Selection, Model Deployment in Cloud, Serverless Computing, Cloud Service Selection