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Umeå universitet
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Huvudmenyn dold.

Ali Rahmanian

Kontakt

E-post
ali.rahmanian@umu.se
Telefon

Verksam som

Anknytning
Systemutvecklare vid Högpresterande beräkningscentrum Norr (HPC2N)
Plats
MIT huset, Campustorget 5, 2 tr, MIT.C.227 Umeå universitet, 901 87 Umeå
Edge orchestration for latency-sensitive applications
UMINF, 24.05
Rahmanian, Ali
CVF: Cross-Video Filtration on the edge
MMSys '24: Proceedings of the 15th ACM Multimedia Systems Conference, Association for Computing Machinery (ACM) 2024 : 231-242
Rahmanian, Ali; Amin, Siddharth; Gustafsson, Harald; et al.
RAVAS: interference-aware model selection and resource allocation for live edge video analytics
2023 IEEE/ACM Symposium on Edge Computing (SEC): Proceedings, Institute of Electrical and Electronics Engineers (IEEE) 2023 : 27-39
Rahmanian, Ali; Ali-Eldin, Ahmed; Kostentinos Tesfatsion, Selome; et al.
Microsplit: efficient splitting of microservices on edge clouds
2022 IEEE/ACM 7th Symposium on Edge Computing (SEC), IEEE 2022 : 252-264
Rahmanian, Ali; Ali-Eldin, Ahmed; Skubic, Björn; et al.
RAVEN: adaptive edge resource allocation with spatio-temporal multiplexing for live video pipelines
Rahmanian, Ali; Ali-Eldin, Ahmed; Shenoy, Prashant; et al.
Hedge: a real-time video analytics system for heterogeneous distributed edge with compressed feeds
Rahmanian, Ali; Kostentinos Tesfatsion, Selome; Skubic, Björn; et al.
Visa publikationer i DiVA

Forskargrupper

Gruppmedlem
Autonomous Distributed Systems Lab

Forskningsprojekt

1 januari 2020 till 29 april 2024
Datadriven automatisering av edge clouds