Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohamed Handaoui"'
RISCLESS: A Reinforcement Learning Strategy to Guarantee SLA on Cloud Ephemeral and Stable Resources
Autor:
SidAhmed Yalles, Mohamed Handaoui, Jean-Emile Dartois, Olivier Barais, Laurent d'Orazio, Jalil Boukhobza
Publikováno v:
2022 PDP-30th Euromicro International Conference on Parallel, Distributed and Network-Based Processing
2022 PDP-30th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, Mar 2022, Valladolid, Spain. pp.83-87, ⟨10.1109/PDP55904.2022.00021⟩
2022 30th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
2022 30th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Mar 2022, Valladolid, Spain. pp.83-87, ⟨10.1109/PDP55904.2022.00021⟩
2022 30th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Mar 2022, Valladolid, France. pp.83-87, ⟨10.1109/PDP55904.2022.00021⟩
2022 PDP-30th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, Mar 2022, Valladolid, Spain. pp.83-87, ⟨10.1109/PDP55904.2022.00021⟩
2022 30th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
2022 30th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Mar 2022, Valladolid, Spain. pp.83-87, ⟨10.1109/PDP55904.2022.00021⟩
2022 30th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Mar 2022, Valladolid, France. pp.83-87, ⟨10.1109/PDP55904.2022.00021⟩
International audience; In this paper, we propose RISCLESS, a Reinforcement Learning strategy to exploit unused Cloud resources. Our approach consists in using a small proportion of stable on-demand resources alongside the ephemeral ones in order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9763aafce129988d8f74bcd41539368
https://hal.archives-ouvertes.fr/hal-03652734
https://hal.archives-ouvertes.fr/hal-03652734
Publikováno v:
CloudCom 2020-12th IEEE International Conference on Cloud Computing Technology and Science
CloudCom 2020-12th IEEE International Conference on Cloud Computing Technology and Science, Dec 2020, Bangkok, Thailand. pp.1-9
HAL
CloudCom
CloudCom 2020-12th IEEE International Conference on Cloud Computing Technology and Science, Dec 2020, Bangkok, Thailand. pp.1-9
HAL
CloudCom
Cloud data center capacities are over-provisioned to handle demand peaks and hardware failures which leads to low resources' utilization. One way to improve resource utilization and thus reduce the total cost of ownership is to offer unused resources
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d82c32a6e3604224b6d0c85aeea854c0
https://hal.archives-ouvertes.fr/hal-02989286
https://hal.archives-ouvertes.fr/hal-02989286
Publikováno v:
CCGRID 2020-20th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
CCGRID 2020-20th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Nov 2020, Melbourne, Australia. pp.1-10
CCGRID
CCGRID 2020-20th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Nov 2020, Melbourne, Australia. pp.1-10
CCGRID
International audience; Most cloud data centers are over-provisioned and underutilized, primarily to handle peak loads and sudden failures. This has motivated many researchers to reclaim the unused resources, which are by nature ephemeral, to run dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7252c30188a146dac5de6631291b129
https://hal.science/hal-02497029/document
https://hal.science/hal-02497029/document
Publikováno v:
HAL
MASCOTS 2019-27th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
MASCOTS 2019-27th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Oct 2019, Rennes, France. pp.1-2
MASCOTS
MASCOTS 2019-27th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
MASCOTS 2019-27th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Oct 2019, Rennes, France. pp.1-2
MASCOTS
In this demo paper, we present an architecture that leverages unused but volatile Cloud resources to run big data jobs. It is based on a learning algorithm that accurately predicts future availability of resources to automatically scale the ran jobs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f04f7004dda318728794a9cd76eb764b
https://hal.inria.fr/hal-02362257
https://hal.inria.fr/hal-02362257