Frequency Selection Approach for Energy Aware Cloud Database

Autor: Chaopeng Guo, Jean-Marc Pierson, Hui Liu, Jie Song

Publikováno v: IEEE Access, Vol 7, Pp 1927-1942 (2019)

A lot of cloud systems are adopted in industry and academia to face the explosion of the data volume and the arrival of the big data era. Meanwhile, energy efficiency and energy saving become major concerns for data centers where massive cloud system

Externí odkaz: https://doaj.org/article/a1563526e6ce4930a91bc80833b8bc34

Characterization of Different User Behaviors for Demand Response in Data Centers

Autor: Jean-Marc PIERSON, Maël Madon, Georges Da Costa

Publikováno v: Euro-Par 2022: Parallel Processing ISBN: 9783031125966

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e6de6c3fd955f1a3032b599505b68a43
https://doi.org/10.1007/978-3-031-12597-3_4

Horizontal Scaling in Cloud Using Contextual Bandits

Autor: André Bottaro, Patricia Stolf, David Delande, Raphaël Feraud, Jean-Marc Pierson

Publikováno v: Euro-Par 2021: Parallel Processing-27th International Conference on Parallel and Distributed Computing, Lisbon, Portugal, September 1–3, 2021, Proceedings ; ISBN: 978-3-030-85665-6
27th International Conference on Parallel and Distributed Computing (Euro-Par 2021)
27th International Conference on Parallel and Distributed Computing (Euro-Par 2021), INESC-ID, Lisbon, Portugal; Instituto Superior Técnico (IST),Lisbon, Portugal, Sep 2021, Lisbon (Online Event), Portugal. pp.285-300, ⟨10.1007/978-3-030-85665-6_18⟩
Euro-Par 2021: Parallel Processing ISBN: 9783030856649
Euro-Par

International audience; One characteristic of the Cloud is elasticity: it provides the ability to adapt resources allocated to applications as needed at runtime. This capacity relies on scaling and scheduling. In this article online horizontal scalin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::928cf0088ef38fe3f4fb1c06534ea28a
https://hal.archives-ouvertes.fr/hal-03407934

A survey of challenges and solutions for the integration of renewable energy in datacenters

Autor: Gwilherm Baudic, M. Haddad, Jean-Marc Nicod, Jean-Marc Pierson, J. Lecuivre, A. Kassab, Gustavo Rostirolla, Veronika Rehn-Sonigo, G. Da Costa, Laurent Philippe, Berk Celik, Robin Roche, T. Minh-Thuyen, Stephane Caux, Léo Grange, Patricia Stolf

Publikováno v: Renewable and Sustainable Energy Reviews
Renewable and Sustainable Energy Reviews, 2021, 155, pp.111787-111805. ⟨10.1016/j.rser.2021.111787⟩
Renewable and Sustainable Energy Reviews, Elsevier, In press, pp.111787. ⟨10.1016/j.rser.2021.111787⟩

In Press, Corrected Proof; International audience; As more and more activities are moving online, the need for datacenters is increasing which raises their energy consumption and the resulting greenhouse gas emissions. The supply of datacenters with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5faf5360682939213da9e9a307ff851a
https://hal.science/hal-03549336

Integrating Pre-Cooling of Data Center operated with Renewable Energies

Autor: Mael Madon, Jean-Marc Pierson

Publikováno v: iThings/GreenCom/CPSCom/SmartData/Cybermatics
HAL
IEEE International Conference on Green Computing and Communications (GreenCom 2020)
IEEE International Conference on Green Computing and Communications (GreenCom 2020), Nov 2020, Rhodes Island, Greece

International audience; Recently, integrating renewable energies in data centers has gained interest in the research community. Most researchers focus on the joint management of the IT and electrical infrastructures, few integrate cooling explicitly

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63e02f6e968d0e1f727da956ca71c76a
https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00068