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Issam Raïs
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2020 – today
- 2024
- [c27]Jolan Philippe, Antoine Omond, Hélène Coullon, Charles Prud'homme, Issam Raïs:
Fast Choreography of Cross-DevOps Reconfiguration with Ballet: A Multi-Site OpenStack Case Study. SANER 2024: 1-11 - 2023
- [c26]Loic Guegan, Issam Raïs, Otto J. Anshus:
(POSTER) Towards Data Dissemination Policy Prediction for Constrained Environments Using Analytics. DCOSS-IoT 2023: 68-70 - [c25]Loic Guegan, Issam Raïs, Otto J. Anshus:
Validation of ESDS Using Epidemic-Based Data Dissemination Algorithms. DCOSS-IoT 2023: 277-284 - [c24]Steffen Randrup, John Markus Bjørndalen, Issam Raïs, Phuong Hoai Ha, Otto J. Anshus:
Weather-Aware Wake-Up of Sleeping Cyber-Physical IoT Nodes. DCOSS-IoT 2023: 445-452 - [c23]Salma Tofaily, Issam Raïs, Otto J. Anshus:
Quantifying the Variability of Power and Energy Consumption for IoT Edge Nodes. DCOSS-IoT 2023: 577-584 - [c22]Antoine Omond, Hélène Coullon, Issam Raïs, Otto J. Anshus:
Leveraging Relay Nodes to Deploy and Update Services in a CPS with Sleeping Nodes. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 532-539 - [c21]Salma Tofaily, Issam Raïs, Otto J. Anshus:
Representing Power Variability of an Idle IoT Edge Node in the Power State Model. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 540-546 - [c20]Loic Guegan, Issam Raïs:
Simulation of Distributed Systems in Constrained Environments Using ESDS: the Arctic Tundra Case. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 547-554 - [c19]Antoine Omond, Issam Raïs, Hélène Coullon:
Evaluating the energy consumption of adaptation tasks for a CPS in the Arctic Tundra. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 681-688 - [c18]Loic Guegan, Salma Tofaily, Issam Raïs:
Design and Evaluation of Single-Board Computer Based Power Monitoring for IoT and Edge Systems. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 716-723 - 2022
- [c17]Issam Raïs, Loic Guegan, Otto J. Anshus:
Impact of loosely coupled data dissemination policies for resource challenged environments. CCGRID 2022: 524-533 - [c16]Lukasz Sergiusz Michalik, Loic Guegan, Issam Raïs, Otto J. Anshus, John Markus Bjørndalen:
LoRaLitE: LoRa protocol for Energy-Limited environments. MASCOTS 2022: 73-80 - 2021
- [c15]Michael J. Murphy, Øystein Tveito, Eivind Flittie Kleiven, Issam Raïs, Eeva M. Soininen, John Markus Bjørndalen, Otto J. Anshus:
Experiences Building and Deploying Wireless Sensor Nodes for the Arctic Tundra. CCGRID 2021: 376-385 - [c14]Roberth Tollefsen, Issam Raïs, John Markus Bjørndalen, Phuong Hoai Ha, Otto J. Anshus:
Distribution of Updates to IoT Nodes in a Resource-Challenged Environment. CCGRID 2021: 684-689 - [c13]Steffen Randrup, Issam Raïs, John Markus Bjørndalen, Phuong Hoai Ha, Otto J. Anshus:
Impact of image compression on CNN performance metrics for CPS nodes at the Arctic Tundra. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2021: 290-297 - 2020
- [c12]Issam Raïs, Otto J. Anshus, John Markus Bjørndalen, Daniel Balouek-Thomert, Manish Parashar:
Trading Data Size and CNN Confidence Score for Energy Efficient CPS Node Communications. CCGRID 2020: 469-478
2010 – 2019
- 2019
- [j3]Joao Vicente Ferreira Lima, Issam Raïs, Laurent Lefèvre, Thierry Gautier:
Performance and energy analysis of OpenMP runtime systems with dense linear algebra algorithms. Int. J. High Perform. Comput. Appl. 33(3) (2019) - [c11]Issam Raïs, John Markus Bjørndalen, Phuong Hoai Ha, Ken-Arne Jensen, Lukasz Sergiusz Michalik, Håvard Mjøen, Øystein Tveito, Otto J. Anshus:
UAVs as a Leverage to Provide Energy and Network for Cyber-Physical Observation Units on the Arctic Tundra. DCOSS 2019: 625-632 - [c10]Issam Raïs, Daniel Balouek-Thomert, Anne-Cécile Orgerie, Laurent Lefèvre, Manish Parashar:
Leveraging energy-efficient non-lossy compression for data-intensive applications. HPCS 2019: 463-469 - 2018
- [b1]Issam Raïs:
Discover, model and combine energy leverages for large scale energy efficient infrastructures. (Découvrir, modéliser et combiner des leviers énergétiques pour des infrastructures de calculs basse consommation). University of Lyon, France, 2018 - [j2]Issam Raïs, Anne-Cécile Orgerie, Martin Quinson, Laurent Lefèvre:
Quantifying the impact of shutdown techniques for energy-efficient data centers. Concurr. Comput. Pract. Exp. 30(17) (2018) - [j1]Anne Benoit, Laurent Lefèvre, Anne-Cécile Orgerie, Issam Raïs:
Reducing the energy consumption of large-scale computing systems through combined shutdown policies with multiple constraints. Int. J. High Perform. Comput. Appl. 32(1): 176-188 (2018) - [c9]Issam Raïs, Eddy Caron, Laurent Lefèvre:
Thermal aware scheduling on distributed computing water heaters. CCNC 2018: 1-4 - [c8]Issam Raïs, Laurent Lefèvre, Anne-Cécile Orgerie, Anne Benoit:
Exploiting the Table of Energy and Power Leverages. ICA3PP (3) 2018: 175-185 - [c7]Issam Raïs, Mathilde Boutigny, Laurent Lefèvre, Anne-Cécile Orgerie, Anne Benoit:
Building the Table of Energy and Power Leverages for Energy Efficient Large Scale Systems. HPCS 2018: 284-291 - [c6]Issam Raïs, Hélène Coullon, Laurent Lefèvre, Christian Pérez:
Automatic Energy Efficient HPC Programming: A Case Study. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 995-1002 - 2017
- [c5]Pierre-François Dutot, Yiannis Georgiou, David Glesser, Laurent Lefèvre, Millian Poquet, Issam Raïs:
Towards Energy Budget Control in HPC. CCGrid 2017: 381-390 - [c4]Anne Benoit, Laurent Lefèvre, Anne-Cécile Orgerie, Issam Raïs:
Shutdown Policies with Power Capping for Large Scale Computing Systems. Euro-Par 2017: 134-146 - [c3]João V. F. Lima, Issam Raïs, Laurent Lefèvre, Thierry Gautier:
Performance and Energy Analysis of OpenMP Runtime Systems with Dense Linear Algebra Algorithms. SBAC-PAD (Workshops) 2017: 7-12 - 2016
- [c2]Issam Raïs, Anne-Cécile Orgerie, Martin Quinson:
Impact of Shutdown Techniques for Energy-Efficient Cloud Data Centers. ICA3PP 2016: 203-210 - [c1]Issam Raïs, Laurent Lefèvre, Anne-Cécile Orgerie, Anne Benoit:
An analysis of the feasibility of energy harvesting with thermoelectric generators on petascale and exascale systems. HPCS 2016: 808-813
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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