Publications
International Conferences and Workshops with Selection Panels and Proceedings
- Zeina Houmani, Daniel Balouek-Thomert, Eddy Caron, Manish Parashar
Enhancing microservices architectures using data-driven discovery and QoS guarantees
In CCGRID 2020: The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, Melbourne, Australia - Issam Rais, Otto Anshus, John Markus Bjørndalen, Daniel Balouek-Thomert, Manish Parashar
Trading Data Size and CNN Confidence Score for Energy Efficient CPS Node Communications
In CCGRID 2020: The 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, Melbourne, Australia - Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero and Alexandre Termier
A Decentralized Multi-Sensor Machine Learning Approach for Earthquake Early Warning
To appear In AAAI-20: The 34th AAAI Conference on Artificial Intelligence, New-York, USA [preprint] - Eduard Gibert Renart, Alexandre da Silva Veith, Daniel Balouek-Thomert, Marcos Dias de Assunção, Laurent Lefèvre and Manish Parashar
Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources
In CCGRID 2019: The 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing, Cyprus, May 2019 - Issam Raïs, Daniel Balouek-Thomert, Anne-Cécile Orgerie, Laurent Lefèvre, Manish Parashar.
Leveraging energy-efficient non-lossy compression for data-intensive applications
In HPCS 2019 – 17th International Conference on High Performance Computing & Simulation, Jul 2019, Dublin, Ireland. pp.1-7. - Ioan Petri, Ali Reza Zamani, Daniel Balouek-Thomert, Omer Rana, Yacine Rezgui, Manish Parashar
Ensemble-Based Network Edge Processing
In UCC 2018: The 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing, Zurich, Switzerland, December 2018 - Ali Reza Zamani, Daniel Balouek-Thomert, JJ Villalobos, Ivan Rodero, Manish Parashar
Runtime Management of Data Quality for Scientific Observatories Using Edge and In-Transit Resources
In SBACPAD 2018: 30th International Symposium on Computer Architecture and High Performance Computing, Lyon, France, September 2018 - Muhammad Ali, Ashiq Anjum, M.U Yaseen, Ali Reza Zamani, Daniel Balouek-Thomert, Omer Rana, Manish Parashar
Edge Enhanced Deep Learning System for Large-scale Video Stream Analytics
In ICFEC 2018: The 2nd IEEE International Conference on Fog and Edge Computing, Washington, United States, May 2018 - Ali Reza Zamani, Moustafa AbdelBaky, Daniel Balouek-Thomert, Ivan Rodero, Manish Parashar
Submarine: A Subscription-based Data Streaming Framework for Integrating Large Facilities and Advanced Cyberinfrastructure
In DataCloud 2017: The Eighth International Workshop on Data-Intensive Computing in the Clouds, Denver, United States, November 2017 [link]@unknown{unknown,
author = {Zamani, Ali Reza and Abdelbaky, Moustafa and Balouek-Thomert, Daniel and Villalobos, J. J. and Rodero, Ivan and Parashar, Manish},
year = {2017},
month = {11},
pages = {},
title = {Submarine: A Subscription-based Data Streaming Framework for Integrating Large Facilities and Advanced Cyberinfrastructure}
} - Ali Reza Zamani, Moustafa AbdelBaky, Daniel Balouek-Thomert, Ivan Rodero, Manish Parashar
Supporting Data-Driven Workflows Enabled by Large Scale Observatories
In e-Science 2017: IEEE 13th International Conference on e-Science, Auckland, New Zealand, October 2017 [link]@INPROCEEDINGS{8109200,
author={A. R. Zamani and M. AbdelBaky and D. Balouek-Thomert and I. Rodero and M. Parashar},
booktitle={2017 IEEE 13th International Conference on e-Science (e-Science)},
title={Supporting Data-Driven Workflows Enabled by Large Scale Observatories},
year={2017},
volume={},
number={},
pages={592-595},
keywords={data handling;distributed sensors;geophysics computing;oceanographic techniques;scientific information systems;workflow management software;automatic integration;geographically distributed sensors;large-scale science;ocean observatory initiative;open access;runtime management services;scale observatories;scientific discovery;scientific workflows;supporting data-driven workflows;Data processing;Distributed databases;Monitoring;Observatories;Oceans;Quality of service;Runtime;Data-driven workflows;Large scale observatories;Large-scale science;Wide-area data analytics},
doi={10.1109/eScience.2017.95},
ISSN={},
month={Oct},} - Eduard Renart, Daniel Balouek-Thomert, Xuan Hu, Jie Gong, Manish Parashar
Online Decision-Making Using Edge Resources for Content-Driven Stream Processing
In e-Science 2017: 13th International Conference on e-Science, Auckland, New Zealand, October 2017 [link]@INPROCEEDINGS{8109157,
author={E. Renart and D. Balouek-Thomert and X. Hu and J. Gong and M. Parashar},
booktitle={2017 IEEE 13th International Conference on e-Science (e-Science)},
title={Online Decision-Making Using Edge Resources for Content-Driven Stream Processing},
year={2017},
volume={},
number={},
pages={384-392},
keywords={Internet of Things;data handling;decision making;disasters;emergency management;resource allocation;Internet of Things;IoT applications;application objectives;data stream;disaster response application usecase;edge resources;event-driven runtime;online data;online data-driven monitoring;online decision-making;resource-aware processing;stream processing engines;temporal characteristics;Cloud computing;Engines;Image edge detection;Laser radar;Programming;Runtime;Storms},
doi={10.1109/eScience.2017.52},
ISSN={},
month={Oct},} - Eduard Renart, Daniel Balouek-Thomert, Manish Parashar
Pulsar: Enabling Dynamic Data-Driven IoT Applications
In FAS*W 2017: The IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, Tucson, United States, September 2017 [link]@INPROCEEDINGS{8064149,
author={E. Renart and D. Balouek-Thomert and M. Parashar},
booktitle={2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W)},
title={Pulsar: Enabling Dynamic Data-Driven IoT Applications},
year={2017},
volume={},
number={},
pages={357-359},
keywords={Internet of Things;data handling;mobile computing;Internet of Things;Pulsar;content aware processing;data processing;data streams;data-driven framework;dynamic data-driven IoT applications;edge resource leveraging;location aware processing;Conferences;Engines;Real-time systems;Research and development;Scalability;Semantics;Uncertainty}, doi={10.1109/FAS-W.2017.173},
ISSN={},
month={Sept},} - Daniel Balouek-Thomert, Arya K. Bhattacharya, Eddy Caron, Gadireddy Karunakar, Laurent Lefèvre
Parallel Differential Evolution approach for Cloud workflow placements under simultaneous optimization of multiple objectives
In CEC 2016: The IEEE Congress on Evolutionary Computation, Vancouver, Canada, July 2016 [link]@inproceedings{balouekthomert:hal-01289176,
TITLE = {Parallel Differential Evolution approach for Cloud workflow placements under simultaneous optimization of multiple objectives},
AUTHOR = {Balouek-Thomert, Daniel and Bhattacharya, Arya K. and Caron, Eddy and Karunakar, Gadireddy and Lef{\`e}vre, Laurent},
URL = {https://hal.inria.fr/hal-01289176},
BOOKTITLE = {Congress on Evolutionary Computation (IEEE CEC 2016)},
ADDRESS = {Vancouver, Canada},
YEAR = {2016},
MONTH = Jul,
KEYWORDS = {Parallel computing ; workflow placement ; cloud computing ; Differential Evolution ; multi-objective evolutionary algorithm ; Pareto front convergence.},
HAL_ID = {hal-01289176},
HAL_VERSION = {v1},
} - Daniel Balouek-Thomert, Eddy Caron, Pascal Gallard, Laurent Lefevre
Nu@ge: Towards a solidary and responsible cloud computing service. Best Paper Award
In CLOUDTECH 2015: The International Conference of Cloud Computing Technologies and Applications, Marrakesh, Morocco, June 2015 [link]@inproceedings{balouekthomert:hal-01196898,
TITLE = {Nu@ge: Towards a solidary and responsible cloud computing service},
AUTHOR = {Balouek-Thomert, Daniel and Caron, Eddy and Gallard, Pascal and Lef{\`e}vre, Laurent},
URL = {https://hal.inria.fr/hal-01196898},
BOOKTITLE = {CloudTech’2015},
ADDRESS = {Marrakesh, Morocco},
YEAR = {2015},
MONTH = Jun,
KEYWORDS = {Cloud federation ; Iaas ; Energy-aware scheduling},
PDF = {https://hal.inria.fr/hal-01196898/file/cloudtech2015.pdf},
HAL_ID = {hal-01196898},
HAL_VERSION = {v1},
} - Daniel Balouek-Thomert, Eddy Caron, Laurent Lefevre
Energy-Aware Server Provisioning by Introducing Middleware-Level Dynamic Green Scheduling
In HPPAC 2015: The 11th Workshop on High-Performance, Power-Aware Computing, Hyderabad, India, May 2015 [link]@inproceedings{BCL15,
Address = {Hyderabad, India },
Author = {Balouek-Thomert, Daniel and Caron, Eddy and Lefevre, Laurent},
Booktitle = {Workshop HPPAC’15. High-Performance, Power-Aware Computing},
Keywords = {DIET, Green, Energy},
Month = may,
Note = {To appear},
Organization = {In conjunction with IPDPS 2015},
Title = {Energy-Aware Server Provisioning by Introducing Middleware-Level Dynamic Green Scheduling},
Year = 2015} - Flavien Quesnel, Adrien Lèbre, Jonathan Pastor, Mario Südholt, Daniel Balouek
Advanced Validation of the DVMS Approach to Fully Distributed VM Scheduling
In ISPA’ 13: The 11th IEEE International Symposium on Parallel and Distributed Processing with Applications, Melbourne, Australia, July 2013 [link]@inproceedings{quesnel:hal-00817369,
hal_id = {hal-00817369},
url = {http://hal.inria.fr/hal-00817369},
title = “Advanced Validation of the DVMS Approach to Fully Distributed VM Scheduling”,
author = {Quesnel, Flavien and L{\`e}bre, Adrien and Pastor, Jonathan and S{\”u}dholt, Mario and Balouek, Daniel}, abstract = “The holy grail for Infrastructure as a Service (IaaS) providers is to maximize the utilization of their infrastructure while ensuring the quality of service (QoS) for the virtual machines they host. Although the frameworks in charge of managing virtual machines (VM) on pools of physical ones (PM) have been significantly improved, enabling to manage large- scale infrastructures composed of hundreds of PMs, most of them do not efficiently handle the aforementioned objective. The main reason is that advanced scheduling policies are subject to important and hard scalability problems, that become even worse when VM image transfers have to be considered. In this article, we provide a new validation of the Distributed VM Scheduler approach (DVMS) in a twofold manner. First, we provide a formal proof of the algorithm based on temporal logic. Second, we discuss large-scale evaluations involving up to 4.7K VMs distributed over 467 nodes of the Grid’5000 testbed. As far as we know, these experiments constitute the largest in vivo validation that has been performed so far with decentralized VM schedulers. These results show that a cooperative approach such as ours permits to fix overload problems in a reactive and scalable way.”,
keywords = {virtualization; distributed infrastructures; dy- namic scheduling; multi-agent systems; event-based systems; cooperative systems; autonomous systems; scalability; reactivity},
language = {Anglais},
affiliation = {ASCOLA – INRIA – EMN , Laboratoire d’Informatique de Nantes Atlantique – LINA , Laboratoire de l’Informatique du Parall{\’e}lisme – LIP},
booktitle = “ISPA’ 13: The 11th IEEE International Symposium on Parallel and Distributed Processing with Applications”,
address = {Melbourne, Australie},
audience = {internationale },
collaboration = {Grid’5000, HEMERA },
year = {2013},
month = Jul,
}
International Journals
- I. Petri, O. Rana, L. F. Bittencourt, D. Balouek-Thomert, and M. Parashar
Autonomics at the Edge: Resource Orchestration for Edge Native Applications
IEEE Internet Computing, 2020 [link] - D Balouek-Thomert, EG Renart, AR Zamani, A Simonet, M Parashar
Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows
The International Journal of High Performance Computing Applications, 2019 [link]Failure analysis plays an important role in the reliability of data centers and high-performance computing (HPC) systems. Recent work have shown that both resource use data and failure logs can, separately and together, be used to detect system failure-inducing errors and diagnose system failures; the result of error propagation and (unsuccessful) execution of error recovery mechanisms. For more accurate and detailed failure diagnosis, knowledge of error propagation patterns and unsuccessful error recovery is important. To improve system reliability, knowledge of recovery protocols deployment is important. This paper describes and demonstrates application of a new diagnostics framework (CORRMEXT). CORRMEXT analyzes and reports error propagation patterns and degrees of success and failure of error recovery protocols. - Edward Chuah, Arshad Jhumka, Samantha Alt, Daniel Balouek-Thomert, James C Browne, Manish Parashar
Towards comprehensive dependability-driven resource use and message log-analysis for HPC systems diagnosis
Journal of Parallel and Distributed Computing (JPDC), USA, 2019 [link]Failure analysis plays an important role in the reliability of data centers and high-performance computing (HPC) systems. Recent work have shown that both resource use data and failure logs can, separately and together, be used to detect system failure-inducing errors and diagnose system failures; the result of error propagation and (unsuccessful) execution of error recovery mechanisms. For more accurate and detailed failure diagnosis, knowledge of error propagation patterns and unsuccessful error recovery is important. To improve system reliability, knowledge of recovery protocols deployment is important. This paper describes and demonstrates application of a new diagnostics framework (CORRMEXT). CORRMEXT analyzes and reports error propagation patterns and degrees of success and failure of error recovery protocols. - Ali Reza Zamani, Daniel Balouek-Thomert, JJ Villalobos, Ivan Rodero, Manish Parashar
Submarine: A Subscription-based Data Streaming Framework for Integrating Large Facilities and Advanced Cyberinfrastructure
Concurrency and Computation: Practice and Experience (CCPE), John Wiley and Sons, Ltd, USA, 2019 - Balouek-Thomert, Daniel and Caron, Eddy and Gallard, Pascal and Lefèvre, Laurent
Nu@ge : A container-based cloud computing service federation
Concurrency and Computation: Practice and Experience (CCPE), John Wiley and Sons, Ltd, USA, 2017 [DOI]@article {CPE:CPE4049,
author = {Balouek-Thomert, Daniel and Caron, Eddy and Gallard, Pascal and Lefèvre, Laurent},
title = {Nu@ge: A container-based cloud computing service federation},
journal = {Concurrency and Computation: Practice and Experience},
publisher = {John Wiley & Sons, Ltd},
issn = {1532-0634},
url = {http://dx.doi.org/10.1002/cpe.4049},
doi = {10.1002/cpe.4049},
pages = {e4049–n/a},
keywords = {cloud federation, energy-aware scheduling, IaaS},
year = {2017},
note = {e4049 cpe.4049},
}
Book chapters
- Daniel Balouek, Alexandra Carpen Amarie, Ghislain Charrier, Frédéric Desprez, Emmanuel Jeannot, Emmanuel Jeanvoine, Adrien Lèbre, David Margery, Nicolas Niclausse, Lucas Nussbaum, Olivier Richard, Christian Pérez, Flavien Quesnel, Cyril Rohr, Luc Sarzyniec
Adding Virtualization Capabilities to the Grid’5000 Testbed
Cloud Computing and Services Science, vol 367, pp 3-20, Springer International Publishing, 2013 [hal] [DOI]@incollection{
year={2013},
isbn={978-3-319-04518-4},
booktitle={Cloud Computing and Services Science},
volume={367},
series={Communications in Computer and Information Science},
editor={Ivanov, IvanI. and Sinderen, Marten and Leymann, Frank and Shan, Tony},
doi={10.1007/978-3-319-04519-1_1},
title={Adding Virtualization Capabilities to the Grid’5000 Testbed},
url={http://dx.doi.org/10.1007/978-3-319-04519-1_1},
publisher={Springer International Publishing},
keywords={Distributed Systems; Large-Scale Testbed; Virtualization; Cloud Computing; Experiments},
author={Balouek, Daniel and Amarie, AlexandraCarpen and Charrier, Ghislain and Desprez, Frédéric and Jeannot, Emmanuel and Jeanvoine, Emmanuel and Lèbre, Adrien and Margery, David and Niclausse, Nicolas and Nussbaum, Lucas and Richard, Olivier and Perez, Christian and Quesnel, Flavien and Rohr, Cyril and Sarzyniec, Luc},
pages={3-20}
}
International Conferences with Selection panels, without Proceedings
- Daniel Balouek, Adrien Lèbre, Flavien Quesnel
Flauncher and DVMS — Deploying and Scheduling Thousands of Virtual Machines on Hundreds of Nodes Distributed Geographically
Finalist of the IEEE International Scalable Computing Challenge (SCALE 2013), held in conjunction with CCGrid’2013. [hal]%% hal-00920094, version 1 %% http://hal.inria.fr/hal-00920094 @inproceedings{balouek:hal-00920094,
hal_id = {hal-00920094},
url = {http://hal.inria.fr/hal-00920094},
title = “Flauncher and DVMS — Deploying and Scheduling Thousands of Virtual Machines on Hundreds of Nodes Distributed Geographically”, author = {Balouek, Daniel and L{\`e}bre, Adrien and Quesnel, Flavien},
abstract = “Although live migration of virtual machines has been an active area of research over the past decade, it has been mainly evaluated by means of simulations and small scale deployments. Proving the relevance of live migration at larger scales is a technical challenge that requires to be able to deploy and schedule virtual machines. In the last year, we succeeded to tackle such a challenge by conducting experiments with Flauncher and DVMS, two frameworks that can respectively deploy and schedule thousands of virtual machines over hundreds of nodes distributed geographically across the Grid’5000 testbed.”,
language = {Anglais},
affiliation = {AVALON – LIP Lyon / Inria Grenoble Rh{\^o}ne-Alpes , ASCOLA – INRIA – EMN , Laboratoire d’Informatique de Nantes Atlantique – LINA},
booktitle = {IEEE International Scalable Computing Challenge (SCALE 2013), held in conjunction with CCGrid’2013},
address = {Delft, Pays-Bas},
audience = {internationale },
collaboration = {Grid’5000, INRIA Large Scale Initiative Hemera },
year = {2013},
pdf = {http://hal.inria.fr/hal-00920094/PDF/main.pdf},
}
National Conferences with Selection panels
- Daniel Balouek-Thomert, Eddy Caron, Laurent Lefèvre
Gestion adaptative de l’énergie pour les infrastructures de type grappe ou nuage
In comPAS’2014: Conference on Computer Science Conference in Parallel Computing, Computer Architecture and Computer Systems [hal]@inproceedings{balouekthomert:hal-01018238, hal_id = {hal-01018238}, url = {http://hal.inria.fr/hal-01018238}, title = {Gestion adaptative de l'{\’e}nergie pour les infrastructures de type grappe ou nuage}, author = {Balouek-Thomert, Daniel and Caron, Eddy and Lef{\`e}vre, Laurent}, abstract = {Dans un contexte d’utilisation de ressources h{\’e}t{\’e}rog{\`e}nes, la performance reste le crit{\`e}re traditionnel pour la planification de capacit{\’e}. Mais, de nos jours, tenir compte de la variable {\’e}nerg{\’e}tique est devenu une n{\’e}cessit{\’e}. Cet article s’attaque au probl{\`e}me de l’efficacit{\’e} {\’e}nerg{\’e}tique pour la r{\’e}partition de charge dans les syst{\`e}mes distribu{\’e}s. Nous proposons une gestion efficace en {\’e}nergie des ressources par l’ajout de fonctionnalit{\’e}s de gestion des {\’e}v{\`e}nements li{\’e}s {\`a} l'{\’e}nergie, selon des r{\`e}gles d{\’e}finies par l’utilisateur. Nous impl{\’e}mentons ces fonctionnalit{\’e}s au sein de l’intergiciel DIET, qui permet de g{\’e}rer la r{\’e}partition de charge afin de mettre en {\’e}vidence le cout des compromis entre la performance et la consommation d'{\’e}nergie. Notre solution et son int{\’e}r{\^e}t sont valid{\’e}s au travers d’exp{\’e}riences en {\’e}valuant la performance et la consommation {\’e}lectrique mettant en concurrence trois politiques d’ordonnancement. Nous mettons en avant le gain obtenu en terme {\’e}nerg{\’e}tique tout en essayant de minimiser les {\’e}carts de performance. Nous offrons {\’e}galement {\`a} l’intergiciel responsable de l’ordonnancement une r{\’e}activit{\’e} face aux variations {\’e}nerg{\’e}tiques.}, keywords = {Syst{\`e}mes distribu{\’e}s, efficacit{\’e} {\’e}nerg{\’e}tique, r{\’e}partition de charge, planification de capacit{\’e}, language = {Fran{\c c}ais}, affiliation = {AVALON – LIP Lyon / Inria Grenoble Rh{\^o}ne-Alpes , NewGeneration SR}, booktitle = {Conf{\’e}rence d’informatique en Parall{\’e}lisme, Architecture et Syst{\`e}me (ComPAS’2014)}, address = {Neuch{\^a}tel, Suisse}, audience = {nationale }, year = {2014}, pdf = {http://hal.inria.fr/hal-01018238/PDF/compas2014.pdf}, }
National Journals
- Reda Ahroum, Daniel Balouek, Keiji Hokamura, Shin Nakajima and Naoyasu Ubayashi
Aspectual Encapsulation of Web Application Features
IEICE. SS 109(231),pp 13-18, 2009 [CiNii] [pdf]@article{AHROUMReda:2009-10-08,
author=”AHROUM, Reda and HOKAMURA, Keiji and BALOUEK, Daniel and NAKAJIMA, Shin and UBAYASHI, Naoyasu”,
title=”Aspectual Encapsulation of Web Application Features”,
journal=”Technical report of IEICE. SS”,
ISSN=”09135685″,
publisher=”The Institute of Electronics, Information and Communication Engineers”,
year=”2009″,
month=”oct”,
volume=”109″,
number=”231″,
pages=”13-18″,
URL=”http://ci.nii.ac.jp/naid/110007483195/en/”,
DOI=””,
}
PhD Thesis
- Daniel Balouek-Thomert
Scheduling on Clouds considering energy consumption and performance trade-offs : from modelization to industrial applications
defended on 05-12-2016 in Lyon , under the authority of École doctorale en Informatique et Mathématiques de Lyon , in a partnership with École normale supérieure de Lyon (établissement opérateur d’inscription) , Laboratoire de l’informatique du parallélisme (Lyon) (laboratoire) and AVALON – Algorithms and Software Architectures for Distributed and HPC Platforms (laboratoire) .
[Manuscript] [Full Abstract]This thesis revolves around the energy efficiency of Cloud platforms by proposing an extensible and multi-criteria framework, which intends to improve the efficiency of an heterogeneous platform from an energy consumption perspective. I proposed an approach based on user involvement using the notion of a cursor offering the ability to aggregate cloud operator and end user preferences to establish scheduling policies. The objective is the right sizing of active servers and computing equipments while considering exploitation constraints, thus reducing the environmental impactassociated to energy wastage. This research work has been validated on experiments and simulations on the Grid’SOOO platform, the biggest shared network in Europe dedicated to research. It has been integrated to the DIET middleware, and a industrial valorisation has been done in the NUVEA commercial platform, which has been designed during this thesis. This platform constitutes an audit and optimization tool of large scale infrastructures for operators and end users.
Research and Technical Reports
- Eduard Gibert Renart, Daniel Balouek-Thomert, and Manish Parashar
Edge Based Data-Driven Pipelines
arXiv:1808.01353, August 2018 [arxiv] - Daniel Balouek, Alexandra Carpen Amarie, Ghislain Charrier, Frédéric Desprez, Emmanuel Jeannot, Emmanuel Jeanvoine, Adrien Lèbre, David Margery, Nicolas Niclausse, Lucas Nussbaum, Olivier Richard, Christian Pérez, Flavien Quesnel, Cyril Rohr, and Luc Sarzyniec
Adding Virtualization Capabilities to Grid’5000
Research Report RR-8026, INRIA, July 2012 [pdf]
(Invited to be published in Closer’2012 proceedings).@techreport{balouek:hal-00720910,
hal_id = {hal-00720910},
url = {http://hal.inria.fr/hal-00720910},
title = “Adding Virtualization Capabilities to Grid’5000”,
author = {Balouek, Daniel and Carpen Amarie, Alexandra and Charrier, Ghislain and Desprez, Fr{\’e}d{\’e}ric and Jeannot, Emmanuel and Jeanvoine, Emmanuel and L{\`e}bre, Adrien and Margery, David and Niclausse, Nicolas and Nussbaum, Lucas and Richard, Olivier and P{\’e}rez, Christian and Quesnel, Flavien and Rohr, Cyril and Sarzyniec, Luc},
abstract = “Almost ten years after its premises, the Grid’5000 testbed has become one of the most complete testbed for designing or evaluating large-scale distributed systems. Initially dedicated to the study of High Performance Computing, the infrastructure has evolved to address wider concerns related to Desktop Computing, the Internet of Services and more recently the Cloud Computing paradigm. This report present recent improvements of the Grid’5000 software and services stack to support large-scale experiments using virtualization technologies as building blocks. Such contributions include the deployment of customized software environments, the reservation of dedicated network domain and the possibility to isolate them from the others, and the automation of experiments with a REST API. We illustrate the interest of these contributions by describing three different use-cases of large-scale experiments on the Grid’5000 testbed. The first one leverages virtual machines to conduct larger experiments spread over 4000 peers. The second one describes the deployment of 10000 KVM instances over 4 Grid’5000 sites. Finally, the last use case introduces a one-click deployment tool to easily deploy major IaaS solutions. The conclusion highlights some important challenges of Grid’5000 related to the use of OpenFlow and to the management of applications dealing with tremendous amount of data”,
language = {Anglais},
affiliation = {Laboratoire de l’Informatique du Parall{\’e}lisme – LIP , MYRIADS – INRIA – IRISA , AVALON – LIP Lyon / Inria Grenoble Rh{\^o}ne-Alpes , RUNTIME – INRIA Bordeaux – Sud-Ouest , Laboratoire Lorrain de Recherche en Informatique et ses Applications – LORIA , ASCOLA – INRIA – EMN , Laboratoire d’Informatique de Nantes Atlantique – LINA , Service DREAM – INRIA Sophia Antipolis – M{\’e}diterran{\’e}e , ALGORILLE – INRIA Nancy – Grand Est / LORIA , Laboratoire d’Informatique de Grenoble – LIG , MAIA – INRIA Nancy – Grand Est / LORIA},
pages = {18},
type = {Rapport de recherche},
institution = {INRIA},
number = {RR-8026},
collaboration = {Grid’5000 },
year = {2012},
month = Jul,
pdf = {http://hal.inria.fr/hal-00720910/PDF/RR-8026.pdf},
}