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DIET Publications of year 2008
Articles in journals or book chapters
  1. Abelkader Amar, Raphaël Bolze, Yves Caniou, Eddy Caron, Benjamin Depardon, Frédéric Desprez, Jean-Sébastien Gay, Gaël Le Mahec, and David Loureiro. Tunable Scheduling in a GridRPC Framework. Concurrency and Computation: Practice and Experience, 20(9):1051--1069, 2008.
    Keywords: Scheduling, DIET, LEGO.
    @Article{ ArticleAmar.ABCCDDGL-ML_CCPE08,
    author = {Amar, Abelkader and Bolze, Rapha{\"e}l and Caniou, Yves and Caron, Eddy and Depardon, Benjamin and Desprez, Fr{\'e}d{\'e}ric and Gay, Jean-S{\'e}bastien and Le Mahec, Ga{\"e}l and Loureiro, David},
    journal = {Concurrency and Computation: Practice and Experience},
    keywords = {Scheduling, DIET, LEGO},
    number = {9},
    pages = {1051--1069},
    title = {Tunable Scheduling in a {GridRPC} Framework},
    volume = {20},
    year = 2008 
    }
    


  2. Eddy Caron, Andréea Chis, Frédéric Desprez, and Alan Su. Design of plug-in schedulers for a GridRPC environment. Future Generation Computer Systems, 24(1):46-57, January 2008.
    Keywords: Scheduling, DIET, LEGO.
    @Article{ ArticleCaron.CCDS_FGCS08,
    author = {Caron, Eddy and Chis, Andr{\'e}ea and Desprez, Fr{\'e}d{\'e}ric and Su, Alan},
    journal = {Future Generation Computer Systems},
    keywords = {Scheduling, DIET, LEGO},
    month = jan,
    number = 1,
    pages = {46-57},
    title = {Design of plug-in schedulers for a {GridRPC} environment},
    volume = 24,
    year = 2008 
    }
    


Conference articles
  1. Hrachya Astsatryan, Vladimir Sahakyan, Yuri Shoukouryan, Michel Daydé, Aurélie Hurault, Marc Pantel, and Eddy Caron. A Grid-Aware Web Interface with Advanced Service Trading for Linear Algebra Calculations. In 8th International Meeting High Performance Computing for Computational Science (VECPAR'08), Toulouse, pages 106-113, June 2008.
    Keywords: DIET, LEGO.
    @InProceedings{ InProceedingsAstsatryan.ASSDHPC_08,
    address = {Toulouse},
    author = {Astsatryan, Hrachya and Sahakyan, Vladimir and Shoukouryan, Yuri and Dayd{\'e}, Michel and Hurault, Aur{\'e}lie and Pantel, Marc and Caron, Eddy},
    booktitle = {8th International Meeting High Performance Computing for Computational Science (VECPAR'08)},
    keywords = {DIET, LEGO},
    month = jun,
    pages = {106-113},
    title = {A Grid-Aware Web Interface with Advanced Service Trading for Linear Algebra Calculations},
    year = 2008 
    }
    


  2. Yves Caniou, Eddy Caron, Ghislain Charrier, Andréea Chis, Frédéric Desprez, and Eric Maisonnave. Ocean-Atmosphere Modelization over the Grid. In Wu-chi Feng and Yuanyuan Yang, editors, The 37th International Conference on Parallel Processing (ICPP 2008), Portland, Oregon. USA, pages 206-213, September 2008. IEEE.
    Keywords: LEGO, DIET.
    @InProceedings{ InProceedingsCaniou.CCCCDM_08,
    address = {Portland, Oregon. USA},
    author = {Caniou, Yves and Caron, Eddy and Charrier, Ghislain and Chis, Andr{\'e}ea and Desprez, Fr{\'e}d{\'e}ric and Maisonnave, Eric},
    booktitle = {The 37th International Conference on Parallel Processing (ICPP 2008)},
    editor = {Feng, Wu-chi and Yang, Yuanyuan},
    keywords = {LEGO, DIET},
    month = sep,
    organization = {IEEE},
    pages = {206-213},
    title = {Ocean-Atmosphere Modelization over the Grid},
    year = 2008 
    }
    


  3. Yves Caniou, Eddy Caron, Ghislain Charrier, Frédéric Desprez, Eric Maisonnave, and Vincent Pichon. Ocean-Atmosphere Application Scheduling within DIET. In APDCT-08 Symposium. International Symposium on Advanced in Parallel and Distributed Computing Techniques, Sydney. Australia., pages 675-680, December 2008. In conjunction with ISPA'2008, IEEE Computer Society.
    Note: Invited paper from the reviewed process of ISPA'08.
    Keywords: DIET, LEGO.
    @InProceedings{ InProceedingsCaniou.CCCDMP_08,
    address = {Sydney. Australia.},
    author = {Caniou, Yves and Caron, Eddy and Charrier, Ghislain and Desprez, Fr{\'e}d{\'e}ric and Maisonnave, Eric and Pichon, Vincent},
    booktitle = {APDCT-08 Symposium. International Symposium on Advanced in Parallel and Distributed Computing Techniques},
    keywords = {DIET, LEGO},
    month = dec,
    note = {Invited paper from the reviewed process of ISPA'08},
    organization = {In conjunction with ISPA'2008},
    pages = {675-680},
    publisher = {IEEE Computer Society},
    title = {Ocean-Atmosphere Application Scheduling within DIET},
    year = 2008 
    }
    


  4. Eddy Caron, Pushpinder Kaur Chouhan, and Frédéric Desprez. Automatic Middleware Deployment Planning on Heterogeneous Platfoms. In The 17th Heterogeneous Computing Workshop (HCW'08), Miami, Florida, April 2008. In conjunction with IPDPS 2008.
    Keywords: Deployment, ASP, Grid computing, DIET, LEGO.
    @InProceedings{ InProceedingsCaron.CCD_08,
    address = {Miami, Florida},
    author = {Caron, Eddy and Chouhan, Pushpinder Kaur and Desprez, Fr{\'e}d{\'e}ric},
    booktitle = {The 17th Heterogeneous Computing Workshop (HCW'08)},
    keywords = {Deployment, ASP, Grid computing, DIET, LEGO},
    month = apr,
    organization = {In conjunction with IPDPS 2008},
    title = {Automatic Middleware Deployment Planning on Heterogeneous Platfoms},
    year = 2008 
    }
    


  5. Eddy Caron, Frédéric Desprez, and David Loureiro. All-in-one Graphical Tool for the management of DIET a GridRPC Middleware. In Norbert Meyer, Domenico Talia, and Ramin Yahyapour, editors, Grid and Services Evolution, Barcelona, Spain, pages 169-187, June 2008. CoreGRID Workshop on Grid Middleware (in conjunction with OGF'23), Springer.
    Keywords: DIET, LEGO, GWENDIA.
    Abstract: Grid middleware are the link between large scale (and distributed) platforms and applications. Managing such a software system and the grid environment itself can be a hard task when no dedicated (and integrated) tool exist. Some can be used through nice graphical interfaces, but they are usually dedicated to one or some limited tasks. They do not fulfill all the needs of a grid end-user who wants to deploy grid applications easily and rapidly. The aim of this paper is to present the case study of an all-in-one software system, designed for the management of a grid middleware and gathering user-friendly graphical interfaces answering to the various needs of end-users. Moreover the software system eases the use of the grid by avoiding the scripting layer under a nice GUI enabling the user a faster and more efficient use of the grid environment. By this means we demonstrate how the \ddb fulfills all the needs of a unified tool for grid management. This paper gives a comparison with existing and well-known tools dedicated to some specific tasks such as grid resources management, grid monitoring or middleware management.

    @InProceedings{ InProceedingsCaron.CDL_08,
    abstract = { Grid middleware are the link between large scale (and distributed) platforms and applications. Managing such a software system and the grid environment itself can be a hard task when no dedicated (and integrated) tool exist. Some can be used through nice graphical interfaces, but they are usually dedicated to one or some limited tasks. They do not fulfill all the needs of a grid end-user who wants to deploy grid applications easily and rapidly. The aim of this paper is to present the case study of an all-in-one software system, designed for the management of a grid middleware and gathering user-friendly graphical interfaces answering to the various needs of end-users. Moreover the software system eases the use of the grid by avoiding the scripting layer under a nice GUI enabling the user a faster and more efficient use of the grid environment. By this means we demonstrate how the \ddb fulfills all the needs of a unified tool for grid management. This paper gives a comparison with existing and well-known tools dedicated to some specific tasks such as grid resources management, grid monitoring or middleware management.},
    address = {Barcelona, Spain},
    author = {Caron, Eddy and Desprez, Fr{\'e}d{\'e}ric and Loureiro, David},
    booktitle = {Grid and Services Evolution},
    editor = {Meyer, Norbert and Talia, Domenico and Yahyapour, Ramin},
    keywords = {DIET,LEGO, GWENDIA},
    month = jun,
    organization = {CoreGRID Workshop on Grid Middleware (in conjunction with OGF'23)},
    pages = {169-187},
    publisher = {Springer},
    title = {All-in-one Graphical Tool for the management of DIET a {GridRPC} Middleware},
    year = 2008 
    }
    


  6. Ghislain Charrier. From Scheduling Theory to Practice: a Case Study. In The 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, Cergy-Pontoise. France, October 28-31 2008. ACM/IEEE.
    Keywords: DIET, Scheduling.
    @InProceedings{ InProceedingsCharrier.C_08,
    address = {Cergy-Pontoise. France},
    author = {Charrier, Ghislain},
    booktitle = {The 5th International Conference on Soft Computing as Transdisciplinary Science and Technology},
    keywords = {DIET, Scheduling},
    month = {October 28-31},
    organization = {ACM/IEEE},
    page = {581--582},
    title = {{From Scheduling Theory to Practice: a Case Study}},
    year = {2008} 
    }
    


  7. Frédéric Desprez, Eddy Caron, and Gaël Le Mahec. DAGDA: Data Arrangement for the Grid and Distributed Applications. In AHEMA 2008. International Workshop on Advances in High-Performance E-Science Middleware and Applications. In conjunction with eScience 2008, Indianapolis, Indiana, USA, pages 680-687, December 2008.
    Keywords: DIET, DAGDA, LEGO.
    @InProceedings{ InProceedingsDesprez.DCL-M_08,
    address = {Indianapolis, Indiana, USA},
    author = {Desprez, Fr{\'e}d{\'e}ric and Caron, Eddy and Le Mahec, Ga{\"e}l},
    booktitle = {AHEMA 2008. International Workshop on Advances in High-Performance E-Science Middleware and Applications. In conjunction with eScience 2008},
    keywords = {DIET, DAGDA, LEGO},
    month = dec,
    pages = {680-687},
    title = {DAGDA: Data Arrangement for the Grid and Distributed Applications},
    year = 2008 
    }
    


Internal reports
  1. Eddy Caron, Pushpinder Kaur Chouhan, and Frédéric Desprez. Automatic Middleware Deployment Planning on Heterogeneous Platfoms. Technical report RR-2008-23, Laboratoire de l'Informatique du Parallélisme (LIP), June 2008.
    Note: Also available as INRIA Research Report 6566.
    Keywords: Deployment, ASP, Grid computing, DIET, LEGO.
    Abstract: The use of many distributed, heterogeneous resources as a large collective platform offers great potential. A key issue for these grid platforms is middleware scalability and how middleware services can be mapped on the available resources. Optimizing deployment is a difficult problem with no existing general solutions. In this paper, we address the following problem: how to perform out an adapted deployment for a hierarchy of servers and resource brokers on a heterogeneous system? Our objective is to generate a best platform from the available nodes so as to fulfill the clients demands. However, finding the best deployment among heterogeneous resources is a hard problem since it is close to find the best broadcast tree in a general graph, which is known to be NP-complete. Thus, in this paper, we present a heuristic for middleware deployment on heterogeneous resources. We apply our heuristic to automatically deploy a distributed Problem Solving Environment on a large scale grid. We present experiments comparing the automatically generated deployment against a number of other reasonable deployments.

    @TechReport{ TechReportRR-Laboratoire-RR-2008-23,
    abstract = {The use of many distributed, heterogeneous resources as a large collective platform offers great potential. A key issue for these grid platforms is middleware scalability and how middleware services can be mapped on the available resources. Optimizing deployment is a difficult problem with no existing general solutions. In this paper, we address the following problem: how to perform out an adapted deployment for a hierarchy of servers and resource brokers on a heterogeneous system? Our objective is to generate a best platform from the available nodes so as to fulfill the clients demands. However, finding the best deployment among heterogeneous resources is a hard problem since it is close to find the best broadcast tree in a general graph, which is known to be NP-complete. Thus, in this paper, we present a heuristic for middleware deployment on heterogeneous resources. We apply our heuristic to automatically deploy a distributed Problem Solving Environment on a large scale grid. We present experiments comparing the automatically generated deployment against a number of other reasonable deployments.},
    author = {Caron, Eddy and Chouhan, Pushpinder Kaur and Desprez, Fr{\'e}d{\'e}ric},
    institution = {Laboratoire de l'Informatique du Parall{\'e}lisme (LIP)},
    keywords = {Deployment, ASP, Grid computing, DIET, LEGO},
    month = jun,
    note = {Also available as INRIA Research Report 6566},
    number = {RR-2008-23},
    title = {Automatic Middleware Deployment Planning on Heterogeneous Platfoms},
    year = 2008 
    }
    


  2. Eddy Caron, Pushpinder Kaur Chouhan, and Frédéric Desprez. Automatic Middleware Deployment Planning on Heterogeneous Platfoms. Technical report 6566, Institut National de Recherche en Informatique et en Automatique (INRIA), June 2008.
    Note: Also available as LIP Research Report 2008-23.
    Keywords: Deployment, ASP, Grid computing, DIET, LEGO.
    Abstract: The use of many distributed, heterogeneous resources as a large collective platform offers great potential. A key issue for these grid platforms is middleware scalability and how middleware services can be mapped on the available resources. Optimizing deployment is a difficult problem with no existing general solutions. In this paper, we address the following problem: how to perform out an adapted deployment for a hierarchy of servers and resource brokers on a heterogeneous system? Our objective is to generate a best platform from the available nodes so as to fulfill the clients demands. However, finding the best deployment among heterogeneous resources is a hard problem since it is close to find the best broadcast tree in a general graph, which is known to be NP-complete. Thus, in this paper, we present a heuristic for middleware deployment on heterogeneous resources. We apply our heuristic to automatically deploy a distributed Problem Solving Environment on a large scale grid. We present experiments comparing the automatically generated deployment against a number of other reasonable deployments.

    @TechReport{ TechReportRR-Institut-6566,
    abstract = {The use of many distributed, heterogeneous resources as a large collective platform offers great potential. A key issue for these grid platforms is middleware scalability and how middleware services can be mapped on the available resources. Optimizing deployment is a difficult problem with no existing general solutions. In this paper, we address the following problem: how to perform out an adapted deployment for a hierarchy of servers and resource brokers on a heterogeneous system? Our objective is to generate a best platform from the available nodes so as to fulfill the clients demands. However, finding the best deployment among heterogeneous resources is a hard problem since it is close to find the best broadcast tree in a general graph, which is known to be NP-complete. Thus, in this paper, we present a heuristic for middleware deployment on heterogeneous resources. We apply our heuristic to automatically deploy a distributed Problem Solving Environment on a large scale grid. We present experiments comparing the automatically generated deployment against a number of other reasonable deployments.},
    author = {Caron, Eddy and Chouhan, Pushpinder Kaur and Desprez, Fr{\'e}d{\'e}ric},
    institution = {Institut National de Recherche en Informatique et en Automatique (INRIA)},
    keywords = {Deployment, ASP, Grid computing, DIET, LEGO},
    month = jun,
    note = {Also available as LIP Research Report 2008-23},
    number = {6566},
    title = {Automatic Middleware Deployment Planning on Heterogeneous Platfoms},
    year = 2008 
    }
    


  3. Eddy Caron, Frédéric Desprez, and David Loureiro. All-in-one Graphical Tool for the management of DIET a GridRPC Middleware. Technical report RR2008-24, Laboratoire de l'Informatique du Parallélisme (LIP), June 2008.
    Keywords: DIET, LEGO, GWENDIA.
    Abstract: Grid middleware are the link between large scale (and distributed) platforms and applications. Managing such a software system and the grid environment itself can be a hard task when no dedicated (and integrated) tool exist. Some can be used through nice graphical interfaces, but they are usually dedicated to one or some limited tasks. They do not fulfill all the needs of a grid end-user who wants to deploy grid applications easily and rapidly. The aim of this paper is to present the case study of an all-in-one software system, designed for the management of a grid middleware and gathering user-friendly graphical interfaces answering to the various needs of end-users. Moreover the software system eases the use of the grid by avoiding the scripting layer under a nice GUI enabling the user a faster and more efficient use of the grid environment. By this means we demonstrate how the \ddb fulfills all the needs of a unified tool for grid management. This paper gives a comparison with existing and well-known tools dedicated to some specific tasks such as grid resources management, grid monitoring or middleware management.

    @TechReport{ TechReportRR-Laboratoire-RR2008-24,
    abstract = { Grid middleware are the link between large scale (and distributed) platforms and applications. Managing such a software system and the grid environment itself can be a hard task when no dedicated (and integrated) tool exist. Some can be used through nice graphical interfaces, but they are usually dedicated to one or some limited tasks. They do not fulfill all the needs of a grid end-user who wants to deploy grid applications easily and rapidly. The aim of this paper is to present the case study of an all-in-one software system, designed for the management of a grid middleware and gathering user-friendly graphical interfaces answering to the various needs of end-users. Moreover the software system eases the use of the grid by avoiding the scripting layer under a nice GUI enabling the user a faster and more efficient use of the grid environment. By this means we demonstrate how the \ddb fulfills all the needs of a unified tool for grid management. This paper gives a comparison with existing and well-known tools dedicated to some specific tasks such as grid resources management, grid monitoring or middleware management.},
    author = {Caron, Eddy and Desprez, Fr{\'e}d{\'e}ric and Loureiro, David},
    institution = {Laboratoire de l'Informatique du Parall{\'e}lisme (LIP)},
    keywords = {DIET, LEGO, GWENDIA},
    month = jun,
    number = {RR2008-24},
    title = {All-in-one Graphical Tool for the management of DIET a {GridRPC} Middleware},
    year = 2008 
    }
    


Manuals, booklets
  1. GRAAL Team. DIET User's Manual v2.3. July 2008.
    Note: Http://graal.ens-lyon.fr/DIET.
    Keywords: DIET, User's Manual.
    @Manual{ Man-Team.T_08,
    author = {GRAAL Team},
    keywords = {DIET, User's Manual},
    month = {July},
    note = {{http://graal.ens-lyon.fr/DIET}},
    title = {{DIET User's Manual} v2.3},
    url = {http://graal.ens-lyon.fr/DIET/download/doc/UsersManualDiet2.3.pdf},
    year = {2008} 
    }
    



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Last modified: Thu Mar 24 10:57:26 2011
Author: ecaron.


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