Système d'Administration Autonome Adaptable : application au Cloud

Ces dernières années ont vu le développement du cloud computing. Le principe fondateur est de déporter la gestion des services informatique des entreprises dans des centres d'hébergement gérés par des entreprise tiers. Ce déport a pour principal avantage une réduction des coûts pour l'entreprise cliente, les moyens nécessaires à la gestion de ces services étant mutualisés entre clients et gérés par l'entreprise hébergeant ces services. Cette évolution implique la gestion de structures d'hébergement à grande échelle, que la dimension et la complexité rendent difficiles à administrer. Avec le développement des infrastructures de calcul de type cluster ou grille ont émergé des système fournissant un support pour l'administration automatisée de ces environnements. Ces systèmes sont désignés sous le terme Systèmes d'Administration Autonomes (SAA). Ils visent à fournir des services permettant d'automatiser les tâches d'administration comme le déploiement des logiciels, la réparation en cas de panne ou leur dimensionnement dynamique en fonction de la charge. Ainsi, il est naturel d'envisager l'utilisation des SAA pour l'administration d'une infrastructure d'hébergement de type clouds. Cependant, nous remarquons que les SAA disponibles à l'heure actuelle ont été pour la plupart conçus pour répondre aux besoins d'un domaine applicatif particulier. Un SAA doit pouvoir être adapté en fonction du domaine considéré, en particulier celui de l'administration d'un cloud. De plus, dans le domaine du cloud, différents besoins doivent être pris en compte : ceux de l'administrateur du centre d'hébergement et ceux de l'utilisateur du centre d'hébergement qui déploie ses applications dans le cloud. Ceci implique qu'un SAA doit pouvoir être adapté pour répondre à ces besoins divers. Dans cette thèse, nous étudions la conception et l'implantation d'un SAA adaptable. Un tel SAA doit permettre d'adapter les services qu'il offre aux besoins des domaines dans lesquels il est utilisé. Nous montrons ensuite comment ce SAA adaptable peut être utilisé pour l'administration autonome d'un environnement de cloud. ABSTRACT : Last years have seen the development of cloud computing. The main underlying principle of to externalize the management of companies' IT services in hosting centers which are managed by third party companies. This externalization allows saving costs for the client company, since the resources required to manage these services are mutualized between clients and managed by the hosting company. This orientation implies the management of large scale hosting centers, whose dimension and complexity make them difficult to manage. With the developement of computing infrastructures such as clusters or grids, researchers investigated the design of systems which provides support of an automatized management of these environments. We refer to these system as Autonomic Management Systems (AMS). They aim at providing services which automate administration tasks such as software deployment, fault repair or dynamic dimensioning according to a load. Therefore, in this context, it is natural to consider the use of AMS for the administration of a cloud infrastructure. However, we observe that currently available AMS have been designed to address the requirements of a particular application domain. It should be possible to adapt an AMS according to the considered domain, in particular that of the cloud. Moreover, in the cloud computing area, different requirements have to be accounted : those of the administrator of the hosting center and those of the user of the hosting center (who deploys his application in the cloud). Therefore, an AMS should be adaptable to fulfill such various needs. In this thesis, we investigate the design and implementation of an adaptable AMS. Such an AMS must allow adaptation of all the services it provides, according to the domains where it is used. We next describe the application of this adaptable AMS for the autonomic management of a cloud environment

Système d'administration autonome adaptable (application au cloud)

Ces dernières années ont vu le développement du cloud computing. Le principe fondateur est de déporter la gestion des services informatique des entreprises dans des centres d'hébergement gérés par des entreprise tiers. Ce déport a pour principal avantage une réduction des coûts pour l'entreprise cliente, les moyens nécessaires à la gestion de ces services étant mutualisés entre clients et gérés par l'entreprise hébergeant ces services. Cette évolution implique la gestion de structures d'hébergement à grande échelle, que la dimension et la complexité rendent difficiles à administrer. Avec le développement des infrastructures de calcul de type cluster ou grille ont émergé des système fournissant un support pour l'administration automatisée de ces environnements. Ces systèmes sont désignés sous le terme Systèmes d'Administration Autonomes (SAA). Ils visent à fournir des services permettant d'automatiser les tâches d'administration comme le déploiement des logiciels, la réparation en cas de panne ou leur dimensionnement dynamique en fonction de la charge. Ainsi, il est naturel d'envisager l'utilisation des SAA pour l'administration d'une infrastructure d'hébergement de type clouds. Cependant, nous remarquons que les SAA disponibles à l'heure actuelle ont été pour la plupart conçus pour répondre aux besoins d'un domaine applicatif particulier. Un SAA doit pouvoir être adapté en fonction du domaine considéré, en particulier celui de l'administration d'un cloud. De plus, dans le domaine du cloud, différents besoins doivent être pris en compte : ceux de l'administrateur du centre d'hébergement et ceux de l'utilisateur du centre d'hébergement qui déploie ses applications dans le cloud. Ceci implique qu'un SAA doit pouvoir être adapté pour répondre à ces besoins divers. Dans cette thèse, nous étudions la conception et l'implantation d'un SAA adaptable. Un tel SAA doit permettre d'adapter les services qu'il offre aux besoins des domaines dans lesquels il est utilisé. Nous montrons ensuite comment ce SAA adaptable peut être utilisé pour l'administration autonome d'un environnement de cloud.Last years have seen the development of cloud computing. The main underlying principle of to externalize the management of companies' IT services in hosting centers which are managed by third party companies. This externalization allows saving costs for the client company, since the resources required to manage these services are mutualized between clients and managed by the hosting company. This orientation implies the management of large scale hosting centers, whose dimension and complexity make them difficult to manage. With the developement of computing infrastructures such as clusters or grids, researchers investigated the design of systems which provides support of an automatized management of these environments. We refer to these system as Autonomic Management Systems (AMS). They aim at providing services which automate administration tasks such as software deployment, fault repair or dynamic dimensioning according to a load. Therefore, in this context, it is natural to consider the use of AMS for the administration of a cloud infrastructure. However, we observe that currently available AMS have been designed to address the requirements of a particular application domain. It should be possible to adapt an AMS according to the considered domain, in particular that of the cloud. Moreover, in the cloud computing area, different requirements have to be accounted : those of the administrator of the hosting center and those of the user of the hosting center (who deploys his application in the cloud). Therefore, an AMS should be adaptable to fulfill such various needs. In this thesis, we investigate the design and implementation of an adaptable AMS. Such an AMS must allow adaptation of all the services it provides, according to the domains where it is used. We next describe the application of this adaptable AMS for the autonomic management of a cloud environment.TOULOUSE-INP (315552154) / SudocSudocFranceF

Cooperative Resource Management in a IaaS

Virtualized IaaS generally rely on a server consolidation system to pack virtual machines (VMs) on as few servers as possible, for energy saving. However, two situations are not taken into account, and could enhance consolidation. First, since the managed VMs can be of various sizes (small, medium, large, etc.), VMs packing can be obstructed when sizes don't fit available spaces on servers. Therefore, we would need to "split" such VMs. Second, two VMs which host replicas of the same application server (for scalability) could be "fusion Ned" when they are located on the same physical server, in order to reduce virtualization overhead and VMs memory footprint. Split and fusion operations lead to the management of elastic VMs and requires cooperation between the application level and the provider level, as they impact management at both levels. In this paper, we propose a IaaS resource management system which implements elastic VMs based on split/fusion operations and cooperative management. We show its benefit with a set of experiments

TUNeEngine : An Adaptable Autonomic Administration System

The Autonomic Administration technology has proved its efficiency for the administration of complex com-puting systems. However, experiments conducted with several Autonomic Administration Systems (AAS) revealed the need to adapt the AAS according to the administrated system or the considered administration facet. Consequently, users usually have to adapt even to re-implement the AAS according to their specific needs but these tasks require high expertise on the AAS implementation that users do not necessarily have. In this paper we propose a service-oriented components approach to build a generic, flexible, and useful AAS. We present an implementation of this approach, the design principles and the prototype called TUNeEngine. We illustrate the flexibility of this prototype through the administration of a complex computing system which is a virtualized cloud platform

Adaptable autonomic management system : application to Cloud infrastructures

Ces dernières années ont vu le développement du cloud computing. Le principe fondateur est de déporter la gestion des services informatique des entreprises dans des centres d'hébergement gérés par des entreprise tiers. Ce déport a pour principal avantage une réduction des coûts pour l'entreprise cliente, les moyens nécessaires à la gestion de ces services étant mutualisés entre clients et gérés par l'entreprise hébergeant ces services. Cette évolution implique la gestion de structures d'hébergement à grande échelle, que la dimension et la complexité rendent difficiles à administrer. Avec le développement des infrastructures de calcul de type cluster ou grille ont émergé des système fournissant un support pour l'administration automatisée de ces environnements. Ces systèmes sont désignés sous le terme Systèmes d'Administration Autonomes (SAA). Ils visent à fournir des services permettant d'automatiser les tâches d'administration comme le déploiement des logiciels, la réparation en cas de panne ou leur dimensionnement dynamique en fonction de la charge. Ainsi, il est naturel d'envisager l'utilisation des SAA pour l'administration d'une infrastructure d'hébergement de type clouds. Cependant, nous remarquons que les SAA disponibles à l'heure actuelle ont été pour la plupart conçus pour répondre aux besoins d'un domaine applicatif particulier. Un SAA doit pouvoir être adapté en fonction du domaine considéré, en particulier celui de l'administration d'un cloud. De plus, dans le domaine du cloud, différents besoins doivent être pris en compte : ceux de l'administrateur du centre d'hébergement et ceux de l'utilisateur du centre d'hébergement qui déploie ses applications dans le cloud. Ceci implique qu'un SAA doit pouvoir être adapté pour répondre à ces besoins divers. Dans cette thèse, nous étudions la conception et l'implantation d'un SAA adaptable. Un tel SAA doit permettre d'adapter les services qu'il offre aux besoins des domaines dans lesquels il est utilisé. Nous montrons ensuite comment ce SAA adaptable peut être utilisé pour l'administration autonome d'un environnement de cloud.Last years have seen the development of cloud computing. The main underlying principle of to externalize the management of companies' IT services in hosting centers which are managed by third party companies. This externalization allows saving costs for the client company, since the resources required to manage these services are mutualized between clients and managed by the hosting company. This orientation implies the management of large scale hosting centers, whose dimension and complexity make them difficult to manage. With the developement of computing infrastructures such as clusters or grids, researchers investigated the design of systems which provides support of an automatized management of these environments. We refer to these system as Autonomic Management Systems (AMS). They aim at providing services which automate administration tasks such as software deployment, fault repair or dynamic dimensioning according to a load. Therefore, in this context, it is natural to consider the use of AMS for the administration of a cloud infrastructure. However, we observe that currently available AMS have been designed to address the requirements of a particular application domain. It should be possible to adapt an AMS according to the considered domain, in particular that of the cloud. Moreover, in the cloud computing area, different requirements have to be accounted : those of the administrator of the hosting center and those of the user of the hosting center (who deploys his application in the cloud). Therefore, an AMS should be adaptable to fulfill such various needs. In this thesis, we investigate the design and implementation of an adaptable AMS. Such an AMS must allow adaptation of all the services it provides, according to the domains where it is used. We next describe the application of this adaptable AMS for the autonomic management of a cloud environment

Two-Level Cooperation in Autonomic Cloud Resource Management

Virtualized cloud infrastructures are becoming very popular as they allow separation of hardware and software management. Infrastructure as a Service (IaaS) is the model providing many advantages to both provider and customer. Minimizing the number of resource (and power consumption) in use is one of the main services that such a cloud model must ensure. This objective can be done either by the customer at the application level (by dynamically sizing the application based on the workload) or by the provider at the virtualization level (by consolidating virtual machines based on the infrastructure's utilization rate). Many research works investigate resource management policies separately at the application level or at the virtualized level. In this paper, we study different strategies for cloud resource management: virtual machine consolidation only, dynamic application sizing only, both policy at the same time (either independent or cooperative). We show that virtual machine consolidation and dynamic application sizing do not fully bring benefits to the cloud provider and customer when being implemented without cooperation. Finally, we propose a cooperative model to improve the efficiency of these strategies, in reducing power consumption and keeping application's Quality of Service

Materiales para Condiciones de Trabajo Extremas en Servicio. Heat-Resistant Steels for Energy Generation Systems under Extreme Enviroments

The Spanish National Research Council (CSIC) is the largest public institution dedicated to research in Spain and the third largest in Europe. Its main objective is to develop and promote research that will bring scientific and technological progress. CSIC is among the World’s Top 10 Research Institutions (SCImago Institutions Ranking World Report 2012). The World’s Top 10 Research Institutions for 2012: CNRS (France), Chinese Academy of Sciences (China), Russian Academy of Sciences (Russia), Harvard University (USA), Max Planck Gesellschaft (Germany), Tokyo University (Japan), National Institutes of Health (USA), University of Toronto (Canada), CSIC (Spain), Tsinghua University (China). Fundamental and applied scientific research in metallic materials. Center focused on research and knowledge transfer in metallic materials with the aim that all the knowledge generated at our institution have an impact on both the economy and the welfare of our society.Peer Reviewe

Working set size estimation techniques in virtualized environments: One size does not fit all

Energy consumption is a primary concern for datacenters? management. Numerous datacenters are relying on virtualization, as it provides flexible resource management means such as virtual machine (VM) checkpoint/restart, migration and consolidation. However, one of the main hindrances to server consolidation is physical memory. In nowadays cloud, memory is generally statically allocated to VMs and wasted if not used. Techniques (such as ballooning) were introduced for dynamically reclaiming memory from VMs, such that only the needed memory is provisioned to each VM. However, the challenge is to precisely monitor the needed memory, i.e., the working set of each VM. In this paper, we thoroughly review the main techniques that were proposed for monitoring the working set of VMs. Additionally, we have implemented the main techniques in the Xen hypervisor and we have defined different metrics in order to evaluate their efficiency. Based on the evaluation results, we propose Badis, a system which combines several of the existing solutions, using the right solution at the right time. We also propose a consolidation extension which leverages Badis in order to pack the VMs based on the working set size and not the booked memory. The implementation of all techniques, our proposed system, and the benchmarks we have used are publicly available in order to support further research in this domain