Gotowe bibliografie tematyczne / Federation

Gotowa bibliografia na temat „Federation”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 28 lipca 2024

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Artykuły w czasopismach na temat "Federation"

1

Zefferer, Thomas, Dominik Ziegler i Andreas Reiter. "A Federation of Federations: Secure Cloud Federations meet European Identity Federations". International Journal for Information Security Research 8, nr 1 (30.03.2018): 774–84. http://dx.doi.org/10.20533/ijisr.2042.4639.2018.0089.

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2

Lee, Chung-Young. "History of Taekwondo Federation in Korea: Women and Industry Federation". World Society of Taekwondo Culture 14, nr 1 (31.01.2023): 33–44. http://dx.doi.org/10.18789/jwstc.2023.38.33.

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This study specifically examines the development history of Women's Federations and Industry Federations among the five federations that have had a significant impact on the development of Taekwondo. This study was conducted with the goal of finding out through this and leaving a documentary trace on the development history of Taekwondo. Through the study, the following results were confirmed. First, the establishment of the Korean Women's Taekwondo Federation provided an opportunity to have a wider perspective on women's sports participation in Korea, and based on the establishment of the Women's Federation, it served as an opportunity for further development of Korean Women's Taekwondo. Second, the establishment of the Korea Industry Taekwondo Federation was established to help Taekwondo players continue their activities after graduating from college and discharged from the military. This is thought to be a stepping stone for diversification of the age group of Taekwondo players.
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3

Baptista, Patrícia, i Leonardo Antoun. "GOVERNO DIGITAL: POLÍTICA PÚBLICA, NORMAS E ARRANJOS INSTITUCIONAIS NO REGIME FEDERATIVO BRASILEIRO: A EDIÇÃO DA LEI FEDERAL N. º 14.129/2021 E O DESENVOLVIMENTO DA POLÍTICA NACIONAL DE GOVERNO DIGITAL / DIGITAL GOVERNMENT: PUBLIC POLICY, RULES AND INSTITUTIONAL ARRANGEMENTS IN THE BRAZILIAN FEDERATIVE REGIME. THE NEW FEDERAL LAW 14.129/2021 AND THE DEVELOPMENT OF A NATIONAL DIGITAL GOVERNMENT POLICY". RFD- Revista da Faculdade de Direito da UERJ, nr 41 (14.10.2022): 1–34. http://dx.doi.org/10.12957/rfd.2022.70724.

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Resumo: O artigo apresenta o governo digital sob a perspectiva de política pública, de sistema normativo e de arranjo institucional. Identifica normas e arranjos institucionais na política desenhada pelo governo federal brasileiro. Considera o ponto de vista das unidades da federação, para indicar a necessidade de integração federativa com preservação da autonomia local em face do protagonismo federal. E, por último, discorre sobre as virtudes, os riscos e os desafios para os entes da federação no desenvolvimento da política de governo digital.Palavras-chave: Governo digital. Governo eletrônico. Política pública. Sistema normativo. Arranjo institucional. Regime federativo. Estados-membros. Autonomia federativa. Proteção de dados. Transparência. Eficiência. Privacidade. Coordenação interfederativa. Desigualdade digital. Abstract: The article explores the idea of digital government conceived as a public policy, a regulatory system and an institutional arrangement. It identifies norms and institutional arrangements in the policy designed by the Brazilian federal government. And in regard of the federation units, it indicates the need for federative integration with preservation of local autonomy in the face of federal protagonism. And, finally, it discusses the virtues, risks and challenges in the development of digital government policy.Keywords: Digital government. Electronic government. Public policy. Regulatory system. Institutional arrangement. Federative system. States-members. Federative autonomy. Data protection. Transparency. Efficiency. Privacy. Inter-federative coordination. Digital inequality.
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4

Abdul Hussein, Atheer Ailan, i Abdul Rezaq Khadem. "Analyses of Self – Administration Reality of Central Sport Federation Presidents from Administrative Bureau Point of View in Iraq". Journal of Physical Education 33, nr 3 (28.09.2021): 37–47. http://dx.doi.org/10.37359/jope.v33(3)2021.1186.

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The importance of the research lies in self – administration being a modern topic in sport administration in general and in Iraqi central sport federation’s administration in particular. Self - administration positively affect high self–esteem in members of the administrative board in Iraqi central sport federations. It also contributes to future vision and strategy planning for each federation to achieve winning in competitions.
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5

Ghenai, Afifa, i Chems Eddine Nouioua. "Federation-Level Agreement and Integrity-Based Managed Cloud Federation Architecture". Journal of Information Technology Research 13, nr 4 (październik 2020): 91–117. http://dx.doi.org/10.4018/jitr.2020100107.

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One of the biggest challenges in cloud federations is how to express the federation level agreement (FLA) and voluntary aspect of the federation members and maintain the integrity of the organization. However, existing works are not able to present the cloud federation management aspect or implement these properties that distinguish cloud federation from other inter-cloud organizations. This paper bridges this gap by proposing a managed cloud federation architecture based on this subset of properties. The key component of this architecture is the federation manager that controls, tracks, evaluates, and predicts the behavior of the federation. In order to ensure the effectiveness of the approach, the authors developed the Managed Federation Simulator to implement the proposed federation architecture on the SmartFed simulator and evaluate it through a set of scenarios on a real case study.
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6

Tariq, Muhammad. "Comparative Analysis between Federation and Federalism". Global Regional Review V, nr I (30.03.2020): 300–307. http://dx.doi.org/10.31703/grr.2020(v-i).33.

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This paper discusses the comparative analysis between federalism and federation. Federalism is a theoretical framework while federation is a legal term manifesting itself in pragmatic form. The former is normative while the latter is descriptive in nature. Federalism is the means while federation is the end as there can be federalism without federation but there can be no federation without federalism. Federalism refers to an ideological perspective which acts as prescriptive guide while federation connotes constitutionally well-established institution. It has been discussed in formal centralized or effective centralized form, unitary or decentralized form, symmetrical or asymmetrical form, and fully or partially centralized form. Centripetal and Centrifugal forces provide the basic framework for federalism. Various forms of federations have been discussed in parlance of three different models of federalism.
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7

Novaković, Stanislav. "International capacity of federal units". Glasnik Advokatske komore Vojvodine 72, nr 8-9 (2000): 214–22. http://dx.doi.org/10.5937/gakv0005214n.

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The issue of international capacity of federal units of federations is analyzed in the comparative context. The author concludes that only a federation is a person of international law that may conclude international treaties, which are binding on federal units within the federation.
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8

Boyer, Michael, David Tarjan i Kevin Skadron. "Federation". ACM Transactions on Architecture and Code Optimization 7, nr 4 (grudzień 2010): 1–38. http://dx.doi.org/10.1145/1880043.1880046.

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Keil, Soeren. "Building a Federation within a Federation". L'Europe en Formation 369, nr 3 (2013): 114. http://dx.doi.org/10.3917/eufor.369.0114.

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Salmin, A. "Russian Federation and Federation in Russia". World Economy and International Relations, nr 3 (2002): 22–35. http://dx.doi.org/10.20542/0131-2227-2002-3-22-35.

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Rozprawy doktorskie na temat "Federation"

1

Kuscu, Isik. "The Russian Federation". Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1177062/index.pdf.

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The purpose of this dissertation is to analyze the Russian Federation&rsquo
s military Policy in Central Asia in 1991-2001. My main concern in this point is to figure out what is Moscow&rsquo
s real intention behind establishing military ties with the Central Asian states and to what extent is Moscow successful in accomplishing this aim? Does the Russian Federation perceive direct threats to its security from Central Asia? My argument is that the Russian Federation does not perceive direct threats to its national security from the region rather she uses these threats to be the main actor in the region by using military means. Throughout the thesis first the shift in the Russian Federation&rsquo
s foreign policy course regarding the &lsquo
Near Abroad&rsquo
and its reflections on the basic security documents of the Russian Federation, second the threat perceptions of the Russian Federation in these regions, third reflections of this shift on Russia&rsquo
s bilateral military ties with these states and finally the role of the changing perception in the formation of regional collective security formations are to be analyzed.
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2

Marin, Nogueras Gerard. "Federation of Community Networking Testbeds". Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177198.

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3

Easwaran, Aneurin Maatchiman. "Federation in multi-agent systems". Thesis, Imperial College London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430853.

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4

Mucklo, Matthew Joseph. "API federation in a polystore". Thesis, Massachusetts Institute of Technology, 2018. https://hdl.handle.net/1721.1/121633.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 97-101).
This thesis describes the design, implementation, test, and evaluation of an extension to a well-known polystore called BigDAWG. As a polystore, BigDAWG binds together multiple diverse data sources into a single system that allows primarily analytical queries to be easily executed against the most appropriate engine for the job. The extension described allows the polystore to source data from APIs such as those publicly available on the internet. Further, an administrative interface was constructed to facilitate the adding, editing, and deleting of access to these APIs. These additions place power into the hands of the BigDAWG polystore user such that not only do they have the ability to source data from many new sources, but can process that data quickly and easily by using the built-in polystore casting facilities, cutting down on the time necessary to create custom ETLs to achieve the same result.
by Matthew Joseph Mucklo.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
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5

Rebai, Salma. "Resource allocation in Cloud federation". Thesis, Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0006/document.

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L'informatique en nuage (Cloud Computing) est un modèle à grande échelle et en évolution continue, permettant le provisionnement et l'utilisation des ressources informatiques à la demande, selon un modèle rentable de facturation à l'usage "pay-as-you-go". Ce nouveau paradigme a rapidement révolutionné l'industrie IT et a permis de nouvelles tendances en matière de prestation de services informatiques, y compris l'externalisation des infrastructures IT vers des prestataires tiers spécialisés. Cependant, la nature multi-utilisateur des plateformes d'hébergement, ainsi que la complexité des demandes, soulèvent plusieurs défis liés à la gestion des ressources Cloud. Malgré l'attention croissante portée à ce sujet, la plupart des efforts ont été axés sur des solutions centrées utilisateur, et malheureusement beaucoup moins sur les difficultés rencontrées par les fournisseurs pour maximiser leurs bénéfices. Dans ce contexte, la fédération de Cloud a été récemment proposée comme une solution clé pour répondre à l'augmentation et la fluctuation des charges de travail. Les fournisseurs ayant des besoins complémentaires en ressources au fil du temps, peuvent collaborer et partager leurs infrastructures respectives via l'externalisation ("Outsourcing") pour mieux satisfaire les demandes et exigences des utilisateurs. Cette thèse aborde le problème d'optimisation du profit via la fédération et l'allocation optimale des ressources parmi plusieurs fournisseurs d'infrastructures Cloud. L'étude examine les principaux défis et opportunités liés à la maximisation des revenus dans une fédération de Clouds, et définit des stratégies efficaces pour diriger les fournisseurs dans leurs décisions de coopération. Le but est de fournir des algorithmes qui automatisent la sélection du plan d'allocation le plus rentable, qui satisfait à la fois la demande des utilisateurs et les exigences de mise en réseau. Nous visons des modèles d'allocation génériques et robustes qui répondent aux nouvelles tendances Cloud, et de traiter les requêtes simples ainsi que complexes nécessitant le provisionnement de services composites avec différentes ressources distribuées et connectées. Conformément aux objectifs de la thèse, nous avons mené une étude approfondie des travaux antérieurs traitant la problématique de provisionnement des ressources d'infrastructure dans les environnements Cloud. L'analyse a porté notamment sur les modèles d'allocation ayant pour objectif la maximisation de profit et les lacunes et défis associés dans les fédérations de Clouds. Dans un deuxième temps, nous avons proposé un programme linéaire en nombre entiers (ILP), pour aider les fournisseurs de services dans leurs décisions de coopération via des actions optimales d'externalisation (outsourcing), d'internalisation (insourcing) et d'allocation en local. Ces différentes décisions d'allocation sont traitées conjointement dans une formule d'optimisation globale qui partitionne les graphes de requêtes entre les membres de la fédération, tout en satisfaisant les exigences de communication entre les services élémentaires. En plus de la topologie des graphes de ressources, ce partitionnement prend en compte les prix dynamiques et les quotas proposés par les membres de la fédération ainsi que les coûts d'hébergement des ressources et de leur mise en réseau. Enfin, nous avons proposé un algorithme heuristique pour améliorer les temps de convergence avec les instances de problèmes à grande échelle. L'approche proposée utilise un algorithme de "clustering" basé sur les arbres de Gomory-Hu pour le partitionnement des graphes et une stratégie de meilleur ajustement (Best-Fit matching) pour l'allocation et le placement des sous-graphes résultants. L'utilisation conjointe de ces deux techniques permet de capturer l'essence du problème d'optimisation et de respecter les différents objectifs fixés, tout en améliorant le temps de convergence vers les solutions quasi-optimales de plusieurs ordres de grandeur
Cloud computing is a steadily maturing large-scale model for providing on-demand IT resources on a pay-as-you-go basis. This emerging paradigm has rapidly revolutionized the IT industry and enabled new service delivery trends, including infrastructure externalization to large third-party providers. The Cloud multi-tenancy architecture raises several management challenges for all stakeholders. Despite the increasing attention on this topic, most efforts have been focused on user-centric solutions, and unfortunately much less on the difficulties encountered by Cloud providers in improving their business. In this context, Cloud Federation has been recently suggested as a key solution to the increasing and variable workloads. Providers having complementary resource requirements over time can collaborate and share their respective infrastructures, to dynamically adjust their hosting capacities in response to users' demands. However, joining a federation makes the resource allocation more complex, since providers have to also deal with cooperation decisions and workload distribution within the federation. This is of crucial importance for cloud providers from a profit standpoint and especially challenging in a federation involving multiple providers and distributed resources and applications. This thesis addresses profit optimization through federating and allocating resources amongst multiple infrastructure providers. The work investigates the key challenges and opportunities related to revenue maximization in Cloud federation, and defines efficient strategies to govern providers' cooperation decisions. The goal is to provide algorithms to automate the selection of cost-effective distributed allocation plans that simultaneously satisfy user demand and networking requirements. We seek generic and robust models able to meet the new trends in Cloud services and handle both simple and complex requests, ranging from standalone VMs to composite services requiring the provisioning of distributed and connected resources. In line with the thesis objectives, we first provide a survey of prior work on infrastructure resource provisioning in Cloud environments. The analysis mainly focuses on profit-driven allocation models in Cloud federations and the associated gaps and challenges with emphasis on pricing and networking issues. Then, we present a novel exact integer linear program (ILP), to assist IaaS providers in their cooperation decisions, through optimal "insourcing", "outsourcing" and local allocation operations. The different allocation decisions are treated jointly in a global optimization formulation that splits resource request graphs across federation members while satisfying communication requirements between request subsets. In addition to the request topology, this partitioning takes into account the dynamic prices and quotas proposed by federation members as well as the costs of resources and their networking. The algorithm performance evaluation and the identified benefits confirm the relevance of resource federation in improving providers' profits and shed light into the most favorable conditions to join or build a federation. Finally, a new topology-aware allocation heuristic is proposed to improve convergence times with large-scale problem instances. The proposed approach uses a Gomory-Hu tree based clustering algorithm for request graphs partitioning, and a Best-Fit matching strategy for subgraphs placement and allocation. Combining both techniques captures the essence of the optimization problem and meets the objectives, while speeding up convergence to near-optimal solutions by several orders of magnitude
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6

Rebai, Salma. "Resource allocation in Cloud federation". Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0006.

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L'informatique en nuage (Cloud Computing) est un modèle à grande échelle et en évolution continue, permettant le provisionnement et l'utilisation des ressources informatiques à la demande, selon un modèle rentable de facturation à l'usage "pay-as-you-go". Ce nouveau paradigme a rapidement révolutionné l'industrie IT et a permis de nouvelles tendances en matière de prestation de services informatiques, y compris l'externalisation des infrastructures IT vers des prestataires tiers spécialisés. Cependant, la nature multi-utilisateur des plateformes d'hébergement, ainsi que la complexité des demandes, soulèvent plusieurs défis liés à la gestion des ressources Cloud. Malgré l'attention croissante portée à ce sujet, la plupart des efforts ont été axés sur des solutions centrées utilisateur, et malheureusement beaucoup moins sur les difficultés rencontrées par les fournisseurs pour maximiser leurs bénéfices. Dans ce contexte, la fédération de Cloud a été récemment proposée comme une solution clé pour répondre à l'augmentation et la fluctuation des charges de travail. Les fournisseurs ayant des besoins complémentaires en ressources au fil du temps, peuvent collaborer et partager leurs infrastructures respectives via l'externalisation ("Outsourcing") pour mieux satisfaire les demandes et exigences des utilisateurs. Cette thèse aborde le problème d'optimisation du profit via la fédération et l'allocation optimale des ressources parmi plusieurs fournisseurs d'infrastructures Cloud. L'étude examine les principaux défis et opportunités liés à la maximisation des revenus dans une fédération de Clouds, et définit des stratégies efficaces pour diriger les fournisseurs dans leurs décisions de coopération. Le but est de fournir des algorithmes qui automatisent la sélection du plan d'allocation le plus rentable, qui satisfait à la fois la demande des utilisateurs et les exigences de mise en réseau. Nous visons des modèles d'allocation génériques et robustes qui répondent aux nouvelles tendances Cloud, et de traiter les requêtes simples ainsi que complexes nécessitant le provisionnement de services composites avec différentes ressources distribuées et connectées. Conformément aux objectifs de la thèse, nous avons mené une étude approfondie des travaux antérieurs traitant la problématique de provisionnement des ressources d'infrastructure dans les environnements Cloud. L'analyse a porté notamment sur les modèles d'allocation ayant pour objectif la maximisation de profit et les lacunes et défis associés dans les fédérations de Clouds. Dans un deuxième temps, nous avons proposé un programme linéaire en nombre entiers (ILP), pour aider les fournisseurs de services dans leurs décisions de coopération via des actions optimales d'externalisation (outsourcing), d'internalisation (insourcing) et d'allocation en local. Ces différentes décisions d'allocation sont traitées conjointement dans une formule d'optimisation globale qui partitionne les graphes de requêtes entre les membres de la fédération, tout en satisfaisant les exigences de communication entre les services élémentaires. En plus de la topologie des graphes de ressources, ce partitionnement prend en compte les prix dynamiques et les quotas proposés par les membres de la fédération ainsi que les coûts d'hébergement des ressources et de leur mise en réseau. Enfin, nous avons proposé un algorithme heuristique pour améliorer les temps de convergence avec les instances de problèmes à grande échelle. L'approche proposée utilise un algorithme de "clustering" basé sur les arbres de Gomory-Hu pour le partitionnement des graphes et une stratégie de meilleur ajustement (Best-Fit matching) pour l'allocation et le placement des sous-graphes résultants. L'utilisation conjointe de ces deux techniques permet de capturer l'essence du problème d'optimisation et de respecter les différents objectifs fixés, tout en améliorant le temps de convergence vers les solutions quasi-optimales de plusieurs ordres de grandeur
Cloud computing is a steadily maturing large-scale model for providing on-demand IT resources on a pay-as-you-go basis. This emerging paradigm has rapidly revolutionized the IT industry and enabled new service delivery trends, including infrastructure externalization to large third-party providers. The Cloud multi-tenancy architecture raises several management challenges for all stakeholders. Despite the increasing attention on this topic, most efforts have been focused on user-centric solutions, and unfortunately much less on the difficulties encountered by Cloud providers in improving their business. In this context, Cloud Federation has been recently suggested as a key solution to the increasing and variable workloads. Providers having complementary resource requirements over time can collaborate and share their respective infrastructures, to dynamically adjust their hosting capacities in response to users' demands. However, joining a federation makes the resource allocation more complex, since providers have to also deal with cooperation decisions and workload distribution within the federation. This is of crucial importance for cloud providers from a profit standpoint and especially challenging in a federation involving multiple providers and distributed resources and applications. This thesis addresses profit optimization through federating and allocating resources amongst multiple infrastructure providers. The work investigates the key challenges and opportunities related to revenue maximization in Cloud federation, and defines efficient strategies to govern providers' cooperation decisions. The goal is to provide algorithms to automate the selection of cost-effective distributed allocation plans that simultaneously satisfy user demand and networking requirements. We seek generic and robust models able to meet the new trends in Cloud services and handle both simple and complex requests, ranging from standalone VMs to composite services requiring the provisioning of distributed and connected resources. In line with the thesis objectives, we first provide a survey of prior work on infrastructure resource provisioning in Cloud environments. The analysis mainly focuses on profit-driven allocation models in Cloud federations and the associated gaps and challenges with emphasis on pricing and networking issues. Then, we present a novel exact integer linear program (ILP), to assist IaaS providers in their cooperation decisions, through optimal "insourcing", "outsourcing" and local allocation operations. The different allocation decisions are treated jointly in a global optimization formulation that splits resource request graphs across federation members while satisfying communication requirements between request subsets. In addition to the request topology, this partitioning takes into account the dynamic prices and quotas proposed by federation members as well as the costs of resources and their networking. The algorithm performance evaluation and the identified benefits confirm the relevance of resource federation in improving providers' profits and shed light into the most favorable conditions to join or build a federation. Finally, a new topology-aware allocation heuristic is proposed to improve convergence times with large-scale problem instances. The proposed approach uses a Gomory-Hu tree based clustering algorithm for request graphs partitioning, and a Best-Fit matching strategy for subgraphs placement and allocation. Combining both techniques captures the essence of the optimization problem and meets the objectives, while speeding up convergence to near-optimal solutions by several orders of magnitude
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7

Lester, Cathrynne Delohery. "The "Popular movement" towards Federation : case studies in local history on Federation in South Australia /". Title page, contents, introductions and conclusions only, 2002. http://web4.library.adelaide.edu.au/theses/09AR/09arl6422.pdf.

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8

Wang, Di. "Query optimization for database federation systems". Worcester, Mass. : Worcester Polytechnic Institute, 2009. http://www.wpi.edu/Pubs/ETD/Available/etd-050409-131957/.

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9

Topcu, Okan. "Metamodeling For The Hla Federation Architectures". Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/3/12609187/index.pdf.

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This study proposes a metamodel, named Federation Architecture Metamodel (FAMM), for describing the architecture of a High Level Architecture (HLA) compliant federation. The metamodel provides a domain specific language and a formal representation for the federation adopting Domain Specific Metamodeling approach to HLA-compliant federations. The metamodel supports the definitions of transformations both as source and as target. Specifically, it supports federate base code generation from a described federate behavior, and it supports transformations from a simulation conceptual model. A salient feature of FAMM is the behavioral description of federates based on live sequence charts (LSCs). It is formulated in metaGME, the meta-metamodel for the Generic Modeling Environment (GME). This thesis discusses specifically the following points: the approach to building the metamodel, metamodel extension from Message Sequence Chart (MSC) to LSC, support for model-based code generation, and action model and domain-specific data model integration. Lastly, this thesis presents, through a series of modeling case studies, the Federation Architecture Modeling Environment (FAME), which is a domain-specific model-building environment provided by GME once FAMM is invoked as the base paradigm.
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10

Aktas, Mehmet S. "Information federation in grid information services". [Bloomington, Ind.] : Indiana University, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3277981.

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Thesis (Ph.D.)--Indiana University, Dept. of Computer Science, 2007.
Source: Dissertation Abstracts International, Volume: 68-09, Section: B, page: 6057. Adviser: Geoffrey C. Fox. Title from dissertation home page (viewed May 9, 2008).
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Książki na temat "Federation"

1

Matthews, Brian. Federation. Melbourne: Text Pub., 1999.

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2

Reeves-Stevens, Judith. Federation. New York: Pocket Books, 1994.

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3

Crisp, L. F. Federation fathers. Carlton, Vic: Melbourne University Press, 1990.

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4

C, Odling-Smee J., Hernández-Catá Ernesto i International Monetary Fund, red. Russian Federation. Washington, D.C: International Monetary Fund, 1993.

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5

Organisation for Economic Co-operation and Development., red. Russian Federation. Paris: OECD., 1995.

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6

Centre for Co-operation with Non-members., red. Russian Federation. Paris: Organisation for Economic Co-operation and Development, 1998.

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7

Federation, British Property. About the Federation: How the Federation works. London: British Property Federation, 1990.

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Laurel, Corona. The Russian Federation. San Diego, California: Lucent Books, 2001.

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David, Flint. The Russian Federation. Brookfield, Conn: Millbrook Press, 1993.

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World Book, Inc. Federation of Australia. Chicago: World Book, 2011.

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Części książek na temat "Federation"

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Siriwardena, Prabath. "Federation". W Advanced API Security, 171–80. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6817-8_11.

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Taylor, Ann C. M. "Russian Federation". W International Handbook of Universities, 785–96. London: Palgrave Macmillan UK, 1993. http://dx.doi.org/10.1007/978-1-349-12912-6_126.

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Pinder, John, i John C. de V. Roberts. "Towards Federation?" W Federal Union: The Pioneers, 203–13. London: Palgrave Macmillan UK, 1990. http://dx.doi.org/10.1007/978-1-349-08842-3_14.

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Woldendorp, Jaap, Hans Keman i Ian Budge. "Russian Federation". W Party Government in 48 Democracies (1945–1998), 558–64. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-017-2547-7_53.

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Agapova, Olga. "Russian Federation". W International Perspectives on Older Adult Education, 367–78. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24939-1_32.

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Tiess, Günter. "Russian Federation". W Legal Basics of Mineral Policy in Europe, 290–300. Vienna: Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-211-89003-5_32.

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Czerewacz-Filipowicz, Katarzyna, i Agnieszka Konopelko. "Russian Federation". W Regional Integration Processes in the Commonwealth of Independent States, 301–3. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47563-9_14.

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Schwartz, Michael, i Maciej Machulak. "Multiparty Federation". W Securing the Perimeter, 337–63. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-2601-8_10.

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Knaul, Andreas, i Oleg Zhabinski. "Russian Federation". W Global Food Legislation, 195–224. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2014. http://dx.doi.org/10.1002/9783527680795.ch8.

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Solontsov, Oleg N., Alexander A. Martinuk i Alexander V. Bukas. "Russian Federation". W National Forest Inventories, 699–708. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44015-6_38.

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Streszczenia konferencji na temat "Federation"

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Tarjan, David, Michael Boyer i Kevin Skadron. "Federation". W the 45th annual conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1391469.1391666.

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Hatakeyama, Makoto. "Federation proxy for cross domain identity federation". W the 5th ACM workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1655028.1655041.

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Halagan, Tomas, i Kotuliak Ivan. "NFV federation". W 2016 International Conference on Emerging eLearning Technologies and Applications (ICETA). IEEE, 2016. http://dx.doi.org/10.1109/iceta.2016.7802084.

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Kanada, Yasusi, i Toshiaki Tarui. "Federation-less federation of ProtoGENI and VNode platforms". W 2015 International Conference on Information Networking (ICOIN). IEEE, 2015. http://dx.doi.org/10.1109/icoin.2015.7057895.

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Hatakeyama, Makoto, i Shigeyoshi Shima. "Privilege federation between different user profiles for service federation". W the 4th ACM workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1456424.1456432.

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Miron, Corneliu, i Marin Chirazi. "The Effect of Management and Marketing on the Dynamics of the Number of Legitimate Athletes from the Romanian Handball and Basketball Federations". W World Lumen Congress 2021, May 26-30, 2021, Iasi, Romania. LUMEN Publishing House, 2022. http://dx.doi.org/10.18662/wlc2021/46.

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The research follows the evolution of the number of legitimate athletes, of the number of coaches and of the number of departments (clubs) within two sports federations: the Romanian Basketball Federation and the Romanian Handball Federation. The statistics show a different dynamic regarding the number of legitimate athletes in the period 1992-2019, the study making a comparison between the two federations in terms of management programmes and the impact thereof on the dynamics of the number of athletes, coaches and number of departments. The research started from the hypothesis that the type of management and marketing applied at the federation level is very important because it directly influenced the existence of the number of clubs, coaches and implicitly the number of legitimate athletes, in the context in which both federations are national structures under the control of the Ministry of Youth and Sports and funded from a single source, to a large extent. The data were collected from the National Institute of Statistics of Romania, from the Ministry of Youth and Sports and from the website of the two Federations. The study refers to certain differences in the application of management and marketing strategies and the evolution of the 2 federations. The research also offers some explanations from a social, economic and political perspective of the dynamics of the compared parameters.
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Sitaram, Dinkar, H. L. Phalachandra, Sudheendra Harwalkar, Sirushti Murugesan, Pavan Sudheendra, Rohith Ananth, Vidhisha B, Abdul Hannan Kanji, Swati Chidambar Bhat i B. Kruti. "Simple Cloud Federation". W 2014 8th Asia Modelling Symposium (AMS). IEEE, 2014. http://dx.doi.org/10.1109/ams.2014.27.

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Ates, Mikaël, Jacques Fayolle, Christophe Gravier i Jeremy Lardon. "Complex federation architectures". W the 5th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1456223.1456258.

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Kimmerlin, Mael, Peer Hasselmeyer i Andreas Ripke. "Multipath cloud federation". W 2017 IEEE 6th International Conference on Cloud Networking (CloudNet). IEEE, 2017. http://dx.doi.org/10.1109/cloudnet.2017.8071543.

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Ates, Mikaël, Christophe Gravier, Jeremy Lardon, Jacques Fayolle i Bruno Sauviac. "Interoperability between Heterogeneous Federation Architectures: Illustration with SAML and WS-Federation". W 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System SITIS. IEEE, 2007. http://dx.doi.org/10.1109/sitis.2007.148.

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Raporty organizacyjne na temat "Federation"

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Lilianstrom, Al. Federation at Fermilab. Office of Scientific and Technical Information (OSTI), maj 2015. http://dx.doi.org/10.2172/1477999.

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Barton, Tom, Ken Klingenstein, Mark Rank, David Walker i Albert Wu. Formalizing the Role of Federation Proxies within the InCommon Federation. Internet2, czerwiec 2023. http://dx.doi.org/10.26869/ti.169.1.

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Orcutt, John A. Ocean Acoustic Observatory Federation. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1999. http://dx.doi.org/10.21236/ada629599.

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Orcutt, John A., Cecil H. Green i Ida M. Green. Ocean Acoustic Observatory Federation. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2001. http://dx.doi.org/10.21236/ada625503.

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Brown, E. Factors fragmenting the Russian Federation. Office of Scientific and Technical Information (OSTI), październik 1993. http://dx.doi.org/10.2172/10193745.

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Roy, Nick. InCommon Federation Security Incident Handling. Internet2, 2020. http://dx.doi.org/10.26869/ti.100.2.

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Williams, Dean N. 5th Annual Earth System Grid Federation. Office of Scientific and Technical Information (OSTI), kwiecień 2016. http://dx.doi.org/10.2172/1253685.

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Lee, Craig A., Robert B. Bohn i Martial Michel. The NIST Cloud Federation Reference Architecture. Gaithersburg, MD: National Institute of Standards and Technology, luty 2020. http://dx.doi.org/10.6028/nist.sp.500-332.

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Black, Jerry. Data Collection in an HLA Federation. Fort Belvoir, VA: Defense Technical Information Center, marzec 1999. http://dx.doi.org/10.21236/ada378558.

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Grassi, Paul A., Justin P. Richer, Sarah K. Squire, James L. Fenton, Ellen M. Nadeau, Naomi B. Lefkovitz, Jamie M. Danker, Yee-Yin Choong, Kristen K. Greene i Mary F. Theofanos. Digital identity guidelines: federation and assertions. Gaithersburg, MD: National Institute of Standards and Technology, czerwiec 2017. http://dx.doi.org/10.6028/nist.sp.800-63c.

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