Relevant bibliographies by topics / Federated cloud

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Federated cloud'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Federated cloud"

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Belmann, Peter, Björn Fischer, Jan Krüger, Michal Procházka, Helena Rasche, Manuel Prinz, Maximilian Hanussek, et al. "de.NBI Cloud federation through ELIXIR AAI." F1000Research 8 (June 10, 2019): 842. http://dx.doi.org/10.12688/f1000research.19013.1.

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The academic de.NBI Cloud offers compute resources for life science research in Germany. At the beginning of 2017, de.NBI Cloud started to implement a federated cloud consisting of five compute centers, with the aim of acting as one resource to their users. A federated cloud introduces multiple challenges, such as a central access and project management point, a unified account across all cloud sites and an interchangeable project setup across the federation. In order to implement the federation concept, de.NBI Cloud integrated with the ELIXIR authentication and authorization infrastructure system (ELIXIR AAI) and in particular Perun, the identity and access management system of ELIXIR. The integration solves the mentioned challenges and represents a backbone, connecting five compute centers which are based on OpenStack and a web portal for accessing the federation.This article explains the steps taken and software components implemented for setting up a federated cloud based on the collaboration between de.NBI Cloud and ELIXIR AAI. Furthermore, the setup and components that are described are generic and can therefore be used for other upcoming or existing federated OpenStack clouds in Europe.
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Bhuskute, Sapana Sanjay, and Sujata Kadu. "A Study on Federated Cloud Computing Environment." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 2 (July 30, 2021): 187–93. http://dx.doi.org/10.35940/ijrte.b6311.0710221.

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Federated cloud computing is the advancement in the area of the general cloud computing paradigm. In a federated cloud environment, multiple cloud service providers share their computing assets, servers, and various facilities to fulfill customer demands. Federated cloud computing terminology consists of the aggregation of services considered by interoperability characteristics and creates the integration of several cloud service providers regardless of any geographical location. It improves the performance, utilization of facilities, minimizes response time and pricing model by partial subcontracting various computing resources and facilities from the nearby cost-efficient province. Customers also get profited from service level agreements signed between the cloud service providers through intermediator cloud brokers. This work aims to survey the federated cloud environment, its various architectural types, advantages associated with the federation, challenges associated with a federated cloud environment, and future research directions in the federated cloud computing research area.
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Huedo, Eduardo, Ruben S. Montero, Rafael Moreno, Ignacio M. Llorente, Anna Levin, and Philippe Massonet. "Interoperable Federated Cloud Networking." IEEE Internet Computing 21, no. 5 (2017): 54–59. http://dx.doi.org/10.1109/mic.2017.3481337.

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Ebert, Marcus, Frank Berghaus, Kevin Casteels, Colson Driemel, Colin Leavett-Brown, Fernando Fernandez Galindo, Michael Paterson, et al. "Using a dynamic data federation for running Belle-II simulation applications in a distributed cloud environment." EPJ Web of Conferences 214 (2019): 04026. http://dx.doi.org/10.1051/epjconf/201921404026.

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The dynamic data federation software Dynafed, developed by CERN IT, provides a federated storage cluster on demand using the HTTP protocol with WebDAV extensions. Traditional storage sites which support an experiment can be added to Dynafed without requiring any changes to the site. Dynafed also supports direct access to cloud storage such as S3 and Azure. We report on the usage of Dynafed to support Belle-II production jobs running on a distributed cloud system utilizing clouds across North America. Cloudscheduler, developed by the University of Victoria HEP Research Computing group , federates Openstack, OpenNebula, Amazon, Google, and Microsoft cloud compute resources and provides them as a unified Grid site which on average runs about 3500 Belle-II production jobs in parallel. The input data for those jobs is accessible through a single endpoint, our Dynafed instance. This Dynafed instance unifies storage resources provided by Amazon S3, Ceph, and Minio object stores as endpoints, as well as storage provided by traditional DPM and dCache sites. We report on our long term experience with this setup, the implementation of a grid-mapfile based X509 authentication/authorization for Belle-II access, and we show how a federated cluster can be used by Belle-II through gfalFS.
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Rajarajeswari, C. S., and M. Aramudhan. "Ranking Model for SLA Resource Provisioning Management." International Journal of Cloud Applications and Computing 4, no. 3 (July 2014): 68–80. http://dx.doi.org/10.4018/ijcac.2014070105.

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Cloud computing is an amazing technology, which provides services to users on-demand. Since there are many providers in the cloud, users get confused in selecting the optimal cloud service provider. To overcome this limitation, federated cloud management architecture was proposed. There is no standard framework for ranking the cloud service providers in the existing federated cloud model. The proposed work provides a new federated cloud mechanism, in which Cloud Broker Manager (CBM) takes up the responsibility of resource provisioning and ranking. Differentiated Service Module (DSM) is projected in CBM that classifies the incoming users as SLA or non-SLA members. Dynamic Loose Priority Scheduling (DLPS) is proposed in CBM to manage the number of services. To reduce the overload of the CBM, a secondary CBM (sCBM) is proposed. Experimental results show that the proposed DLPS technique improves the resource provisioning and Quality of Service (QoS) to SLA members and improves the performance of federated cloud by 18% than the existing model.
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Latif, Sajid, Syed Mushhad Gilani, Rana Liaqat Ali, Misbah Liaqat, and Kwang-Man Ko. "Distributed Meta-Brokering P2P Overlay for Scheduling in Cloud Federation." Electronics 8, no. 8 (July 31, 2019): 852. http://dx.doi.org/10.3390/electronics8080852.

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The interconnected cloud (Intercloud) federation is an emerging paradigm that revolutionizes the scalable service provision of geographically distributed resources. Large-scale distributed resources require well-coordinated and automated frameworks to facilitate service provision in a seamless and systematic manner. Unquestionably, standalone service providers must communicate and federate their cloud sites with other vendors to enable the infinite pooling of resources. The pooling of these resources provides uninterpretable services to increasingly growing cloud users more efficiently, and ensures an improved Service Level Agreement (SLA). However, the research of Intercloud resource management is in its infancy. Therefore, standard interfaces, protocols, and uniform architectural components need to be developed for seamless interaction among federated clouds. In this study, we propose a distributed meta-brokering-enabled scheduling framework for provision of user application services in the federated cloud environment. Modularized architecture of the proposed system with uniform configuration in participating resource sites orchestrate the critical operations of resource management effectively, and form the federation schema. Overlaid meta-brokering instances are implemented on the top of local resource brokers to keep the global functionality isolated. These instances in overlay topology communicate in a P2P manner to maintain decentralization, high scalability, and load manageability. The proposed framework has been implemented and evaluated by extending the Java-based CloudSim 3.0.3 simulation application programming interfaces (APIs). The presented results validate the proposed model and its efficiency to facilitate user application execution with the desired QoS parameters.
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Sermakani, A. M., and D. Paulraj. "Effective Data Storage and Dynamic Data Auditing Scheme for Providing Distributed Services in Federated Cloud." Journal of Circuits, Systems and Computers 29, no. 16 (June 22, 2020): 2050259. http://dx.doi.org/10.1142/s021812662050259x.

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Recently, many organizations and industries are using the cloud computing technologies for exchanging the resources and their confidential data. For this purpose, many cloud services are available and also provide the facility to categorize their users as private and public users for accessing their own data from private cloud and public cloud. The combination of these two clouds is called federated cloud which facilitates to allow both kinds of cloud users for accessing their own data on same cloud database. In this scenario, the authorization and authentication process is becoming complex task on cloud. For providing the facility to access their own data only from federated cloud, a new secured data storage and retrieval algorithm called AES and Triple-DES-based Secured Storage and Retrieval Algorithm (ATDSRA) are proposed for storing the private and public cloud user’s data securely on cloud database. Here, the TDES is used for encrypting the input data, data merging and aggregation methods were used for grouping the encrypted input data. Moreover, a new dynamic data auditing scheme called CRT-based Dynamic Data Auditing Algorithm (CRTDDA) is proposed for conducting the cloud data auditing over the federated cloud and also restricting the data access. The proposed new auditing mechanism that is able to protect the stored data from access violence. In addition, the standard Table64 is used for encryption and decryption processes. The experimental results of this work proves the efficiency of the proposed model in terms of security level.
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Spiga, Daniele, Enol Fernandez, Vincenzo Spinoso, Diego Ciangottini, Mirco Tracolli, Giacinto Donvito, Marica Antonacci, et al. "The DODAS Experience on the EGI Federated Cloud." EPJ Web of Conferences 245 (2020): 07033. http://dx.doi.org/10.1051/epjconf/202024507033.

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The EGI Cloud Compute service offers a multi-cloud IaaS federation that brings together research clouds as a scalable computing platform for research accessible with OpenID Connect Federated Identity. The federation is not limited to single sign-on, it also introduces features to facilitate the portability of applications across providers: i) a common VM image catalogue VM image replication to ensure these images will be available at providers whenever needed; ii) a GraphQL information discovery API to understand the capacities and capabilities available at each provider; and iii) integration with orchestration tools (such as Infrastructure Manager) to abstract the federation and facilitate using heterogeneous providers. EGI also monitors the correct function of every provider and collects usage information across all the infrastructure. DODAS (Dynamic On Demand Analysis Service) is an open-source Platform-as-a-Service tool, which allows to deploy software applications over heterogeneous and hybrid clouds. DODAS is one of the so-called Thematic Services of the EOSC-hub project and it instantiates on-demand container-based clusters offering a high level of abstraction to users, allowing to exploit distributed cloud infrastructures with a very limited knowledge of the underlying technologies.This work presents a comprehensive overview of DODAS integration with EGI Cloud Federation, reporting the experience of the integration with CMS Experiment submission infrastructure system.
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Rajendran, Suraj, Jihad S. Obeid, Hamidullah Binol, Ralph D`Agostino, Kristie Foley, Wei Zhang, Philip Austin, Joey Brakefield, Metin N. Gurcan, and Umit Topaloglu. "Cloud-Based Federated Learning Implementation Across Medical Centers." JCO Clinical Cancer Informatics, no. 5 (January 2021): 1–11. http://dx.doi.org/10.1200/cci.20.00060.

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PURPOSE Building well-performing machine learning (ML) models in health care has always been exigent because of the data-sharing concerns, yet ML approaches often require larger training samples than is afforded by one institution. This paper explores several federated learning implementations by applying them in both a simulated environment and an actual implementation using electronic health record data from two academic medical centers on a Microsoft Azure Cloud Databricks platform. MATERIALS AND METHODS Using two separate cloud tenants, ML models were created, trained, and exchanged from one institution to another via a GitHub repository. Federated learning processes were applied to both artificial neural networks (ANNs) and logistic regression (LR) models on the horizontal data sets that are varying in count and availability. Incremental and cyclic federated learning models have been tested in simulation and real environments. RESULTS The cyclically trained ANN showed a 3% increase in performance, a significant improvement across most attempts ( P < .05). Single weight neural network models showed improvement in some cases. However, LR models did not show much improvement after federated learning processes. The specific process that improved the performance differed based on the ML model and how federated learning was implemented. Moreover, we have confirmed that the order of the institutions during the training did influence the overall performance increase. CONCLUSION Unlike previous studies, our work has shown the implementation and effectiveness of federated learning processes beyond simulation. Additionally, we have identified different federated learning models that have achieved statistically significant performances. More work is needed to achieve effective federated learning processes in biomedicine, while preserving the security and privacy of the data.
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Chadwick, David W., Matteo Casenove, and Kristy Siu. "My private cloud – granting federated access to cloud resources." Journal of Cloud Computing: Advances, Systems and Applications 2, no. 1 (2013): 3. http://dx.doi.org/10.1186/2192-113x-2-3.

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Dissertations / Theses on the topic "Federated cloud"

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Al, Abdulwahid Abdulwahid Abdullah. "Federated authentication using the Cloud (Cloud Aura)." Thesis, University of Plymouth, 2017. http://hdl.handle.net/10026.1/9596.

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Individuals, businesses and governments undertake an ever-growing range of activities online and via various Internet-enabled digital devices. Unfortunately, these activities, services, information and devices are the targets of cybercrimes. Verifying the user legitimacy to use/access a digital device or service has become of the utmost importance. Authentication is the frontline countermeasure of ensuring only the authorised user is granted access; however, it has historically suffered from a range of issues related to the security and usability of the approaches. Traditionally deployed in a point-of-entry mode (although a number of implementations also provide for re-authentication), the intrusive nature of the control is a significant inhibitor. Thus, it is apparent that a more innovative, convenient and secure user authentication solution is vital. This thesis reviews the authentication methods along with the current use of authentication technologies, aiming at developing a current state-of-the-art and identifying the open problems to be tackled and available solutions to be adopted. It also investigates whether these authentication technologies have the capability to fill the gap between the need for high security whilst maximising user satisfaction. This is followed by a comprehensive literature survey and critical analysis of the existing research domain on continuous and transparent multibiometric authentication. It is evident that most of the undertaken studies and proposed solutions thus far endure one or more shortcomings; for instance, an inability to balance the trade-off between security and usability, confinement to specific devices, lack or negligence of evaluating users’ acceptance and privacy measures, and insufficiency or absence of real tested datasets. It concludes that providing users with adequate protection and convenience requires innovative robust authentication mechanisms to be utilised in a universal manner. Accordingly, it is paramount to have a high level of performance, scalability, and interoperability amongst existing and future systems, services and devices. A survey of 302 digital device users was undertaken and reveals that despite the widespread interest in more security, there is a quite low number of respondents using or maintaining the available security measures. However, it is apparent that users do not avoid applying the concept of authentication security but avoid the inconvenience of its current common techniques (biometrics are having growing practical interest). The respondents’ perceptions towards Trusted Third-Party (TTP) enable utilising biometrics for a novel authentication solution managed by a TTP working on multiple devices to access multiple services. However, it must be developed and implemented considerately. A series of experimental feasibility analysis studies disclose that even though prior Transparent Authentication Systems (TAS) models performed relatively well in practice on real live user data, an enhanced model utilising multibiometric fusion outweighs them in terms of the security and transparency of the system within a device. It is also empirically established that a centralised federated authentication approach using the Cloud would help towards constructing a better user profile encompassing multibiometrics and soft biometric information from their multiple devices and thus improving the security and convenience of the technique beyond those of unimodal, the Non-Intrusive and Continuous Authentication (NICA), and the Weighted Majority Voting Fusion (WMVF) and what a single device can do by itself. Furthermore, it reduces the intrusive authentication requests by 62%-74% (of the total assumed intrusive requests without operating this model) in the worst cases. As such, the thesis proposes a novel authentication architecture, which is capable of operating in a transparent, continuous and convenient manner whilst functioning across a range of digital devices – bearing in mind it is desirable to work on differing hardware configurations, operating systems, processing capabilities and network connectivity but they are yet to be validated. The approach, entitled Cloud Aura, can achieve high levels of transparency thereby being less dependent on secret-knowledge or any other intrusive login and leveraging the available devices capabilities without requiring any external sensors. Cloud Aura incorporates a variety of biometrics from different types, i.e. physiological, behavioural, and soft biometrics and deploys an on-going identity confidence level based upon them, which is subsequently reflected on the user privileges and mapped to the risk level associated to them, resulting in relevant reaction(s). While in use, it functions with minimal processing overhead thereby reducing the time required for the authentication decision. Ultimately, a functional proof of concept prototype is developed showing that Cloud Aura is feasible and would have the provisions of effective security and user convenience.
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RODRIGUES, Thiago Gomes. "Cloudacc: a cloud-based accountability framework for federated cloud." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/18590.

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The evolution of software service delivery has changed the way accountability is performed. The complexity related to cloud computing environments increases the difficulty in properly performing accountability, since the evidences are spread through the whole infrastructure, from different servers, in physical, virtualization and application layers. This complexity increases when the cloud federation is considered because besides the inherent complexity of the virtualized environment, the federation members may not implement the same security procedures and policies. The main objective of this thesis is to propose an accountability framework named CloudAcc, that supports audit, management, planning and billing process in federated cloud environments, increasing trust and transparency. Furthermore, CloudAcc considers the legal safeguard requirements presented in Brazilian Marco Civil da Internet. We confirm the CloudAcc effectiveness when some infrastructure elements were submitted against Denial of Service (DoS) and Brute Force attacks, and our framework was able to detect them. Facing the results obtained, we can conclude that CloudAcc contributes to the state-of-the-art once it provides the holistic vision of the cloud federated environment through the evidence collection considering the three layers, supporting audit, management, planning and billing process in federated cloud environments.
A maneira de realizar accountability tem variado à medida em que o modo de entrega de serviços de Tecnologia da Informação (TI) tem evoluído. Em ambientes de nuvem a complexidade de realizar accountability apropriadamente é alta porque as evidências devem ser coletadas considerando-se as camadas física, de virtualização e de aplicações, que estão espalhadas em diferentes servidores e elementos da infraestrutura. Esta complexidade é ampliada quando ocorre a federação das infraestruturas de nuvem porque além da complexidade inerente ao ambiente virtualizado, os membros da federação podem não ter os mesmos grupos de políticas e práticas de segurança. O principal objetivo desta tese é propor um framework de accountability, denominado CloudAcc, que suporte processos de auditoria, gerenciamento, planejamento e cobrança, em nuvens federadas, aumentando a confiança e a transparência. Além disso, o CloudAcc também considera os requisitos legais para a salvaguarda dos registros, conforme descrito no Marco Civil da Internet brasileira. A efetividade do CloudAcc foi confirmada quando alguns componentes da infraestrutura da nuvem foram submetidos a ataques de negação de serviço e de força bruta, e o framework foi capaz de detectá-los. Diante dos resultados obtidos, pode-se concluir que o CloudAcc contribui para o estado-da-arte, uma vez que fornece uma visão holística do ambiente de nuvem federada através da coleta de evidências em três camadas suportando os processos de auditoria, gerenciamento, planejamento e cobrança.
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Liverani, Tommaso. "Federated Learning per Applicazioni Edge Cloud su Piattaforma fog05." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Federated learning è sicuramente una delle tecniche di machine learning di maggiore interesse attualmente. Esso trova applicazione nello scenario fog computing in cui risulta spesso necessario mantenere la riservatezza dei dati mantenuti nei nodi fog. La riservatezza dei dati è infatti una delle caratteristiche peculiari dei processi di federated learning. In tali scenari risulta particolarmente utile impiegare una piattaforma con supporto alla migrazione che potrà essere utilizzato per implementare determinati meccanismi come il bilanciamento di carico. Questo supporto potrà quindi essere impiegato per la migrazione di entità coinvolte tra nodi fog in un'architettura edge-cloud o per abilitare futuri scenari completamente decentralizzati. L'obiettivo della tesi è quindi la realizzazione di un'applicazione per federated learning con supporto alla migrazione per architetture edge-cloud. A tale scopo si è scelto di utilizzare fog05. Fog05 è una piattaforma per fog computing con supporto alla migrazione che presenta caratteristiche particolarmente innovative e interessanti rispetto alle soluzioni attualmente diffuse. Fog05 permette la gestione di sistemi estremamente eterogenei attraverso l’utilizzo di plugin che le consentono di interagire con tecnologie differenti come lxd,docker e kvm. In una prima fase abbiamo quindi realizzato l’applicazione descritta tramite fog05 mentre in una seconda fase abbiamo studiato e testato il supporto alla migrazione di fog05 rispetto alle tecnologie supportate.
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Silva, Francisco Airton Pereira da. "Monext: an accounting framework for federated clouds." Universidade Federal de Pernambuco, 2013. https://repositorio.ufpe.br/handle/123456789/11989.

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Cloud computing has become an established paradigm for running services on external infrastructure that dynamically allocates virtually unlimited capacity. This paradigm creates a new scenario for the deployment of applications and information technology (IT) services. In this model, complete applications and machine infrastructure are offered to users, who are charged only for the resources they consume. Thus, cloud resources are offered through service abstractions classified into three main categories: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). In IaaS, computing resources are offered as virtual machines to the end user. The aim to offer such unlimited resources necessitates distributing these virtual machines through multiple data centers. This distribution makes harder to fulfill a number of requirements including security, reliability, availability, and accounting. Accounting refers to how resources are recorded, accounted for, and charged. Even for a single cloud provider this task is hard, and it becomes more difficult for a federation of cloud computing, or federated cloud, in which a cloud provider dynamically outsources resources to other providers in response to demand variation. Thus, a cluster of clouds shares heterogeneous resources, requiring greater effort to manage and accurately account for the distributed resources. Some earlier research has addressed the development of platforms for federated clouds but without considering the accounting requirement. This dissertation presents a framework for charging IaaS with a focus on federated cloud. In order to gather information about this topic area and to generate guidelines for building the framework, we applied a systematic mapping study. This dissertation also presents an initial validation of the tool through a case study, showing evidence that the requirements generated through the mapping study were fulfilled by the framework and presenting indications of its feasibility in a real cloud service scenario
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A Computação na Nuvem se tornou um paradigma consumado para executar serviços em infraestruturas externas, onde de uma forma virtual a capacidade praticamente ilimitada pode ser alocada dinamicamente. Este paradigma estabelece um novo cenário para a implantação de aplicações e serviços de TI. Neste modelo, desde aplicações completas até infraestrutura de máquinas são ofertadas a usuários, que são cobrados apenas pelo uso dos recursos consumidos. Desta forma, os bens de consumo da nuvem são ofertados através de abstrações de serviços, onde atualmente são citadas três principais categorias: Software como Serviço (SaaS), Plataforma como Serviço (PaaS) e Infraestrutura como Serviço (IaaS). No caso do IaaS são oferecidos recursos computacionais na forma de Máquinas Virtuais para o cliente final. Para atingir o aspecto ilimitado de recursos é necessário distribuir estas Máquinas Virtuais por vários Data Centers. Esta distribuição dificulta atender uma série de requisitos como Segurança, Confiabilidade, Disponibilidade e a Tarifação pelos recursos consumidos. A Tarifação refere-se a como os recursos são registrados, contabilizados e cobrados. Mesmo no caso de um único provedor esta tarefa não é fácil e existe um contexto em que esta dificuldade se torna ainda maior, conhecida como Federação de Computação na Nuvem ou também chamadas de Nuvens Federadas. Nuvens Federadas ocorrem quando um provedor de Computação na Nuvem terceiriza recursos dinamicamente para outros provedores em resposta à variação da demanda. Desta forma ocorre um aglomerado de nuvens, porém seus recursos são heterogêneos, acarretando num maior esforço para gerenciar os recursos distribuídos e por consequência para a Tarifação. Neste contexto foram identificadas pesquisas nesta área sobre plataformas para Nuvens Federadas, que não abordam o requisito de Tarifação. Esta dissertação apresenta um framework voltado à tarifação de Infraestrutura como Serviço com foco em Nuvens Federadas. Objetivando colher informações sobre esta área e consequentemente gerar insumos para fundamentar as decisões na construção do framework, foi aplicado um Estudo de Mapeamento Sistemático. Esta dissertação também apresenta uma validação inicial da ferramenta, através de um estudo experimental, mostrando indícios de que os requisitos gerados pelo Mapeamento Sistemático foram atendidos, bem como será viável a aplicação da solução por provedores de serviços de nuvem em um cenário real.
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MacDermott, A. M. "Collaborative intrusion detection in federated cloud environments using Dempster-Shafer theory of evidence." Thesis, Liverpool John Moores University, 2017. http://researchonline.ljmu.ac.uk/7609/.

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Moving services to the Cloud environment is a trend that has been increasing in recent years, with a constant increase in sophistication and complexity of such services. Today, even critical infrastructure operators are considering moving their services and data to the Cloud. As Cloud computing grows in popularity, new models are deployed to further the associated benefits. Federated Clouds are one such concept, which are an alternative for companies reluctant to move their data out of house to a Cloud Service Providers (CSP) due to security and confidentiality concerns. Lack of collaboration among different components within a Cloud federation, or among CSPs, for detection or prevention of attacks is an issue. For protecting these services and data, as Cloud environments and Cloud federations are large scale, it is essential that any potential solution should scale alongside the environment adapt to the underlying infrastructure without any issues or performance implications. This thesis presents a novel architecture for collaborative intrusion detection specifically for CSPs within a Cloud federation. Our approach offers a proactive model for Cloud intrusion detection based on the distribution of responsibilities, whereby the responsibility for managing the elements of the Cloud is distributed among several monitoring nodes and brokering, utilising our Service-based collaborative intrusion detection – “Security as a Service” methodology. For collaborative intrusion detection, the Dempster-Shafer (D-S) theory of evidence is applied, executing as a fusion node with the role of collecting and fusing the information provided by the monitoring entities, taking the final decision regarding a possible attack. This type of detection and prevention helps increase resilience to attacks in the Cloud. The main novel contribution of this project is that it provides the means by which DDoS attacks are detected within a Cloud federation, so as to enable an early propagated response to block the attack. This inter-domain cooperation will offer holistic security, and add to the defence in depth. However, while the utilisation of D-S seems promising, there is an issue regarding conflicting evidences which is addressed with an extended two stage D-S fusion process. The evidence from the research strongly suggests that fusion algorithms can play a key role in autonomous decision making schemes, however our experimentation highlights areas upon which improvements are needed before fully applying to federated environments.
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Zapolskas, Vytautas. "Securing Cloud Storage Service." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for telematikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18626.

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Cloud computing brought flexibility, scalability, and capital cost savings to the IT industry. As more companies turn to cloud solutions, securing cloud based services becomes increasingly important, because for many organizations, the final barrier to adopting cloud computing is whether it is sufficiently secure.More users rely on cloud storage as it is mainly because cloud storage is available to be used by multiple devices (e.g. smart phones, tablets, notebooks, etc.) at the same time. These services often offer adequate protection to user's private data. However, there were cases where user's private data was accessible to other user's, since this data is stored in a multi-tenant environment. These incidents reduce the trust of cloud storage service providers, hence there is a need to securely migrate data from one cloud storage provider to another.This thesis proposes a design of a service for providing Security as a Service for cloud brokers in a federated cloud. This scheme allows customers to securely migrate from one provider to another. To enable the design of this scheme, possible security and privacy risks of a cloud storage service were analysed and identified. Moreover, in order to successfully protect private data, data protection requirements (for data retention, sanitization, and processing) were analysed. The proposed service scheme utilizes various encryption techniques and also includes identity and key management mechanisms, such as "federated identity management".While our proposed design meets most of the defined security and privacy requirements, it is still unknown how to properly handle data sanitization, to meet data protection requirements, and provide users data recovery capabilities (backups, versioning, etc.).
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Rinaldi, Riccardo. "Deployment e Gestione di Applicazioni di Federated Learning in Edge Cloud Computing basate sul Framework Fog05." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Il Federated Learning è la nuova branca del Machine Learning nata per sopperire al bisogno di nuovi sistemi architetturali che siano in grado di gestire i Big Data e allo stesso tempo garantire la privacy di eventuali dati sensibili. Per poter operare a queste due condizioni si è pensato di raccogliere i dati in un database centralizzato in modo che questi non lascino mai i margini della rete. Ecco perché è subentrato il mondo dell’edge computing in cui dispositivi intelligenti, posti tra il cloud e le Things, hanno il compito di pre-processare i dati raccolti per poi aggregarli su un unico server. Federated Learning e Edge/Cloud Computing sono due facce della stessa medaglia. I due mondi sono infatti profondamente interconnessi poiché fare Federated Learning vuol dire operare in un ambiente di tipo edge e cloud.
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Ariyattu, Resmi. "Towards federated social infrastructures for plug-based decentralized social networks." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S031/document.

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Dans cette thèse, nous abordons deux problèmes soulevés par les systèmes distribués décentralisés - le placement de réseaux logiques de façon compatible avec le réseau physique sous-jacent et la construction de cohortes d'éditeurs pour dans les systèmes d'édition collaborative. Bien que les réseaux logiques (overlay networks) été largement étudiés, la plupart des systèmes existant ne prennent pas ou prennent mal en compte la topologie du réseau physique sous-jacent, alors que la performance de ces systèmes dépend dans une grande mesure de la manière dont leur topologie logique exploite la localité présente dans le réseau physique sur lequel ils s'exécutent. Pour résoudre ce problème, nous proposons dans cette thèse Fluidify, un mécanisme décentralisé pour le déploiement d'un réseau logique sur une infrastructure physique qui cherche à maximiser la localité du déploiement. Fluidify utilise une stratégie double qui exploite à la fois les liaisons logiques d'un réseau applicatif et la topologie physique de son réseau sous-jacent pour aligner progressivement l'une avec l'autre. Le protocole résultant est générique, efficace, évolutif et peut améliorer considérablement les performances de l'ensemble. La deuxième question que nous abordons traite des plates-formes d'édition collaborative. Ces plates-formes permettent à plusieurs utilisateurs distants de contribuer simultanément au même document. Seuls un nombre limité d'utilisateurs simultanés peuvent être pris en charge par les éditeurs actuellement déployés. Un certain nombre de solutions pair-à-pair ont donc été proposées pour supprimer cette limitation et permettre à un grand nombre d'utilisateurs de collaborer sur un même document sans aucune coordination centrale. Ces plates-formes supposent cependant que tous les utilisateurs d'un système éditent le même jeu de document, ce qui est peu vraisemblable. Pour ouvrir la voie à des systèmes plus flexibles, nous présentons, Filament, un protocole décentralisé de construction de cohorte adapté aux besoins des grands éditeurs collaboratifs. Filament élimine la nécessité de toute table de hachage distribuée (DHT) intermédiaire et permet aux utilisateurs travaillant sur le même document de se retrouver d'une manière rapide, efficace et robuste en générant un champ de routage adaptatif autour d'eux-mêmes. L'architecture de Filament repose sur un ensemble de réseaux logiques auto-organisées qui exploitent les similarités entre jeux de documents édités par les utilisateurs. Le protocole résultant est efficace, évolutif et fournit des propriétés bénéfiques d'équilibrage de charge sur les pairs impliqués
In this thesis, we address two issues in the area of decentralized distributed systems: network-aware overlays and collaborative editing. Even though network overlays have been extensively studied, most solutions either ignores the underlying physical network topology, or uses mechanisms that are specific to a given platform or applications. This is problematic, as the performance of an overlay network strongly depends on the way its logical topology exploits the underlying physical network. To address this problem, we propose Fluidify, a decentralized mechanism for deploying an overlay network on top of a physical infrastructure while maximizing network locality. Fluidify uses a dual strategy that exploits both the logical links of an overlay and the physical topology of its underlying network to progressively align one with the other. The resulting protocol is generic, efficient, scalable and can substantially improve network overheads and latency in overlay based systems. The second issue that we address focuses on collaborative editing platforms. Distributed collaborative editors allow several remote users to contribute concurrently to the same document. Only a limited number of concurrent users can be supported by the currently deployed editors. A number of peer-to-peer solutions have therefore been proposed to remove this limitation and allow a large number of users to work collaboratively. These decentralized solution assume however that all users are editing the same set of documents, which is unlikely to be the case. To open the path towards more flexible decentralized collaborative editors, we present Filament, a decentralized cohort-construction protocol adapted to the needs of large-scale collaborative editors. Filament eliminates the need for any intermediate DHT, and allows nodes editing the same document to find each other in a rapid, efficient and robust manner by generating an adaptive routing field around themselves. Filament's architecture hinges around a set of collaborating self-organizing overlays that utilizes the semantic relations between peers. The resulting protocol is efficient, scalable and provides beneficial load-balancing properties over the involved peers
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Espling, Daniel. "Enabling Technologies for Management of Distributed Computing Infrastructures." Doctoral thesis, Umeå universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-80129.

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Computing infrastructures offer remote access to computing power that can be employed, e.g., to solve complex mathematical problems or to host computational services that need to be online and accessible at all times. From the perspective of the infrastructure provider, large amounts of distributed and often heterogeneous computer resources need to be united into a coherent platform that is then made accessible to and usable by potential users. Grid computing and cloud computing are two paradigms that can be used to form such unified computational infrastructures. Resources from several independent infrastructure providers can be joined to form large-scale decentralized infrastructures. The primary advantage of doing this is that it increases the scale of the available resources, making it possible to address more complex problems or to run a greater number of services on the infrastructures. In addition, there are advantages in terms of factors such as fault-tolerance and geographical dispersion. Such multi-domain infrastructures require sophisticated management processes to mitigate the complications of executing computations and services across resources from different administrative domains. This thesis contributes to the development of management processes for distributed infrastructures that are designed to support multi-domain environments. It describes investigations into how fundamental management processes such as scheduling and accounting are affected by the barriers imposed by multi-domain deployments, which include technical heterogeneity, decentralized and (domain-wise) self-centric decision making, and a lack of information on the state and availability of remote resources. Four enabling technologies or approaches are explored and developed within this work: (I) The use of explicit definitions of cloud service structure as inputs for placement and management processes to ensure that the resulting placements respect the internal relationships between different service components and any relevant constraints. (II) Technology for the runtime adaptation of Virtual Machines to enable the automatic adaptation of cloud service contexts in response to changes in their environment caused by, e.g., service migration across domains. (III) Systems for managing meta-data relating to resource usage in multi-domain grid computing and cloud computing infrastructures. (IV) A global fairshare prioritization mechanism that enables computational jobs to be consistently prioritized across a federation of several decentralized grid installations. Each of these technologies will facilitate the emergence of decentralized computational infrastructures capable of utilizing resources from diverse infrastructure providers in an automatic and seamless manner.

Note that the author changed surname from Henriksson to Espling in 2011

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Espling, Daniel. "Metadata Management in Multi-Grids and Multi-Clouds." Licentiate thesis, Umeå universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-51159.

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Grid computing and cloud computing are two related paradigms used to access and use vast amounts of computational resources. The resources are often owned and managed by a third party, relieving the users from the costs and burdens of acquiring and managing a considerably large infrastructure themselves. Commonly, the resources are either contributed by different stakeholders participating in shared projects (grids), or owned and managed by a single entity and made available to its users with charging based on actual resource consumption (clouds). Individual grid or cloud sites can form collaborations with other sites, giving each site access to more resources that can be used to execute tasks submitted by users. There are several different models of collaborations between sites, each suitable for different scenarios and each posing additional requirements on the underlying technologies. Metadata concerning the status and resource consumption of tasks are created during the execution of the task on the infrastructure. This metadata is used as the primary input in many core management processes, e.g., as a base for accounting and billing, as input when prioritizing and placing incoming task, and as a base for managing the amount of resources allocated to different tasks. Focusing on management and utilization of metadata, this thesis contributes to a better understanding of the requirements and challenges imposed by different collaboration models in both grids and clouds. The underlying design criteria and resulting architectures of several software systems are presented in detail. Each system addresses different challenges imposed by cross-site grid and cloud architectures: The LUTSfed approach provides a lean and optional mechanism for filtering and management of usage data between grid or cloud sites. An accounting and billing system natively designed to support cross-site clouds demonstrates usage data management despite unknown placement and dynamic task resource allocation. The FSGrid system enables fairshare job prioritization across different grid sites, mitigating the problems of heterogeneous scheduling software and local management policies. The results and experiences from these systems are both theoretical and practical, as full scale implementations of each system has been developed and analyzed as a part of this work. Early theoretical work on structure-based service management forms a foundation for future work on structured-aware service placement in cross- site clouds.
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Books on the topic "Federated cloud"

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Villari, Massimo, Ivona Braidic, and Francesco Tusa. Achieving federated and self-manageable cloud infrastructures: Theory and practice. Hershey, PA: Business Science Reference, 2012.

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Book chapters on the topic "Federated cloud"

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Rochwerger, Benny, Constantino Vázquez, David Breitgand, David Hadas, Massimo Villari, Philippe Massonet, Eliezer Levy, et al. "An Architecture for Federated Cloud Computing." In Cloud Computing, 391–411. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470940105.ch15.

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Luo, Weiliang, Li Xu, Zhenxin Zhan, Qingji Zheng, and Shouhuai Xu. "Federated Cloud Security Architecture for Secure and Agile Clouds." In High Performance Cloud Auditing and Applications, 169–88. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-3296-8_7.

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Kondikoppa, Praveenkumar, Chui-Hui Chiu, and Seung-Jong Park. "MapReduce Performance in Federated Cloud Computing Environments." In High Performance Cloud Auditing and Applications, 301–22. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-3296-8_12.

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Ruggeri, Armando, Maria Fazio, Antonio Celesti, and Massimo Villari. "Blockchain-Based Healthcare Workflows in Federated Hospital Clouds." In Service-Oriented and Cloud Computing, 113–21. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44769-4_9.

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Thatmann, Dirk, Mathias Slawik, Sebastian Zickau, and Axel Küpper. "Towards a Federated Cloud Ecosystem: Enabling Managed Cloud Service Consumption." In Economics of Grids, Clouds, Systems, and Services, 223–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35194-5_17.

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Weerasiri, Denis, Boualem Benatallah, and Moshe Chai Barukh. "Process-driven Configuration of Federated Cloud Resources." In Database Systems for Advanced Applications, 334–50. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18120-2_20.

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Papazoglou, Mike P. "Cloud Blueprint: A Model-Driven Approach to Configuring Federated Clouds." In Model and Data Engineering, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33609-6_1.

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Pawar, Pramod S., Ali Sajjad, Theo Dimitrakos, and David W. Chadwick. "Security-as-a-Service in Multi-cloud and Federated Cloud Environments." In Trust Management IX, 251–61. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18491-3_21.

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Li, Xiaocui, and Zhangbing Zhou. "Energy-Aware Marginal Multi-attribute Federated Query in IoT Networks." In Green, Pervasive, and Cloud Computing, 335–46. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64243-3_25.

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Veloso, Bruno, Benedita Malheiro, and Juan Carlos Burguillo. "CloudAnchor: Agent-Based Brokerage of Federated Cloud Resources." In Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection, 207–18. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39324-7_18.

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Conference papers on the topic "Federated cloud"

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Levin, Anna, and Philippe Massonet. "Enabling federated cloud networking." In SYSTOR 2015: International Conference on Systems and Storage. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2757667.2778189.

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Paraiso, Fawaz, Nicolas Haderer, Philippe Merle, Romain Rouvoy, and Lionel Seinturier. "A Federated Multi-cloud PaaS Infrastructure." In 2012 IEEE 5th International Conference on Cloud Computing (CLOUD). IEEE, 2012. http://dx.doi.org/10.1109/cloud.2012.79.

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Afgan, Enis, Vahid Jalili, Nuwan Goonasekera, James Taylor, and Jeremy Goecks. "Federated Galaxy: Biomedical Computing at the Frontier." In 2018 IEEE 11th International Conference on Cloud Computing (CLOUD). IEEE, 2018. http://dx.doi.org/10.1109/cloud.2018.00124.

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Vernik, Gil, Alexandra Shulman-Peleg, Sebastian Dippl, Ciro Formisano, Michael C. Jaeger, Elliot K. Kolodner, and Massimo Villari. "Data On-Boarding in Federated Storage Clouds." In 2013 IEEE 6th International Conference on Cloud Computing (CLOUD). IEEE, 2013. http://dx.doi.org/10.1109/cloud.2013.54.

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Diaz, Cesar O., Carlos E. Gomez, Harold E. Castro, Carlos J. Barrios, and Holman D. Bolivar. "Federated Campus Cloud Colombian Initiative." In 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). IEEE, 2016. http://dx.doi.org/10.1109/ccgrid.2016.48.

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"On-demand Cloud Architecture for Academic Community Cloud - Another Approach to Inter-cloud Collaboration." In Special Session on Federated Cloud Governance. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004969606610670.

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Jayaram, K. R., Archit Verma, Ashish Verma, Gegi Thomas, and Colin Sutcher-Shepard. "MYSTIKO: Cloud-Mediated, Private, Federated Gradient Descent." In 2020 IEEE 13th International Conference on Cloud Computing (CLOUD). IEEE, 2020. http://dx.doi.org/10.1109/cloud49709.2020.00039.

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Santana-Perez, Idafen, and Maria S. Perez-Hern'ndez. "A Semantic Scheduler Architecture for Federated Hybrid Clouds." In 2012 IEEE 5th International Conference on Cloud Computing (CLOUD). IEEE, 2012. http://dx.doi.org/10.1109/cloud.2012.43.

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Mon-Yen Luo, Shang-Wei Lin, and Jun-Yi Chen. "Towards Network Virtualization Management for Federated Cloud Systems." In 2013 IEEE 6th International Conference on Cloud Computing (CLOUD). IEEE, 2013. http://dx.doi.org/10.1109/cloud.2013.134.

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Mor´n, Daniel, Luis M. Vaquero, and Fermin Gal´n. "Elastically Ruling the Cloud: Specifying Application's Behavior in Federated Clouds." In 2011 IEEE 4th International Conference on Cloud Computing (CLOUD). IEEE, 2011. http://dx.doi.org/10.1109/cloud.2011.53.

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Reports on the topic "Federated cloud"

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Garzoglio, Gabriele. Enabling On-Demand Scientific Workflows on a Federated Cloud. Office of Scientific and Technical Information (OSTI), November 2014. http://dx.doi.org/10.2172/1333133.

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Garzoglio, Gabriele. Data Intensive Scientific Workflows on a Federated Cloud: CRADA Final Report. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1333843.

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Garzoglio, Gabriele. Integration and Commissioning of a Prototype Federated Cloud for Scientific Workflows. Office of Scientific and Technical Information (OSTI), January 2013. http://dx.doi.org/10.2172/1333134.

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