Relevant bibliographies by topics / Cloud federation

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  1. Journal articles

Academic literature on the topic 'Cloud federation'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 June 2025

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Journal articles on the topic "Cloud federation"

1

Ghenai, Afifa, and Chems Eddine Nouioua. "Federation-Level Agreement and Integrity-Based Managed Cloud Federation Architecture." Journal of Information Technology Research 13, no. 4 (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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2

Wu, Shuyou, Zhengxiao Wu, Xiaohong Wu, Jie Tao, and Yonggen Gu. "Queuing-Based Federation and Optimization for Cloud Resource Sharing." Information 13, no. 8 (2022): 361. http://dx.doi.org/10.3390/info13080361.

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Resource sharing can gain economies of scale and increase utilization of cloud infrastructure, a critical challenge of which is how to design efficient resource sharing solutions among self-interested cloud providers. Cloud federation can realize resource sharing, but the existing methods of forming federation need complex computation to guarantee the stability of federation. To address this shortcoming, after analyzing an optimal allocation approach of service requests among clouds, we propose a pareto optimal resource sharing solution named Cloud Light-Federation Sharing (CLFS), in which each cloud can choose its own optimal strategies individually and federation can be formed without complex computation for allocation of service requests and profits. In addition, an optimal resource sharing solution named Cloud Cooperative-Federation Sharing (CCFS) was also designed, in which cloud providers are fully cooperative and have fair profit allocation. The experimental results show that the two federation methods can significantly improve the total utility and decrease the number of dropped jobs. Although the federation rules of Cloud Light-Federation Sharing are simple, its performance is still very close to that of Cloud Cooperative-Federation Sharing.
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3

Belmann, Peter, Björn Fischer, Jan Krüger, 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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4

Zefferer, Thomas, Dominik Ziegler, and Andreas Reiter. "A Federation of Federations: Secure Cloud Federations meet European Identity Federations." International Journal for Information Security Research 8, no. 1 (2018): 774–84. http://dx.doi.org/10.20533/ijisr.2042.4639.2018.0089.

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5

Thomas, Manoj V., and K. Chandrasekaran. "Dynamic partner selection in Cloud Federation for ensuring the quality of service for cloud consumers." International Journal of Modeling, Simulation, and Scientific Computing 08, no. 03 (2017): 1750036. http://dx.doi.org/10.1142/s1793962317500362.

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Cloud Computing has become the popular paradigm for accessing the various scalable and on-demand computing services over the internet. Nowadays, individual Cloud Service Providers (CSPs) offering specialized services to the customers collaborate to form the Cloud Federation, in order to reap the real benefits of Cloud Computing. By collaboration, the member CSPs of the federation achieve better resource utilization and Quality of Service (QoS), thereby increasing their business prospects. When a CSP runs out of resources in the Cloud Federation, in order to offload the customer requests for resources to other CSP(s), identifying a suitable partner is a challenging task due to the lack of global coordination among them. In this paper, we propose the design and implementation of an efficient partner selection mechanism in the Cloud Federation, using the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods, and also considering the trust values of various CSPs in the federation. The AHP method is used to calculate the weights of the QoS parameters used in the TOPSIS method which is used to rank the various CSPs in the Cloud Federation according to the user requirements. Simulation results show the effectiveness of this approach in order to efficiently select the trustworthy partners in large scale federations to ensure the required QoS to the cloud consumers.
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6

Sitaram, Dinkar, H. L. Phalachandra, Anush Vishwanath, et al. "Security Infrastructure for Hybrid Clouds and Cloud Federation." Journal of Internet Technology and Secured Transaction 3, no. 2 (2014): 263–70. http://dx.doi.org/10.20533/jitst.2046.3723.2014.0034.

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7

Kim, Dongmin, Hanif Muhammad, Eunsam Kim, Sumi Helal, and Choonhwa Lee. "TOSCA-Based and Federation-Aware Cloud Orchestration for Kubernetes Container Platform." Applied Sciences 9, no. 1 (2019): 191. http://dx.doi.org/10.3390/app9010191.

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Kubernetes, a container orchestration tool for automatically installing and managing Docker containers, has recently begun to support a federation function of multiple Docker container clusters. This technology, called Kubernetes Federation, allows developers to increase the responsiveness and reliability of their applications by distributing and federating container clusters to multiple service areas of cloud service providers. However, it is still a daunting task to manually manage federated container clusters across all the service areas or to maintain the entire topology of cloud applications at a glance. This research work proposes a method to automatically form and monitor Kubernetes Federation, given application topology descriptions in TOSCA (Topology and Orchestration Specification for Cloud Applications), by extending the orchestration tool that automatizes the modeling and instantiation of cloud applications. It also demonstrates the successful federation of the clusters according to the TOSCA specifications and verifies the auto-scaling capability of the configured system through a scenario in which the servers of a sample application are deployed and federated.
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8

Kogias, Dimitrios G., Michael G. Xevgenis, and Charalampos Z. Patrikakis. "Cloud Federation and the Evolution of Cloud Computing." Computer 49, no. 11 (2016): 96–99. http://dx.doi.org/10.1109/mc.2016.344.

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9

Nourah Fahad Janbi, Nourah Fahad Janbi. "Peer to Peer Cloud Providers Federation." journal of king abdulaziz university computing and information technology sciences 8, no. 1 (2019): 59–69. http://dx.doi.org/10.4197/comp.8-1.6.

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The increasing demand of the cloud services and with the emergence of many could service providers, the need for cloud federation is inevitable. In cloud federation, many could services providers are collaborating with each other to improve the resources usage, cost, quality of service they provide. To form this federation a management framework is required to facilitate the communication between these providers. This framework can be centralized or distributed, distributed Peer to Peer cloud federation improve extensibility, scalability and fault-tolerant. On the other hand, it is challenging in term of complexity, security and manageability of the federation. In this paper we propose a fully distributed P2P Cloud Federation (PPCF) architecture. PPCF provide a way to connect heterogenous cloud providers to share resources and improve the cloud elasticity. The architecture combines different software technologies to fulfil the cloud federation requirements.
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10

Spiga, Daniele, Enol Fernandez, Vincenzo Spinoso, 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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