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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 (October 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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Wu, Shuyou, Zhengxiao Wu, Xiaohong Wu, Jie Tao, and Yonggen Gu. "Queuing-Based Federation and Optimization for Cloud Resource Sharing." Information 13, no. 8 (July 28, 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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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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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 (March 30, 2018): 774–84. http://dx.doi.org/10.20533/ijisr.2042.4639.2018.0089.

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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 (September 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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Sitaram, Dinkar, H. L. Phalachandra, Anush Vishwanath, Pramod Ramesh, Meghana Prashanth, Akshay G. Joshi, Anoop R. Desai, et al. "Security Infrastructure for Hybrid Clouds and Cloud Federation." Journal of Internet Technology and Secured Transaction 3, no. 2 (June 1, 2014): 263–70. http://dx.doi.org/10.20533/jitst.2046.3723.2014.0034.

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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 (January 7, 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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Kogias, Dimitrios G., Michael G. Xevgenis, and Charalampos Z. Patrikakis. "Cloud Federation and the Evolution of Cloud Computing." Computer 49, no. 11 (November 2016): 96–99. http://dx.doi.org/10.1109/mc.2016.344.

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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 (April 3, 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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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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Yao, Meng Di, Dong Lin Chen, and Xin Chen. "Scheduling System for Cloud Federation across Multi-Data Center." Applied Mechanics and Materials 457-458 (October 2013): 839–43. http://dx.doi.org/10.4028/www.scientific.net/amm.457-458.839.

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In the cloud computing federation, the method of cloud computing federation resource scheduling has been introduced to allocate the users requested tasks reasonably to the providers. In the present, single cloud providers method and system of resource scheduling dont apply to the cloud federation environment. Therefore, the solution to the problem of resource scheduling in cloud federation cross data center has become a key technology. The system, mainly about the resource scheduling algorithms across data center, presents the framework and major function of the cloud federation environment cross the datacenter. Furthermore, through Cloudsim, a Web server based system platform was built. Finally, the system proved that it can meet the complicated large-scale demand of users as well as increase the efficiency and profit of resource scheduling among the providers in cloud federation.
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Ray, Benay Kumar, Avirup Saha, Sunirmal Khatua, and Sarbani Roy. "Toward maximization of profit and quality of cloud federation: solution to cloud federation formation problem." Journal of Supercomputing 75, no. 2 (September 26, 2018): 885–929. http://dx.doi.org/10.1007/s11227-018-2620-2.

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Ahmed, Usama, Imran Raza, and Syed Asad Hussain. "Trust Evaluation in Cross-Cloud Federation." ACM Computing Surveys 52, no. 1 (February 28, 2019): 1–37. http://dx.doi.org/10.1145/3292499.

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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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Zhanikeev, Marat. "A cloud visitation platform to facilitate cloud federation and fog computing." Computer 48, no. 5 (May 2015): 80–83. http://dx.doi.org/10.1109/mc.2015.122.

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Nimkar, Anant V., and Soumya K. Ghosh. "Caucus: an authentication protocol for cloud federation." International Journal of Trust Management in Computing and Communications 4, no. 2 (2018): 111. http://dx.doi.org/10.1504/ijtmcc.2018.095609.

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Nimkar, Anant V., and Soumya K. Ghosh. "Caucus: an authentication protocol for cloud federation." International Journal of Trust Management in Computing and Communications 4, no. 2 (2018): 111. http://dx.doi.org/10.1504/ijtmcc.2018.10016763.

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Furano, Fabrizio, Oliver Keeble, and Laurence Field. "Dynamic federation of grid and cloud storage." Physics of Particles and Nuclei Letters 13, no. 5 (September 2016): 629–33. http://dx.doi.org/10.1134/s1547477116050186.

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19

Villegas, David, Norman Bobroff, Ivan Rodero, Javier Delgado, Yanbin Liu, Aditya Devarakonda, Liana Fong, S. Masoud Sadjadi, and Manish Parashar. "Cloud federation in a layered service model." Journal of Computer and System Sciences 78, no. 5 (September 2012): 1330–44. http://dx.doi.org/10.1016/j.jcss.2011.12.017.

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V. Thomas, Manoj, Anand Dhole, and K. Chandrasekaran. "Single Sign-On in Cloud Federation using CloudSim." International Journal of Computer Network and Information Security 7, no. 6 (May 8, 2015): 50–58. http://dx.doi.org/10.5815/ijcnis.2015.06.06.

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Biran, Yahav, Sudeep Pasricha, George Collins, and Joel Dubow. "Clean Energy Use for Cloud Computing Federation Workloads." Advances in Science, Technology and Engineering Systems Journal 2, no. 6 (August 2017): 1–12. http://dx.doi.org/10.25046/aj020601.

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Chen, Gang, H. V. Jagadish, Dawei Jiang, David Maier, Beng Chin Ooi, Kian-Lee Tan, and Wang-Chiew Tan. "Federation in Cloud Data Management: Challenges and Opportunities." IEEE Transactions on Knowledge and Data Engineering 26, no. 7 (July 1, 2014): 1670–78. http://dx.doi.org/10.1109/tkde.2014.2326659.

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Abadi, Behnam Bagheri Ghavam, and Mostafa Ghobaei Arani. "Resource Management of IaaS Providers in Cloud Federation." International Journal of Grid and Distributed Computing 8, no. 5 (October 31, 2015): 327–36. http://dx.doi.org/10.14257/ijgdc.2015.8.5.32.

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Aazam, Mohammad, and Eui-Nam Huh. "Framework of Resource Management for Intercloud Computing." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/108286.

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There has been a very rapid increase in digital media content, due to which media cloud is gaining importance. Cloud computing paradigm provides management of resources and helps create extended portfolio of services. Through cloud computing, not only are services managed more efficiently, but also service discovery is made possible. To handle rapid increase in the content, media cloud plays a very vital role. But it is not possible for standalone clouds to handle everything with the increasing user demands. For scalability and better service provisioning, at times, clouds have to communicate with other clouds and share their resources. This scenario is called Intercloud computing or cloud federation. The study on Intercloud computing is still in its start. Resource management is one of the key concerns to be addressed in Intercloud computing. Already done studies discuss this issue only in a trivial and simplistic way. In this study, we present a resource management model, keeping in view different types of services, different customer types, customer characteristic, pricing, and refunding. The presented framework was implemented using Java and NetBeans 8.0 and evaluated using CloudSim 3.0.3 toolkit. Presented results and their discussion validate our model and its efficiency.
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Sfiligoi, Igor, John Graham, and Frank Wuerthwein. "Characterizing network paths in and out of the clouds." EPJ Web of Conferences 245 (2020): 07059. http://dx.doi.org/10.1051/epjconf/202024507059.

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Commercial Cloud computing is becoming mainstream, with funding agencies moving beyond prototyping and starting to fund production campaigns, too. An important aspect of any scientific computing production campaign is data movement, both incoming and outgoing. And while the performance and cost of VMs is relatively well understood, the network performance and cost is not. This paper provides a characterization of networking in various regions of Amazon Web Services, Microsoft Azure and Google Cloud Platform, both between Cloud resources and major DTNs in the Pacific Research Platform, including OSG data federation caches in the network backbone, and inside the clouds themselves. The paper contains both a qualitative analysis of the results as well as latency and peak throughput measurements. It also includes an analysis of the costs involved with Cloud-based networking.
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Ayachi, Messaouda, Hassina Nacer, and Hachem Slimani. "Cooperative game approach to form overlapping cloud federation based on inter-cloud architecture." Cluster Computing 24, no. 2 (March 6, 2021): 1551–77. http://dx.doi.org/10.1007/s10586-021-03253-z.

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Aversa, Rocco, and Luca Tasquier. "Monitoring and management of a cloud application within a federation of cloud providers." International Journal of High Performance Computing and Networking 12, no. 4 (2018): 350. http://dx.doi.org/10.1504/ijhpcn.2018.096715.

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Aversa, Rocco, and Luca Tasquier. "Monitoring and management of a cloud application within a federation of cloud providers." International Journal of High Performance Computing and Networking 12, no. 4 (2018): 350. http://dx.doi.org/10.1504/ijhpcn.2018.10017916.

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Kolekar, Vikas K., and Sachin R. Sakhare. "A Research Perspective on Data Management Techniques for Federated Cloud Environment." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 5 (May 17, 2023): 338–46. http://dx.doi.org/10.17762/ijritcc.v11i5.6622.

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Cloud computing has given a large scope of improvement in processing, storage and retrieval of data that is generated in huge amount from devices and users. Heterogenous devices and users generates the multidisciplinary data that needs to take care for easy and efficient storage and fast retrieval by maintaining quality and service level agreements. By just storing the data in cloud will not full fill the user requirements, the data management techniques has to be applied so that data adaptiveness and proactiveness characteristics are upheld. To manage the effectiveness of entire eco system a middleware must be there in between users and cloud service providers. Middleware has set of events and trigger based policies that will act on generated data to intermediate users and cloud service providers. For cloud service providers to deliver an efficient utilization of resources is one of the major issues and has scope of improvement in the federation of cloud service providers to fulfill user’s dynamic demands. Along with providing adaptiveness of data management in the middleware layer is challenging. In this paper, the policies of middleware for adaptive data management have been reviewed extensively. The main objectives of middleware are also discussed to accomplish high throughput of cloud service providers by means of federation and qualitative data management by means of adaptiveness and proactiveness. The cloud federation techniques have been studied thoroughly along with the pros and cons of it. Also, the strategies to do management of data has been exponentially explored.
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SeyedTaheri, Behnaz, Mostafa Ghobaye Arani, and Mehrdad Maeen. "ACCFLA: Access Control in Cloud Federation using Learning Automata." International Journal of Computer Applications 107, no. 6 (December 18, 2014): 30–40. http://dx.doi.org/10.5120/18758-0028.

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Chen, Haopeng, Wenyun Dai, Wenting Wang, Xi Chen, and Yisheng Wang. "A CLOUD-FEDERATION-ORIENTED MECHANISM OF COMPUTING RESOURCE MANAGEMENT." Services Transactions on Cloud Computing 2, no. 2 (April 2014): 44–58. http://dx.doi.org/10.29268/stcc.2014.0007.

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Chen, Haopeng, Wenyun Dai, Wenting Wang, Xi Chen, and Yisheng Wang. "A CLOUD-FEDERATION-ORIENTED MECHANISM OF COMPUTING RESOURCE MANAGEMENT." Services Transactions on Cloud Computing 2, no. 2 (April 2014): 44–58. http://dx.doi.org/10.29268/stcc.2014.2.2.4.

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Nimkar, Anant V., and Soumya K. Ghosh. "An access control model for cloud-based EMR federation." International Journal of Trust Management in Computing and Communications 2, no. 4 (2014): 330. http://dx.doi.org/10.1504/ijtmcc.2014.067369.

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Noureddine, M., and R. Bashroush. "An authentication model towards cloud federation in the enterprise." Journal of Systems and Software 86, no. 9 (September 2013): 2269–75. http://dx.doi.org/10.1016/j.jss.2012.12.031.

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Gouasmi, Thouraya, Wajdi Louati, and Ahmed Hadj Kacem. "Exact and heuristic MapReduce scheduling algorithms for cloud federation." Computers & Electrical Engineering 69 (July 2018): 274–86. http://dx.doi.org/10.1016/j.compeleceng.2018.01.021.

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Moghaddam, Monireh Mohebbi, Mohammad Hossein Manshaei, Walid Saad, and Maziar Goudarzi. "On Data Center Demand Response: A Cloud Federation Approach." IEEE Access 7 (2019): 101829–43. http://dx.doi.org/10.1109/access.2019.2928552.

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Balouek-Thomert, Daniel, Eddy Caron, Pascal Gallard, and Laurent Lefèvre. "Nu@ge: A container-based cloud computing service federation." Concurrency and Computation: Practice and Experience 29, no. 11 (January 26, 2017): e4049. http://dx.doi.org/10.1002/cpe.4049.

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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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Alshehri, Mohammed, Brajendra Panda, Sultan Almakdi, Abdulwahab Alazeb, Hanan Halawani, Naif Al Mudawi, and Riaz U. Khan. "A Novel Blockchain-Based Encryption Model to Protect Fog Nodes from Behaviors of Malicious Nodes." Electronics 10, no. 24 (December 16, 2021): 3135. http://dx.doi.org/10.3390/electronics10243135.

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The world has experienced a huge advancement in computing technology. People prefer outsourcing their confidential data for storage and processing in cloud computing because of the auspicious services provided by cloud service providers. As promising as this paradigm is, it creates issues, including everything from data security to time latency with data computation and delivery to end-users. In response to these challenges, the fog computing paradigm was proposed as an extension of cloud computing to overcome the time latency and communication overhead and to bring computing and storage resources close to both the ground and the end-users. However, fog computing inherits the same security and privacy challenges encountered by traditional cloud computing. This paper proposed a fine-grained data access control approach by integrating the ciphertext policy attribute-based encryption (CP-ABE) algorithm and blockchain technology to secure end-users’ data security against rogue fog nodes in case a compromised fog node is ousted. In this approach, we proposed federations of fog nodes that share the same attributes, such as services and locations. The fog federation concept minimizes the time latency and communication overhead between fog nodes and cloud servers. Furthermore, the blockchain idea and the CP-ABE algorithm integration allow for fog nodes within the same fog federation to conduct a distributed authorization process. Besides that, to address time latency and communication overhead issues, we equip each fog node with an off-chain database to store the most frequently accessed data files for a particular time, as well as an on-chain access control policies table (on-chain files tracking table) that must be protected from tampering by rogue fog nodes. As a result, the blockchain plays a critical role here because it is tamper-proof by nature. We assess our approach’s efficiency and feasibility by conducting a simulation and analyzing its security and performance.
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Kansal, Sahil, Harish Kumar, and Sakshi Kaushal. "A request allocation model for processing data in federated cloud computing." Electronic Library 38, no. 4 (August 11, 2020): 745–67. http://dx.doi.org/10.1108/el-01-2019-0005.

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Purpose As the storage and processing requirement of digital information is increasing on the cloud, it is very difficult for the single cloud provider (CP) to meet the resource requirement. Multiple providers form a federation for the execution of users’ requests. For the federated cloud, this paper aims to address the issue distribution of users’ request for resources and revenue among the providers by offering fair and stable distribution models for the federated cloud. Design/methodology/approach This paper uses cooperative game (CG)-theoretical models, i.e. Shapley–Shubik power index (SSPI) and Banzhaf power index (BPI) for distribution. Performance is analysed using variance and monotonicity using a case study. Findings Numerical analysis is done using two scenarios. Monotonicity is evaluated. Results show that SSPI performs better as compared to BPI in terms of fairness accuracy and the framework provide the fair distribution of revenue among providers in the federated cloud. Research limitations/implications The proposed framework works efficiently under the specific defined conditions. Social implications Paper provides the fair distribution. It assist the centralised cloud exchange in managing the users’ request in such a way every CPs, in the federated cloud will get an equal chance of serving the users’ request. The framework also provides the stable federation. Proposed work provides less rejection rate of users’ request. Finally, it assists the providers in increasing their profits in the federation. Originality/value This paper presents a CG theoretic-based framework for the distribution of resources required and revenue. The framework analysed the performance of distribution models by considering the variance and monotonicity for multiple users’ requests.
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Savina, A. G. "CLOUD TECHNOLOGIES IN THE DIGITAL ECONOMY INFRASTRUCTURE OF THE RUSSIAN FEDERATION." Education and Science without Limits: Fundamental and Applied Researches, no. 10 (November 25, 2019): 185–89. http://dx.doi.org/10.36683/2500-249x-2019-10-185-189.

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Large-scale increase of the companies need in computing resources and inefficiency of existing IT architecture support resulted in the growth of the demand and integration of cloud tech-nologies into corporate business environment. Cloud services are becoming not simply an alternative to the enterprise’s own IT infrastructure but the tool of effective business development allowing to optimize expenses and make it possible to adapt computing resources to the enterprise requirements.
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42

Ayachi, Messaouda, Hassina Nacer, and Hachem Slimani. "Correction to: Cooperative game approach to form overlapping cloud federation based on inter-cloud architecture." Cluster Computing 24, no. 2 (March 30, 2021): 1579–82. http://dx.doi.org/10.1007/s10586-021-03273-9.

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43

Bocciarelli, Paolo, and Andrea D’Ambrogio. "A TOSCA-Based Conceptual Architecture to Support the Federation of Heterogeneous MSaaS Infrastructure." Future Internet 15, no. 2 (January 26, 2023): 48. http://dx.doi.org/10.3390/fi15020048.

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Modeling and simulation (M&S) techniques are effectively used in many application domains to support various operational tasks ranging from system analyses to innovative training activities. Any (M&S) effort might strongly benefit from the adoption of service orientation and cloud computing to ease the development and provision of M&S applications. Such an emerging paradigm is commonly referred to as M&S-as-a-Service (MSaaS). The need for orchestrating M&S services provided by different partners in a heterogeneous cloud infrastructure introduces new challenges. In this respect, the adoption of an effective architectural approach might significantly help the design and development of MSaaS infrastructure implementations that cooperate in a federated environment. In this context, this work introduces a MSaaS reference architecture (RA) that aims to investigate innovative approaches to ease the building of inter-cloud MSaaS applications. Moreover, this work presents ArTIC-MS, a conceptual architecture that refines the proposed RA for introducing the TOSCA (topology and orchestration specification for cloud applications) standard. ArTIC-MS’s main objective is to enable effective portability and interoperability among M&S services provided by different partners in heterogeneous federations of cloud-based MSaaS infrastructure. To show the validity of the proposed architectural approach, the results of concrete experimentation are provided.
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44

Paul Millar, A., Olufemi Adeyemi, Vincent Garonne, Dmitry Litvintsev, Tigran Mkrtchyan, Albert Rossi, Marina Sahakyan, and Jürgen Starek. "Storage events: distributed users, federation and beyond." EPJ Web of Conferences 214 (2019): 04035. http://dx.doi.org/10.1051/epjconf/201921404035.

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For federated storage to work well, some knowledge from each storage system must exist outside that system, regardless of the use case. This is needed to allow coordinated activity; e.g., executing analysis jobs on worker nodes with good accessibility to the data. Currently, this is achieved by clients notifying central services of activity; e.g., a client notifies a replica catalogue after an upload. Unfortunately, this forces end users to use bespoke clients. It also forces clients to wait for asynchronous activities to finish. dCache provides an alternative approach: storage events. In this approach the storage systems (rather than the clients) become the coordinating service, notifying interested parties of key events. At DESY, we are investigating storage events along with Apache OpenWhisk and Kubernetes to build a "serverless" cloud, similar to AWS Lambda or Google Cloud Functions, for photon science use cases. Storage events are more generally useful: catalogues are notified whenever data is uploaded or delete, tape becomes more efficient because analysis can start immediately after the data is on disk, caches can be "smart" fetching new datasets preemptively. In this paper we will present work within dCache to support a new event-based interface, with which these and other use cases become more efficient.
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45

Gupta, Ashutosh, Praveen Dhyani, O. P. Rishi, and Vishwambhar Pathak. "Service Request Approach for e-Governance using Federation of Cloud." International Journal of Computer Sciences and Engineering 6, no. 5 (May 31, 2018): 597–601. http://dx.doi.org/10.26438/ijcse/v6i5.597601.

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46

Lee, Craig A. "Cloud Federation Management and Beyond: Requirements, Relevant Standards, and Gaps." IEEE Cloud Computing 3, no. 1 (January 2016): 42–49. http://dx.doi.org/10.1109/mcc.2016.15.

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47

Malensek, Matthew, Sangmi Pallickara, and Shrideep Pallickara. "Autonomous Cloud Federation for High-Throughput Queries over Voluminous Datasets." IEEE Cloud Computing 3, no. 3 (May 2016): 40–49. http://dx.doi.org/10.1109/mcc.2016.65.

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48

Yang, Mu, Andrea Margheri, Runshan Hu, and Vladimiro Sassone. "Differentially Private Data Sharing in a Cloud Federation with Blockchain." IEEE Cloud Computing 5, no. 6 (November 2018): 69–79. http://dx.doi.org/10.1109/mcc.2018.064181122.

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49

Yang, Xiaoyu, Bassem Nasser, Mike Surridge, and Stuart Middleton. "A business-oriented Cloud federation model for real-time applications." Future Generation Computer Systems 28, no. 8 (October 2012): 1158–67. http://dx.doi.org/10.1016/j.future.2012.02.005.

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50

Hammoud, Ahmad, Azzam Mourad, Hadi Otrok, Omar Abdel Wahab, and Haidar Harmanani. "Cloud federation formation using genetic and evolutionary game theoretical models." Future Generation Computer Systems 104 (March 2020): 92–104. http://dx.doi.org/10.1016/j.future.2019.10.008.

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