Relevant bibliographies by topics / Cloud FinOps

Contents

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

Academic literature on the topic 'Cloud FinOps'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Cloud FinOps"

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Venkata, Sasidhar (Sasi) Kanumuri. "Unveiling the 6-factor FinOps Formula™: Definitive Guide to Scaling Cloud FinOps." Journal of Scientific and Engineering Research 10, no. 12 (2023): 187–91. https://doi.org/10.5281/zenodo.11574762.

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Cloud FinOps is a pivotal discipline amalgamating financial principles and DevOps practices to optimize cloud cost management. This article delves into the foundational aspects of Cloud FinOps, introducing the 6-factor FinOps Formula™ and elucidating its significance in scaling from startups to enterprises. As a comprehensive framework for efficient cloud cost management, Cloud FinOps fosters a culture of cost awareness, accountability, and collaboration between finance, procurement, and engineering. By implementing Cloud FinOps, organizations can achieve enhanced visibility, control, an
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Molleti, Ramasankar. "EMBRACING CLOUD GOVERNANCE WITHIN THE CONTEXT OF FINOPS." International Scientific Journal of Engineering and Management 04, no. 01 (2025): 1–6. https://doi.org/10.55041/isjem01081.

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This technical report focuses on the concept of cloud governance in the context of FinOps which is Financial Operations. The basics for effective governance and financial management becomes crucial as companies continue to adopt cloud technologies. The report examines the cloud governance framework, the parts of it, and tips for using it in FinOps. It leaps into FinOps standards and how they are embedded into cloud governance solutions and the relevant tools and technologies. These challenges and solutions related with this integration are described, nearby future models in the field. This ext
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Bhardwaj, Parag. "The Role of FinOps in Large-Scale Cloud Cost Optimization." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–5. https://doi.org/10.55041/ijsrem28086.

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The rapid adoption of cloud computing in large enterprises has led to significant challenges in managing cloud costs, particularly as organizations scale their cloud environments across multiple services and providers. FinOps, or Financial Operations, has emerged as a crucial framework for addressing these challenges by fostering collaboration between finance, technology, and operations teams to optimize cloud expenditures. This discipline is designed to enhance financial accountability and visibility, ensuring that cloud resources are used efficiently and in alignment with business objectives
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Sambatur, Sravya. "Cloud Fin Ops Management." International Journal of Soft Computing and Engineering 13, no. 6 (2024): 7–9. http://dx.doi.org/10.35940/ijsce.a3585.13060124.

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Cloud finops (financial operations) is the practice of optimizing and managing the financial aspects of an organization's cloud computing resources. It involves identifying cost savings opportunities, implementing financial governance, and using data analytics to track and optimize spending. The goal of cloud finops is to ensure that an organization's cloud resources are being used efficiently and effectively, while also minimizing waste and unnecessary spending. In this paper, we will review the key principles and practices of cloud finops, including cost optimization strategies, financial go
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Sravya, Sambaturu. "Cloud Fin Ops Management." International Journal of Soft Computing and Engineering (IJSCE) 13, no. 2 (2024): 7–9. https://doi.org/10.35940/ijsce.A3585.13060124.

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<strong>Abstract:</strong> Cloud finops (financial operations) is the practice of optimizing and managing the financial aspects of an organization's cloud computing resources. It involves identifying cost savings opportunities, implementing financial governance, and using data analytics to track and optimize spending. The goal of cloud finops is to ensure that an organization's cloud resources are being used efficiently and effectively, while also minimizing waste and unnecessary spending. In this paper, we will review the key principles and practices of cloud finops, including cost optimizati
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Parag, Bhardwaj. "Developing a FinOps Maturity Model for Enterprise Cloud Management." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 12, no. 5 (2024): 1–9. https://doi.org/10.5281/zenodo.14837242.

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Cloud computing has revolutionized the IT landscape, offering unparalleled scalability and agility. However, the associated costs can quickly spiral out of control if not managed effectively. FinOps, a framework that brings together finance, technology, and business teams to make informed decisions about cloud spending, has emerged as a critical practice for enterprises. This research paper proposes a comprehensive FinOps maturity model to guide organizations in their journey towards optimizing cloud costs and maximizing the return on their cloud investments. &nbsp; The FinOps Maturity Model s
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Yakkanti, Prasen Reddy. "AI-Enabled FinOps for Cloud Cost Optimization: Enhancing Financial Governance in Cloud Environments." European Journal of Computer Science and Information Technology 13, no. 11 (2025): 17–29. https://doi.org/10.37745/ejcsit.2013/vol13n111729.

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The integration of artificial intelligence with Financial Operations (FinOps) is revolutionizing cloud cost optimization for enterprises. This scholarly article explores how AI-enabled FinOps transforms financial governance in cloud environments by providing enhanced visibility, automated anomaly detection, and intelligent optimization recommendations. The evolution from reactive cost management to proactive governance models has enabled organizations to address challenges in cloud spending through sophisticated machine learning algorithms, predictive analytics, natural language processing, an
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Pradeep Kurra. "Role of AI in cloud cost optimization and FinOps (Financial Operations)." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 424–30. https://doi.org/10.30574/wjaets.2025.15.1.0218.

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Integrating Artificial Intelligence into cloud cost optimization and Financial Operations (FinOps) marks a transformative shift in enterprise cloud management strategies. Traditional approaches to cloud financial management have resulted in substantial resource wastage and cost inefficiencies across organizations of all sizes. By leveraging machine learning algorithms, predictive analytics, and automation, AI-enhanced FinOps solutions enable unprecedented cost forecasting accuracy, resource optimization, and financial governance. These technologies can analyze vast amounts of utilization data
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Parag, Bhardwaj. "Optimizing FinOps Practices with Azure Cost Management and Billing Tools." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 9, no. 3 (2021): 1–8. https://doi.org/10.5281/zenodo.14593130.

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In the modern digital landscape, cloud computing has become integral to business operations, offering unparalleled scalability, flexibility, and efficiency. However, managing and optimizing cloud costs remains a complex challenge. Financial Operations (FinOps) practices, combined with Microsoft Azure's Cost Management and Billing tools, provide a strategic approach to effectively address these challenges. FinOps bridges the gap between finance, operations, and engineering teams, fostering a culture of accountability and transparency around cloud spending. It emphasizes collaboration, real-time
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Bryant, Jon. "Driving into the Cloud: What is Finops?" ITNOW 64, no. 3 (2022): 54–55. http://dx.doi.org/10.1093/combul/bwac097.

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Abstract Organisations need to take a structured and proactive approach to predicting, tracking and managing the cost of their cloud services to meet their financial objectives, writes Jon Bryant MBCS CITP, Consultant with Strategic Blue.
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Dissertations / Theses on the topic "Cloud FinOps"

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Andersson, Johan, and Johan Pettersson. "Vad finns det för fördelar och nackdelar medmolnet? : Hur upplever IT-företag dessa?" Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-33415.

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Att inom företag och organisationer använda sig av molntjänster är den senaste heta trenden inom IT-världen. Men vad finns det egentligen för fördelar och nackdelar med att använda sig av molntjänster? I denna uppsats beskriver vi först fenomenet molnetoch molnjänster, även känt som cloud computing. Efter det har vi gjort en litteraturstudie för att ta reda på vad det finns för för och nackdelar med användandetav molntjänster. Vi har till slut utfört en kvalitativ enkätundersökning för att ta reda påvad IT-företag som använder sig av molntjänster upplever för för och nackdelar meddem. Den geno
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Tavakoli, Gheynani Imane. "Modélisation tridimensionnelle d'assemblages de structure bois en tôle pliée mince par la méthode des élements finis." Thesis, Nancy 1, 2011. http://www.theses.fr/2011NAN10135/document.

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L'assemblage des éléments de structures en bois de dimensions standard comme des poutres massives ou composites s'effectue très fréquemment avec des ancrages métalliques cloués. Ces éléments en tôle pliée formés à froid peuvent être mis sur le marché Européens lorsqu'un ATE est obtenu à partir des recommandations de l'ETAG 015. Le développement ainsi que la caractérisation de la résistance de ces ancrages s'effectue jusqu'à présent dans la société CULLEN Building Products par des essais longs et coûteux. En alternative à cette démarche, ce travail présente une démarche permettant de modéliser
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Hérault, Christophe. "VERS UNE SIMULATION SANS MAILLAGE DES PHÉNOMÈNES ÉLECTROMAGNÉTIQUES." Phd thesis, Grenoble INPG, 2000. http://tel.archives-ouvertes.fr/tel-00689431.

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Récemment de nouvelles méthodes de simulation numérique ont fait leur apparition. Ces méthodes basées sur un nuage de noeuds ne font pas intervenir de maillage comme pour la méthode des éléments finis. Malgré leur nombre, leur base théorique est semblable. De plus, de part leur caractère récent, leurs développements sont encore à ce jour qu 'aux prémices. Ce travail récapitule les grandes lignes des procédures indispensables pour une résolution à l'aide d'une méthode sans maillage appelée méthode HP-Clouds. Entre autre, les fondements mathématiques par la création de nouvelles fonctions de for
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Santoso, Mas Simon. "Simulation d'écoulements fluides à partir de données réelles." Thesis, Ecole centrale de Nantes, 2018. http://www.theses.fr/2018ECDN0011.

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Les nuages de points sont des objets mathématiques permettant de décrire de manière discrète des fonctions à plusieurs variables. Ils sont principalement utilisés dans le domaine statistique mais on les retrouve également en géométrie afin de représenter des variétés géométriques complexes. Il est aujourd'hui difficile d'intégrer les objets représentés par ces nuages de points dans des calculs éléments finis car l'intégration de ces nuages de points requiert la reconstruction de la variété ainsi que la génération d'un maillage surfacique qu'il faut intégrer dans un maillage volumique. Ces opér
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Rolin, Raphaël. "Contribution à une démarche numérique intégrée pour la préservation des patrimoines bâtis." Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2450/document.

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Au travers de l’ensemble de ces travaux, l’objectif principal consiste à valider la pertinence de la construction et de l’utilisation de modèles 3D géométriques ou paramétriques orientés BIM/hBIM pour des analyses numériques. Il s’agit notamment d’études structurales dans le cas de bâtiments historiques ainsi que la planification potentielle de travaux de restauration, rénovation énergétique et réhabilitation. Des travaux d’exploitation complémentaires des données et des nuages de points, pour la détection, la segmentation et l’extraction d’entités géométriques ont également été intégrés dans
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Books on the topic "Cloud FinOps"

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Kanumuri, Sasi, and Matthew Zeier. Scaling Cloud FinOps. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0388-8.

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Koivukangas, Olavi. From the midnight sun to the long white cloud: Finns in New Zealand. Institute of Migration, 1996.

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AWS FinOps Simplified: Eliminate Cloud Waste Through Practical FinOps. de Gruyter GmbH, Walter, 2022.

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AWS FinOps Simplified: Eliminate Cloud Waste Through Practical FinOps. Packt Publishing, Limited, 2022.

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Cloud FinOps: Collaborative, Real-Time Cloud Financial Management. O'Reilly Media, Incorporated, 2023.

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Fuller, Mike, and J. R. Storment. Cloud FinOps: Collaborative, Real-Time Cloud Financial Management. O'Reilly Media, Incorporated, 2020.

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Kanumuri, Sasi, and Matthew Zeier. Scaling Cloud FinOps: Proven Strategies to Accelerate Financial Success. Apress L. P., 2024.

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Soni, Maulik. FinOps Handbook for Microsoft Azure: Empowering Teams to Optimize Their Azure Cloud Spend with FinOps Best Practices. de Gruyter GmbH, Walter, 2023.

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Soni, Maulik. FinOps Handbook for Microsoft Azure: Empowering Teams to Optimize Their Azure Cloud Spend with FinOps Best Practices. Packt Publishing, Limited, 2023.

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Multi-Cloud Strategy for Cloud Architects: Learn How to Adopt and Manage Public Clouds by Leveraging BaseOps, FinOps, and DevSecOps. de Gruyter GmbH, Walter, 2023.

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Book chapters on the topic "Cloud FinOps"

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Kanumuri, Sasi, and Matthew Zeier. "Cloud FinOps." In Scaling Cloud FinOps. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0388-8_1.

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Kanumuri, Sasi, and Matthew Zeier. "Cloud Cost Governance." In Scaling Cloud FinOps. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0388-8_4.

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Kanumuri, Sasi, and Matthew Zeier. "Cloud Cost Visibility." In Scaling Cloud FinOps. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0388-8_2.

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Kanumuri, Sasi, and Matthew Zeier. "Cloud Cost Optimization." In Scaling Cloud FinOps. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0388-8_6.

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Kanumuri, Sasi, and Matthew Zeier. "Cloud Cost Insights." In Scaling Cloud FinOps. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0388-8_3.

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Kanumuri, Sasi, and Matthew Zeier. "Reviewing Your FinOps Toolbox." In Scaling Cloud FinOps. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0388-8_9.

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Kanumuri, Sasi, and Matthew Zeier. "Automation." In Scaling Cloud FinOps. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0388-8_7.

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Kanumuri, Sasi, and Matthew Zeier. "Cultivating Cost Awareness Culture." In Scaling Cloud FinOps. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0388-8_5.

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Kanumuri, Sasi, and Matthew Zeier. "Vendor Management." In Scaling Cloud FinOps. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0388-8_8.

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Theophanidis, Philippe. "Caught in the Cloud." In The Funambulist Papers, Volume 2. punctum books, 2015. https://doi.org/10.21983/p3.0098.1.04.

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On June 12, 2013, a two-and-a-half minute amateur recording titled “Taksim’de Gaz saldırısının içinde kalan Kadının acı çığlıkları” was up-loaded on YouTube. It shows what appears to be a sudden as well as massive tear gas assault being conducted against a large crowd gathered somewhere in the vicinity of Istanbul’s Taksim square, where people have been protesting against the planed demolition of Taksim Gezi Park since May.This video, however, is striking in a number of ways. The speed at which the gas completely fills the whole area where the large crowd is assembled is astonishing. Forty sec
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Conference papers on the topic "Cloud FinOps"

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Agrawal, Atam Prakash, Anant Mittal, Shivangi Srivastava, Michael Brevard, Valentin Moskovich, and Mosharaf Chowdhury. "INFA-FinOps for Cloud Data Integration." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825704.

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Lumpp, Francesco, Diego Braga, Franco Fummi, and Nicola Bombieri. "Automating FinOps in Cloud Computing: An Integrated Solution for Efficient Data Collection with Dynamic Scraper Generation." In 2024 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 2024. https://doi.org/10.1109/cloudcom62794.2024.00025.

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Mileski, Dimitar, and Marjan Gusev. "FinOps in Cloud-Native Near Real-Time Serverless Streaming Solutions." In 2023 31st Telecommunications Forum (TELFOR). IEEE, 2023. http://dx.doi.org/10.1109/telfor59449.2023.10372626.

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Kodi, Divya. "Multi-Cloud FinOps: AI-Driven Cost Allocation and Optimization Strategies." In International Conference on Computer Science, Artificial Intelligence, Machine Learning. ScienceTech Xplore, 2025. https://doi.org/10.56472/iccsaiml25-116.

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Sodré, Daniel Bougleux, Cristina Boeres, and Vinod E. F. Rebello. "Making the most of what you pay for by delaying tasks to improve overall cloud instance performance." In Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/wscad_estendido.2022.226672.

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Resource elasticity and server consolidation have long been among two of cloud computing’s most relevant management tools. Yet, exemplified with a scientific application use case, this paper highlights how judicious scheduling of tasks can help maximize resource utilization and improve performance and costs for both users and cloud providers. Developing an efficient cloud service for DNA sequence comparisons is adopted as a motivating use case. Using the bioinformatics tool MASA that finds an optimal pair-wise sequence alignment, we propose a model for co-scheduling multiple alignments on a si
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Shkurti (Perri), Rezarta. "Cloud Computing in Accounting and Digital Financial Reporting in Albania." In 7th International Scientific Conference ERAZ - Knowledge Based Sustainable Development. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2021. http://dx.doi.org/10.31410/eraz.2021.199.

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Recent technological changes have had a great impact on the accounting and financial environment all over the world. Albania has also been affected by these changes and developments such as the widespread use of interactive accounting information packages, financial web report­ing, and cloud computing. This paper tries to analyze the current situation of accounting and financial reporting in Albania and the impact that web reporting and cloud computing have had on the simplification of account­ing procedures. Several tools such as online reporting and Extensive Busi­ness Reporting language are
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Venâncio, Giovanni, Rogério C. Turchetti, and Elias P. Duarte Jr. "NFVinc: Disponibilizando Serviços Inovadores na Rede com Tecnologia NFV." In Workshop em Clouds e Aplicações. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/wcga.2021.17120.

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A Virtualização de Funções de Rede (Network Function Virtualization - NFV) permite a substituição de funções de rede tradicionalmente implementadas em hardware dedicado por software. Apesar de que a maioria das VNFs implementa funcionalidades de middleboxes clássicas, como firewall ou detector de intrusão, a tecnologia NFV pode ser utilizada para disponibilizar serviços oferecidos pela própria rede que são utilizados por aplicações de usuários finais. Desta forma, aplicações e sistemas normalmente executados pelos usuários em hosts da borda, passam a ser inteiramente executados dentro da rede,
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Engel, Fábio, and Elias Procópio Duarte Jr. "Preenchimento de Cache de Video na Borda da Rede Baseado em Coloração de Grafos." In XVIII Workshop em Clouds e Aplicações. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/wcga.2020.12445.

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Serviços de streaming de vídeo são frequentemente baseados em nuvens computacionais. Tendo em vista o aumento dos dispositivos móveis acessando este tipo de conteúdo, para garantir a qualidade de serviço requerida, é importante fazer uso de caches na borda da rede. Na medida em que as caches aproximam o conteúdo do usuário final, provocam uma redução do tráfego na nuvem e uma melhoria da experiência do usuário final. Este trabalho aborda um dos aspectos inerentes à utilização de caches, o preenchimento de conteúdo tendo em vista usuários finais em dispositivos móveis. Cada e
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Oliveira, Lucas B., Alan Veloso, Denis Rosário, and Antônio Abelém. "Fatias (Leves) como um Serviço: Uma Solução para Dispositivos Móveis na Borda da Rede." In Simpósio Brasileiro de Computação Ubíqua e Pervasiva. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/sbcup.2022.222873.

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Fatiamento de Rede e Nuvem (Cloud Network Slicing - CNS) é o processo capaz de isolar fim-a-fim e sob-demanda recursos de nuvem e rede controlados, gerenciados e/ou orquestrados independentemente, os quais são denominados de fatias. Nesse contexto, pode-se considerar dispositivos com baixo poder computacional, como os dispositivos móveis, para prover recursos para as fatias, e assim deixando os serviços ainda mais próximos dos usuários finais. Contudo, as plataformas que fornecem Fatia como um Serviço (Slice as a Service - SlaaS) não alocam dispositivos móveis como parte da fatia. Nesse sentid
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Akoglu, Leman. "Anomaly Mining - Past, Present and Future." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/697.

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Anomaly mining is an important problem that finds numerous applications in various real world do- mains such as environmental monitoring, cybersecurity, finance, healthcare and medicine, to name a few. In this article, I focus on two areas, (1) point-cloud and (2) graph-based anomaly mining. I aim to present a broad view of each area, and discuss classes of main research problems, recent trends and future directions. I conclude with key take-aways and overarching open problems. Disclaimer. I try to provide an overview of past and recent trends in both areas within 4 pages. Undoubtedly, these a
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Reports on the topic "Cloud FinOps"

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Lawson, Adrienn, and Stephen Hendrick. 2024 State of Tech Talent Japan Report: Survey-based Insights into the Leading Talent Strategies and Modernization Initiatives in Japan's Tech Sector. The Linux Foundation, 2024. https://doi.org/10.70828/nvoj7902.

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Earlier in 2024, LF Research published its 2024 State of Tech Talent Report. The survey findings from this study were subsequently segmented by Japanese respondents and analyzed in a secondary report to capture a focused perspective on talent management amid the unique challenges faced by Japan's IT industry. This report finds that Japan is facing some obstacles in its modernization efforts. The country is confronting a significant shortage of technical talent, persistent legacy mainframes, and training programs that fall short in delivering the skills required for complex roles. Despite these
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