Relevant bibliographies by topics / Robust Cloud Solutions

Contents

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

Academic literature on the topic 'Robust Cloud Solutions'

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

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Journal articles on the topic "Robust Cloud Solutions"

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Tiwari, Aniket Rajkumar. "Securing the Cloud: Overcoming Challenges and Implementing Solutions for Effective Cloud Computing Security." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 5100–5111. http://dx.doi.org/10.22214/ijraset.2024.62772.

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Abstract: “This research paper provides a sufficient overview of security challenges in cloud computing and corresponding solutions. Challenges include data breaches, compliance issues, and insider threats, while solutions encompass robust access controls, encryption, and API security measures. By implementing these solutions, organizations can mitigate risks and securely harness the advantages of cloud computing.”
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Mortazavi, Faezeh, Alexander Kuzminykh, Volker Ahlers, Claus Brenner, and Monika Sester. "Integrated Multi-Stereo Camera System for Robust Indoor Localization with Temporal Fusion." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W7-2024 (December 13, 2024): 81–87. https://doi.org/10.5194/isprs-archives-xlviii-2-w7-2024-81-2024.

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Abstract. This paper presents a novel multi-stereo camera system for robust indoor localization, leveraging point cloud data and temporal fusion techniques. The system integrates three synchronized stereo cameras to capture point clouds from multiple angles, enhancing coverage and improving point cloud density in complex indoor environments. By combining data from different perspectives and accumulating point clouds over time, the method mitigates the limitations in the short range of point clouds derived from stereo cameras, ensuring broader coverage for effective localization. To manage the
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Laxminarayana, Korada, and Kartik Sikha Vijay. "Enterprises Are Challenged by Industry-Specific Cloud Adaptation - Microsoft Industry Cloud Custom-Fits, Outpaces Competition and Eases Integration." Journal of Scientific and Engineering Research 9, no. 12 (2022): 182–87. https://doi.org/10.5281/zenodo.13348175.

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Cloud computing has revolutionized how enterprises manage their IT infrastructure, offering flexibility, scalability, and cost-efficiency. However, aligning cloud solutions with specific industry needs remains a challenge. Microsoft Industry Cloud addresses this by providing tailored cloud services designed for vertical markets. This paper explores the concept of Industry Cloud, its significance for businesses, and compares Microsoft's offerings with other public cloud providers. It highlights Microsoft's competitive advantages, including sector-specific solutions, flexible pricing models, a r
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Santosh, Pashikanti. "Integrating AI/ML in Enterprise Cloud Solutions: Challenges, Solutions, and Case Studies." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 12, no. 1 (2024): 1–5. https://doi.org/10.5281/zenodo.14631709.

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The rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML) has transformed how enterprises design, develop, and deploy software and infrastructure. Cloud computing provides a robust, scalable, and cost-effective environment to operationalize AI/ML models. However, integrating AI/ML into enterprise cloud solutions presents unique challenges in areas such as data governance, model lifecycle management, scalability, security, and regulatory compliance. This white paper offers a deep technical exploration of these challenges and the solutions adopted by industry leaders, as well
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Rapolu, Upesh Kumar. "Implementing Hybrid Cloud Solutions Using Azure Arc to Integrate On-Premises and Cloud Environments." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–6. https://doi.org/10.55041/ijsrem13098.

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The following research paper has provided the importance of implementing a hybrid cloud solution using Azzue Arc and integrating it into on-premises and cloud environments. At the same time, the key benefits which have been observed are minimising the overall costs, robust compliance and security, centralised management and being scalable and flexible. Furthermore, challenges have been identified as keeping track and location of the resources and controlling the costs have been mitigated by the augmentation of strategies such as the application of robust security and control and monitoring and
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Dave, Rushi. "Cybersecurity in Cloud Computing Environments: Challenges and Solutions." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40961.

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- Cloud computing makes it possible to manage and send out IT services to organizations in a scalable, flexible and cost-effective way. Consequently, the cloud computing is rapidly going popular as it also poses many significant cybersecurity challenges .This research paper investigates the unique security considerations inherent in cloud computing environments and proposes strategies for enhancing cybersecurity in the cloud. Through a comprehensive analysis of current practices, vulnerabilities, and emerging threats, this paper aims to provide insights into the state of cloud security and off
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Pendyala, Santhosh Kumar. "Strengthening Healthcare Cybersecurity: Leveraging Multi-Cloud and AI Solutions." Journal of Computer Science Applications and Information Technology 10, no. 1 (2025): 1–8. https://doi.org/10.15226/2474-9257/10/1/00163.

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The increasing reliance on digital systems in healthcare has heightened the need for robust cybersecurity frameworks to safeguard sensitive patient data and ensure uninterrupted service delivery. Healthcare institutions face unique challenges, including compliance with stringent regulatory standards, integration of disparate data systems, and mitigating evolving cyber threats. The adoption of multi-cloud architectures combined with artificial intelligence (AI) offers a promising solution to these challenges. Multi-cloud environments provide scalability, redundancy, and resilience, while AI enh
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Chou, Yuyu, and Jan Oetting. "Risk Assessment for Cloud-Based IT Systems." International Journal of Grid and High Performance Computing 3, no. 2 (2011): 1–13. http://dx.doi.org/10.4018/jghpc.2011040101.

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The use of Cloud Computing services is an attractive option to improve IT systems to achieve rapidly and elastically provisioned capability, and also to offer economic benefits. However, companies see security as a major concern in migrating to the Cloud. To bring clarity in Cloud security, this paper presents a systematic approach to manage the risks and analyzes the full range of risk in Cloud Computing solutions. Furthermore, as a study case, Google App Engine Platform is assessed based on ISO/IEC 27002 and OWASP Top 10 Risk List in this paper. Knowing the risks of Cloud solutions, companie
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Muhammad Saad Zahoor, Et al. "Security Challenges and Solutions in AI-Enhanced Cloud Platforms: A Comprehensive Study." Power System Technology 47, no. 4 (2023): 103–18. http://dx.doi.org/10.52783/pst.161.

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The integration of Artificial Intelligence (AI) into cloud computing platforms has revolutionized the landscape of modern computing, offering unprecedented capabilities and efficiencies. However, this union introduces a myriad of security challenges that demand meticulous examination and robust solutions. This comprehensive study delves into the security intricacies arising from the amalgamation of AI and cloud platforms, aiming to identify, analyze, and propose effective strategies to address these challenges. The research explores the multifaceted dimensions of security challenges in AI-enha
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Aditya Sharma. "Cloud computing and enterprise cloud foundations: A technical overview." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 897–906. https://doi.org/10.30574/wjaets.2025.15.3.1006.

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Cloud computing has fundamentally transformed how organizations architect, deploy, and manage their IT infrastructure, marking a paradigm shift from traditional on-premises solutions to dynamic, internet-based delivery models. This transformation encompasses various deployment models including public, private, and hybrid clouds, each offering distinct advantages in terms of scalability, security, and cost optimization. The evolution of cloud computing has led to the development of sophisticated enterprise cloud foundations that incorporate comprehensive governance frameworks, robust security a
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Dissertations / Theses on the topic "Robust Cloud Solutions"

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Arlotti, Luca. "Studio di fattibilità tecnico economico per l'automazione di un reparto presse tramite l'applicazione di cobot." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16184/.

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In questa tesi viene eseguita una ricerca applicativa sull'implementazione di un robot collaborativo, con lo scopo di sgravare gli operatori da mansioni ripetitive e impiegare il loro tempo per migliorare la qualità della produzione e dei prodotti finali. Dopo una parte introduttiva dedicata alla descrizione dei punti salienti dell’Industria 4.0 e alle scelte che il mercato propone riguardo ai robot collaborativi, si è preso in considerazione il caso specifico di ASA San Marino: l’analisi del processo produttivo del reparto presse ha posto la lente di ingrandimento sulle mansioni che il si
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Books on the topic "Robust Cloud Solutions"

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Dantas, Victor. Architecting Google Cloud Solutions: Learn to design robust and future-proof solutions with Google Cloud technologies. Packt Publishing, 2021.

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Dantas, Victor. Architecting Google Cloud Solutions: Learn to Design Robust and Future-Proof Solutions with Google Cloud Technologies. de Gruyter GmbH, Walter, 2021.

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Duncan, David, and Alok Shrivastwa. Hybrid Cloud for Architects: Build Robust Hybrid Cloud Solutions Using AWS and OpenStack. Packt Publishing, Limited, 2018.

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Khedher, Omar. Extending OpenStack: Leverage extended OpenStack projects to implement containerization, deployment, and architecting robust cloud solutions. Packt Publishing - ebooks Account, 2018.

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Bhushan, Megha, Sailesh Iyer, Ashok Kumar, Tanupriya Choudhury, and Arun Negi, eds. Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150492511220101.

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Smart cities and villages have enhanced the quality of lives of residents. Various computer-assisted technologies have been harnessed for the development of smart cities and villages in order to provide solutions for common and niche urban problems. The development of smart environments has been possible due to advances in computing power and artificial intelligence (AI) that have allowed the deployment of scalable technologies. Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges summarizes the role of AI in planning and designing smart sol
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Book chapters on the topic "Robust Cloud Solutions"

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Bajrami, Aulon. "Multi 3D-Sensor Based Human-Robot Collaboration with Cloud Solution for Object Handover." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47718-8_10.

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Haque, Kazi Nymul, Johirul Islam, Ijaz Ahmad, and Erkki Harjula. "Decentralized Pub/Sub Architecture for Real-Time Remote Patient Monitoring: A Feasibility Study." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59080-1_4.

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AbstractThe confluence of the Internet of Things (IoT) within the healthcare sector, called Internet of Medical Things (IoMT), has ushered in a transformative approach to real-time patient monitoring. Traditional methods that typically involve the direct transmission of medical sensor data to the cloud, falter under the constraints of medical IoT devices. In response, Multi-access Edge Computing (MEC), as defined by the European Telecommunications Standards Institute (ETSI), brings forth an innovative solution by relocating computing resources closer to the origin of data. However, MEC alone d
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Chou, Yuyu, and Jan Oetting. "Risk Assessment for Cloud-Based IT Systems." In Grid and Cloud Computing. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0879-5.ch113.

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The use of Cloud Computing services is an attractive option to improve IT systems to achieve rapidly and elastically provisioned capability, and also to offer economic benefits. However, companies see security as a major concern in migrating to the Cloud. To bring clarity in Cloud security, this paper presents a systematic approach to manage the risks and analyzes the full range of risk in Cloud Computing solutions. Furthermore, as a study case, Google App Engine Platform is assessed based on ISO/IEC 27002 and OWASP Top 10 Risk List in this paper. Knowing the risks of Cloud solutions, companie
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Chou, Yuyu, and Jan Oetting. "Risk Assessment for Cloud-Based IT Systems." In Applications and Developments in Grid, Cloud, and High Performance Computing. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2065-0.ch001.

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The use of Cloud Computing services is an attractive option to improve IT systems to achieve rapidly and elastically provisioned capability, and also to offer economic benefits. However, companies see security as a major concern in migrating to the Cloud. To bring clarity in Cloud security, this paper presents a systematic approach to manage the risks and analyzes the full range of risk in Cloud Computing solutions. Furthermore, as a study case, Google App Engine Platform is assessed based on ISO/IEC 27002 and OWASP Top 10 Risk List in this paper. Knowing the risks of Cloud solutions, companie
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Singh, Chandra, Anush Bekal, A. Ashoka, Lanlyn Samuel Dsouza, A. B. Abhishek, and P. U. Shreesha. "Disaster Response and Recovery Role of Cloud-Enhanced Robotics." In Advances in Computational Intelligence and Robotics. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1914-7.ch015.

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There is an urgent need for innovative and efficient disaster response and recovery solutions. This chapter investigates the use of cloud technologies in conjunction with robotics to improve disaster management operations. Cloud-enhanced robotics (CER) appears as a significant innovation, offering a synergistic approach in which cloud-enabled robots provide a more dynamic, adaptable, and robust response to catastrophic occurrences. CER enables robots to access huge computational resources and data, improving operational efficiency, decision-making, and problem-solving abilities. This connectio
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T. K., Sateesh Kumar, Lijo P. Thomas, Vishnu Achutha Menon, and Juby Thomas. "Exploring Tech-Enabled Solutions." In Advances in Hospitality, Tourism, and the Services Industry. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-6755-1.ch014.

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This study explores passenger satisfaction and airline service quality within the travel and hospitality sector. The dataset offers valuable insights into customer sentiments and provides essential data for customer service enhancements and predictive modeling. Various data analysis techniques, including confusion matrix, multinomial regression, and specificity sensitivity analysis, are employed to thoroughly examine patterns, correlations, and predictive factors related to passenger satisfaction and airline service quality. The analysis reveals exceptional accuracy in sentiment classification
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Dreher, Patrick, and Mladen Vouk. "Utilizing Open Source Cloud Computing Environments to Provide Cost Effective Support for University Education and Research." In Cloud Computing for Teaching and Learning. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0957-0.ch003.

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This chapter describes an economical and scalable open source cloud computing technology suitable for a university environment where the need is to simultaneously serve a diverse spectrum of educational and research missions. In particular, this chapter reviews a cloud computing technology called Virtual Computing Lab (VCL, http://vcl.ncsu.edu). This open source technology was originally designed and built at North Carolina State University (NCSU), and its seamlessly supports both the electronic teaching and learning needs of the university as well as a robust environment for faculty high perf
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Perumal, Arun Pandiyan, and Viralkumar Ahire. "Data Security and Network Security in Cloud." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-0781-7.ch001.

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Cloud computing has revolutionized how organizations store, access, and manage data, offering unparalleled flexibility, scalability, and efficiency. As organizations increasingly adopt cloud-based solutions, the importance of implementing robust security frameworks has grown exponentially to address evolving threats. This chapter provides a comprehensive exploration of data security and network security in the context of cloud computing. It covers foundational principles, advanced strategies, and emerging trends to protect sensitive information and maintain operational resilience. It emphasize
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K., Anitha, Anto Arockia Rosaline R., Devipriya A., Nancy P., and Vijaya K. "Randomized Round Crypto Security Encryption Standard for Secure Cloud Storage." In Machine Learning and Cryptographic Solutions for Data Protection and Network Security. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-4159-9.ch019.

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Due to the heightened expenses associated with maintaining extensive data storage infrastructure on-premises, many organizations face challenges in accommodating large volumes of data within their facilities. Data outsourcing proves beneficial for users as it alleviates the responsibility of storing and managing the data. While efforts have been made to establish a secure and reliable cloud platform for data storage, persistent concerns linger regarding the confidentiality and integrity of data and applications stored in the cloud. Consequently, there exists a critical necessity to establish a
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Tiwari, Pradeep Kumar, and Sandeep Joshi. "A Comprehensive Report on Security and Privacy Challenges in Software as a Service." In Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5339-8.ch084.

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Researchers have done tremendous works for data security, but a robust security mechanism is not available yet. Researchers are doing continuous work to build robust SaaS mechanism. SaaS has several security vulnerabilities. Data security is still the most important challenge to researcher and they can constantly do research to protect the data over the network but they are facing numerous technical challenges to completely secure the cloud network and cloud storage. This work would be helpful to understand data security and privacy problems. Researchers can find the new way to understand SaaS
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Conference papers on the topic "Robust Cloud Solutions"

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Abusalih Rahumath Ali, AbuFaizur Rahman, K. Saravanan, B. Bala Abirami, V. Samuthira Pandi, Vijay Vasanth Aroulanandam, and S. Parthiban. "Enhancing Cloud Security with AI: Developing Robust, Scalable Solutions for Threat Mitigation and Data Protection in Cloud Platforms." In 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA). IEEE, 2024. https://doi.org/10.1109/icscna63714.2024.10863942.

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Sharma, Tanu, Khyati Chopra, and Farheen Siddiqui. "Exploring Future Research Directions and Unresolved Challenges in Developing Robust Cryptographic Solutions for Evolving Cloud Security." In 2024 Eighth International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2024. https://doi.org/10.1109/pdgc64653.2024.10984202.

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Ma, Ran, Chul-Woo Kim, and Daigo Kawabe. "Point cloud-based geometry updating and finite element analysis of railway bridge pier." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0972.

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<p>This study presents a novel approach to updating the geometry of railway bridge piers using 3D reconstruction techniques integrated with finite element analysis (FEA). Combining photogrammetry and laser scanning, the proposed method generates high-fidelity digital models that accurately reflect the structural and geometric characteristics of bridge piers. A case study involving a railway bridge pier demonstrates the method’s effectiveness, achieving centimeter-level accuracy in dimension evaluation compared to design documents. Additionally, the updated finite element model successful
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Pal, Rita, and Mr Shyam Dwivedi. "REVOLUTIONIZING CLOUD SECURITY- BIG DATA DYNAMIC OWNERSHIP AND ROBUST DATA DEDUPLICATION IN STORAGE SOLUTIONS." In Computing for Sustainable Innovation: Shaping Tomorrow’s World. Innovative Research Publication, 2024. http://dx.doi.org/10.55524/csistw.2024.12.1.45.

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In the era of exponentially growing data, securing sensitive information in cloud storage environments is paramount. This paper introduces a ground-breaking approach to cloud security through the integration of Big Data dynamic ownership management and robust data deduplication techniques. The proposed framework not only addresses the challenges of ownership dynamics in large-scale cloud storage but also ensures data security through advanced deduplication mechanisms. By dynamically adapting ownership structures to evolving data needs and implementing secure deduplication processes, our soluti
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Ramapuram, Vinay Goud, Jayshri Dhar, and Mallikarjuna Reddy Munaiahgari. "ADAS Simulation on Cloud." In 11th SAEINDIA International Mobility Conference (SIIMC 2024). SAE International, 2024. https://doi.org/10.4271/2024-28-0166.

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<div class="section abstract"><div class="htmlview paragraph">The rapid evolution of new technologies in the automotive sector is driving the demand for advanced simulation solutions, enabling faster software development cycles. Developers often encounter challenges in managing the vast amounts of data generated during testing. For example, a single Advanced Driver Assistance System (ADAS) test vehicle can produce several terabytes of data daily. Efficiently handling and distributing this data across multiple locations can introduce delays in the development process. Moreover, the
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Mukherjee, S., and A. Das. "Industrial Data Operations: Empowering the Energy Industry with Smarter Data Management Solutions." In GOTECH. SPE, 2025. https://doi.org/10.2118/224586-ms.

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Abstract The Oil & Gas Exploration and Production (E&P) sector faces persistent challenges due to data silos and inefficiencies, which hinder decision-making and operational performance. A 2009 SPE survey revealed that 90% of respondents spent over half their time identifying and formatting data, underscoring the inefficiency of existing workflows. This paper explores how Industrial DataOps addresses these challenges by integrating diverse data sources, enabling real-time contextualization, and facilitating data-driven decisions to meet the evolving demands of the energy industry. This
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Keller, Grace. "“From Paper to Cloud”: How Digital Tools are Revolutionizing Dam Project Data Management." In Deep Foundations Institute 49th Annual Conference. Deep Foundations Institute, 2024. https://doi.org/10.37308/dfi49.2024820104.

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Dam construction and remediation projects generate vast quantities of data. All information must be meticulously tracked, analyzed, catalogued, and submitted to the proper stakeholders to ensure safe construction, compliance with design intent, and efficient execution of the work. Traditional data collection involves hundreds or even thousands of hand-written records and checklists, which must be deciphered and manually digitized to verify work outcomes. This process is time-consuming and leaves much room for error. To maximize quality and efficiency while minimizing errors, we deployed a robu
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Avgoustopoulos, Alexandre, Sagarika Gangopadhyay, Chetanshu Kumar Naik, Mohamed Negm, and Mohamad Khairil Ikram Abdull Halim. "Digitizing the Well Planning Process: Quicker, Better, and More Collaborative." In SPE/IADC Middle East Drilling Technology Conference and Exhibition. SPE, 2025. https://doi.org/10.2118/225688-ms.

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Abstract Well design has been traditionally a complex, time consuming and iterative process requiring input and design constraints from multiple departments to achieve an optimal solution. Drilling engineers repeatedly cycle through multiple iterations of their design, incorporating feedback from the operator's geological and geophysical department or various service providers such as drilling, cementing, fluids, or completions engineers, among others, at each step. This approach enables continuous improvement, ensuring the final design effectively addresses stakeholder needs and project objec
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Wyszkowska, Patrycja, and Robert Duchnowski. "Assessing vertical terrain displacement from TLS data by applying Msplit estimation – theoretical analysis." In 5th Joint International Symposium on Deformation Monitoring. Editorial de la Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/jisdm2022.2022.13677.

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Terrestrial laser scanning (TLS) is a measurement technique that has become popular in the last decades. Measurement results, usually as a point cloud, contain many points measured. When the TLS technique is used to determine terrain surface (e.g., by determining terrain profiles), one should realize that some points measured do not concern the terrain surface itself, but trees, shrubs, or generally the vegetation cover. Considering terrain surface determination, they should be regarded as outliers. Some other observations can also be outliers of different origins; for example, they might be d
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Anand, A., R. Mujaini, and A. Ghufaili. "Capitalizing on Human – Technology Interaction for Shifting from Automated to Augmented History Matching: A Classical Demonstration to Front End Study for a Complex Thermal Field in Petroleum Development Oman." In SPE Advances in Integrated Reservoir Modelling and Field Development Conference and Exhibition. SPE, 2025. https://doi.org/10.2118/225304-ms.

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Abstract This paper presents a classical demonstration of human-machine interaction to design and deploy a history matching workflow for a complex EOR brown field development. The field in the Sultanate of Oman (with viscosity from 400cP - 600,000cP) under study is unique with hardly any analogue and is developed thermally. Thermal simulations for such complex fields at fullfield scale become computationally intensive, especially when integrating multiple finer geological realisations with suite of dynamic data, e.g., continuous data from observation wells, time-lapse logs etc. in addition to
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Reports on the topic "Robust Cloud Solutions"

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Gouveia, Elvis, Fernando Diaz, Sadi Datsch, and William D'Andrea Fonseca. HBK 2255 with Building Acoustics Partner. Sociedade Brasileira de Acústica, 2024. https://doi.org/10.55753/aev.v39e56.282.

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The day-to-day acoustic performance measurements according to the standard ABNT NBR 15575:2021 require light and robust equipment with integrated solutions that facilitate service and reduce the possibility of errors. Considering such needs, HBK has developed a product line focused on the daily life of construction sites. The HBK 2255 sound level meter, integrated into the Building Acoustics Partner, assists decision-making during measurement with predefined steps for measuring and real-time data visualization. The HBK 2255 can be controlled remotely via Wi-Fi or Bluetooth, eliminating the nee
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Leathers, Emily, Clayton Thurmer, and Kendall Niles. Encryption for edge computing applications. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48596.

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As smart sensors and the Internet of Things (IoT) exponentially expand, there is an increased need for effective processing solutions for sensor node data located in the operational arena where it can be leveraged for immediate decision support. Current developments reveal that edge computing, where processing and storage are performed close to data generation locations, can meet this need (Ahmed and Ahmed 2016). Edge computing imparts greater flexibility than that experienced in cloud computing architectures (Khan et al. 2019). Despite these benefits, the literature highlights open security i
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Kong, Zhihao, and Na Lu. Determining Optimal Traffic Opening Time Through Concrete Strength Monitoring: Wireless Sensing. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317613.

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Construction and concrete production are time-sensitive and fast-paced; as such, it is crucial to monitor the in-place strength development of concrete structures in real-time. Existing concrete strength testing methods, such as the traditional hydraulic compression method specified by ASTM C 39 and the maturity method specified by ASTM C 1074, are labor-intensive, time consuming, and difficult to implement in the field. INDOT’s previous research (SPR-4210) on the electromechanical impedance (EMI) technique has established its feasibility for monitoring in-situ concrete strength to determine t
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