Practical Adoption of Cloud Computing in Power Systems—Drivers, Challenges, Guidance, and Real-World Use Cases

Zhang, Song; Pandey, Amritanshu; Luo, Xiaochuan; Powell, Maggy; Banerji, R.; Fan, Lei; Parchure, Abhineet; Luzcando, Eduardo

doi:10.1109/tsg.2022.3148978

Cited by 20 publications

(8 citation statements)

References 31 publications

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“…With data stored in the cloud, accountants can access financial information securely, fostering collaborative work and timely decision-making. Whether working from home, on-site with a client, or during business travel, cloud-based solutions provide a consistent and reliable platform for accountants to access the tools and data they need (Zhang et al, 2022). This increased accessibility contributes to operational resilience and ensures that accounting firms can efficiently serve their clients in various scenarios.…”

Section: Scalability Of Accounting Operations In the Cloudmentioning

confidence: 99%

Evaluating the impact of cloud computing on accounting firms: A review of efficiency, scalability, and data security

Akoh Atadoga,

Uchenna Joseph Umoga,

Oluwaseun Augustine Lottu

et al. 2024

Global J. Eng. Technol. Adv.

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Cloud computing has emerged as a transformative force, revolutionizing the landscape for accounting firms. This comprehensive review delves into the profound impact of cloud computing on accounting firms, focusing on key dimensions such as efficiency, scalability, and data security. Examining the shift from traditional infrastructure to cloud-based solutions, the review navigates through the tangible benefits and potential challenges that cloud adoption brings to the accounting domain. Efficiency stands out as a cornerstone of cloud computing's influence on accounting firms. The agility and accessibility offered by cloud-based platforms streamline routine tasks, facilitating seamless collaboration among accounting professionals. The scalability afforded by cloud services empowers firms to dynamically adjust their computing resources, adapting to fluctuations in workload and business demands. This ensures that accounting firms can efficiently handle diverse workloads without being constrained by rigid infrastructure limitations. Scalability further intersects with efficiency, enabling accounting firms to optimize resource allocation and enhance overall productivity. The scalability of cloud solutions aligns with the dynamic nature of the accounting profession, allowing firms to scale up during peak seasons and scale down during lulls, ultimately fostering cost-effectiveness and operational agility. However, the review also critically evaluates the nuances of data security in the cloud computing paradigm. Addressing concerns related to data privacy, confidentiality, and compliance, the review navigates the intricate landscape of securing financial data in a cloud-based environment. It probes into the robustness of encryption protocols, authentication mechanisms, and compliance frameworks, ensuring a comprehensive understanding of the security implications inherent in cloud adoption by accounting firms. In conclusion, this review encapsulates the multifaceted impact of cloud computing on accounting firms. Efficiency gains and scalability advantages are juxtaposed against the imperative of fortifying data security. This examination provides a roadmap for accounting professionals, offering insights into harnessing the full potential of cloud technologies while ensuring the integrity and security of sensitive financial data. As accounting firms increasingly pivot towards cloud adoption, this review serves as a strategic guide, equipping practitioners with the knowledge to navigate the evolving landscape of cloud computing in the realm of accounting.

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Section: Scalability Of Accounting Operations In the Cloudmentioning

confidence: 99%

Evaluating the impact of cloud computing on accounting firms: A review of efficiency, scalability, and data security

Akoh Atadoga,

Uchenna Joseph Umoga,

Oluwaseun Augustine Lottu

et al. 2024

Global J. Eng. Technol. Adv.

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“…Declarative APIs enable automated scaling and self-healing capabilities, allowing applications to adapt dynamically to changes in workload or infrastructure conditions. Additionally, cloud-native platforms provide built-in features for load balancing, fault tolerance, and redundancy, enhancing overall system resilience and reliability (Zhang et al, 2022).…”

Section: Fundamentals Of Cloud-native Architecturementioning

confidence: 99%

A comprehensive review of leveraging cloud-native technologies for scalability and resilience in software development

Oyekunle Claudius Oyeniran,

Oluwole Temidayo Modupe,

Aanuoluwapo Ayodeji Otitoola

et al. 2024

Int. J. Sci. Res. Arch.

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In the landscape of modern software development, the demand for scalability and resilience has become paramount, particularly with the rapid growth of online services and applications. Cloud-native technologies have emerged as a transformative force in addressing these challenges, offering dynamic scalability and robust resilience through innovative architectural approaches. This paper presents a comprehensive review of leveraging cloud-native technologies to enhance scalability and resilience in software development. The review begins by examining the foundational concepts of cloud-native architecture, emphasizing its core principles such as containerization, microservices, and declarative APIs. These principles enable developers to build and deploy applications that can dynamically scale based on demand while maintaining high availability and fault tolerance. Furthermore, the review explores the key components of cloud-native ecosystems, including container orchestration platforms like Kubernetes, which provide automated management and scaling of containerized applications. Additionally, it discusses the role of service meshes in enhancing resilience by facilitating secure and reliable communication between microservices. Moreover, the paper delves into best practices and patterns for designing scalable and resilient cloud-native applications, covering topics such as distributed tracing, circuit breaking, and chaos engineering. These practices empower developers to proactively identify and mitigate potential failure points, thereby improving the overall robustness of their systems. This review underscores the significance of cloud-native technologies in enabling software developers to build scalable and resilient applications. By embracing cloud-native principles and adopting appropriate tools and practices, organizations can effectively meet the evolving demands of modern software development in an increasingly dynamic and competitive landscape.

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“…From the many barriers to the adoption of new technology identified by Rogers ( 1962 ), we focus our discussion here on two relevant categories: barriers caused by the technology itself (TRL) and barriers caused by the user's ability to use the technology effectively (HRL). From cloud computing (Zhang et al, 2021 ) to smart grid technologies (Dedrick et al, 2015 ) to system and information security (Schoenmakers, 2013 ), the adoption of technology into control rooms encounters many of these barriers as well as others.…”

Section: Related Workmentioning

confidence: 99%

A Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis

Wenskovitch

Jefferson²,

Anderson³

et al. 2022

Front. Big Data

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This work presents the application of a methodology to measure domain expert trust and workload, elicit feedback, and understand the technological usability and impact when a machine learning assistant is introduced into contingency analysis for real-time power grid simulation. The goal of this framework is to rapidly collect and analyze a broad variety of human factors data in order to accelerate the development and evaluation loop for deploying machine learning applications. We describe our methodology and analysis, and we discuss insights gained from a pilot participant about the current usability state of an early technology readiness level (TRL) artificial neural network (ANN) recommender.

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Practical Adoption of Cloud Computing in Power Systems—Drivers, Challenges, Guidance, and Real-World Use Cases

Cited by 20 publications

References 31 publications

Evaluating the impact of cloud computing on accounting firms: A review of efficiency, scalability, and data security

Evaluating the impact of cloud computing on accounting firms: A review of efficiency, scalability, and data security

A comprehensive review of leveraging cloud-native technologies for scalability and resilience in software development

A Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis

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