Serverless Data Pipelines for IoT Data Analytics: A Cloud Vendors Perspective and Solutions

Poojara, Shivananda R.; Dehury, Chinmaya Kumar; Jakovits, Pelle; Srirama, Satish Narayana

doi:10.1007/978-3-031-18034-7_7

Cited by 3 publications

(6 citation statements)

References 13 publications

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“…Comprehensive monitoring with dashboards and Azure services-like monitor, logic apps, and time series insights for comprehensive monitoring and real-time alerts about events or anomalies [91]. The platform also enables 3D visualization of the CPS and its physical space Large enterprises might not find ADTs suitable due to limitations in handling high traffic and potential beta-version issues.…”

Section: Adtmentioning

confidence: 99%

“…Comprehensive monitoring with dashboards and Azure services-like Monitor, Logic Apps, and Time Series Insights-facilitates real-time alerts about events or anomalies [91]. The platform also enables 3D visualization of the CPS and its physical space.…”

Section: N/amentioning

confidence: 99%

“…Azure IoT Edge extends the capabilities of Azure IoT Hub by allowing the processing and analysis of data at the edge devices themselves. This is beneficial for scenarios requiring low latency, offline capabilities, or reduced cloud dependency [91]. Data analysis is provided using various services such as Azure Time Series Insights, Stream Analytics, ML, Cognitive Services, advanced analytics, and algorithms [91,95].…”

Section: N/amentioning

confidence: 99%

“…This is beneficial for scenarios requiring low latency, offline capabilities, or reduced cloud dependency [91]. Data analysis is provided using various services such as Azure Time Series Insights, Stream Analytics, ML, Cognitive Services, advanced analytics, and algorithms [91,95].…”

Section: N/amentioning

confidence: 99%

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Digital Twins for Enhancing Efficiency and Assuring Safety in Renewable Energy Systems: A Systematic Literature Review

Hashmi,

Liu,

Yavari

2024

Energies

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As the demand for sustainable energy solutions grows, there is a critical requirement for continuous innovation to optimize the performance and safety of renewable energy systems (RESs). Closed-loop digital twins (CLDTs)—synchronized virtual replicas embedded with real-time data and control loops to mirror the behavior of physical systems—have emerged as a promising tool for achieving this goal. This paper presents a systematic literature review on the application of digital twin (DT) technology in the context of RESs with an emphasis on the impact of DTs on the efficiency, performance, and safety assurance of RESs. It explores the concept of CLDTs, highlighting their key functionalities and potential benefits for various renewable energy technologies. However, their effective implementation requires a structured approach to integrate observation, orientation, decision, and action (OODA) processes. This study presents a novel OODA framework specifically designed for CLDTs to systematically identify and manage their key components. These components include real-time monitoring, decision-making, and actuation. The comparison is carried out against the capabilities of DT utilizing the OODA framework. By analyzing the current literature, this review explores how DT empowers RESs with enhanced efficiency, reduced risks, and improved safety assurance.

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Section: Adtmentioning

confidence: 99%

Section: N/amentioning

confidence: 99%

Section: N/amentioning

confidence: 99%

Section: N/amentioning

confidence: 99%

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Digital Twins for Enhancing Efficiency and Assuring Safety in Renewable Energy Systems: A Systematic Literature Review

Hashmi,

Liu,

Yavari

2024

Energies

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“…Serverless computing works as follows. Developers write their code and package it in containers or functions, deploying them to a serverless platform provided by a cloud vendor [37,38]. Since these functions are event-driven, the serverless platform automatically scales up the necessary resources to execute the function when an event occurs (such as a request or query being received).…”

Section: Serverless Computingmentioning

confidence: 99%

Exploring the Potential of Distributed Computing Continuum Systems

Donta,

Murturi,

Casamayor Pujol

et al. 2023

Computers

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Computing paradigms have evolved significantly in recent decades, moving from large room-sized resources (processors and memory) to incredibly small computing nodes. Recently, the power of computing has attracted almost all current application fields. Currently, distributed computing continuum systems (DCCSs) are unleashing the era of a computing paradigm that unifies various computing resources, including cloud, fog/edge computing, the Internet of Things (IoT), and mobile devices into a seamless and integrated continuum. Its seamless infrastructure efficiently manages diverse processing loads and ensures a consistent user experience. Furthermore, it provides a holistic solution to meet modern computing needs. In this context, this paper presents a deeper understanding of DCCSs’ potential in today’s computing environment. First, we discuss the evolution of computing paradigms up to DCCS. The general architectures, components, and various computing devices are discussed, and the benefits and limitations of each computing paradigm are analyzed. After that, our discussion continues into various computing devices that constitute part of DCCS to achieve computational goals in current and futuristic applications. In addition, we delve into the key features and benefits of DCCS from the perspective of current computing needs. Furthermore, we provide a comprehensive overview of emerging applications (with a case study analysis) that desperately need DCCS architectures to perform their tasks. Finally, we describe the open challenges and possible developments that need to be made to DCCS to unleash its widespread potential for the majority of applications.

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Beyond the Horizon

Sayginer,

Yurtsever

2024

Advances in Business Strategy and Competitive Advantage

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The chapter of this book explores the role of cloud computing in business management and emphasizes synergies with artificial intelligence technologies. It covers the basics of cloud computing, practical applications, scalability and security challenges. Benefits such as cost efficiency and improved decision-making are discussed, as well as data privacy and legal concerns. It also includes future trends and recommendations for optimizing artificial intelligence workloads using cloud infrastructure. This section provides information for business managers to effectively apply cloud computing in different sectors.

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Serverless Data Pipelines for IoT Data Analytics: A Cloud Vendors Perspective and Solutions

Cited by 3 publications

References 13 publications

Digital Twins for Enhancing Efficiency and Assuring Safety in Renewable Energy Systems: A Systematic Literature Review

Digital Twins for Enhancing Efficiency and Assuring Safety in Renewable Energy Systems: A Systematic Literature Review

Exploring the Potential of Distributed Computing Continuum Systems

Beyond the Horizon

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