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A Structured Literature Review Approach to Define Serverless computing and Function as a Service 16

A Structured Literature Review Approach to Define Serverless...

引用

ieee 16th international conference on Cloud computing (ieee CLOUD)

作者： Manner, Johannes Otto Friedrich Univ Distributed Syst Grp Bamberg Germany

ISBN: (纸本)9798350304817

Nearly a decade ago, the emergence of an event-driven computing model attracted a lot of attention in industry and academia. This new computing concept has been described with a plethora of terms: Serverless computing, Function as a Service (FaaS), Serverless functions, cloud functions, server-aware vs. server-less, to name only a few of the most frequently used terms. This enumeration showcases a problem of the domain: the lack of clear terminology, a conceptualization of Serverless and FaaS and a differentiation of the two. To overcome this limitation we present a Structured Literature Review (SLR) and usage trends which help to understand the current usage of the terms. Based on characteristics extracted from several definitions and validated in the course of the SLR we demarcate Serverless and FaaS. Our SLR shows that 90% of the considered papers predominantly use the term Serverless whereas most of the authors intend to write about FaaS in the sense of our definition. Another insight is that the viewpoint on Serverless and FaaS evolved over time and that since 2021 most authors see Serverless as an umbrella term for FaaS and Backend as a Service (BaaS). Some of them also include further cloud service models, i.e. parts of PaaS and SaaS, providing a server-less experience for an application developer. This is an interpretation we share.

关键词： Serverless computing Function as a Service FaaS Structured Literature Review SLR

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Quantum Intelligence: Merging AI and Quantum computing for Unprecedented Power 2

Quantum Intelligence: Merging AI and Quantum Computing for U...

引用

2nd ieee international conference on trends in Quantum computing and Emerging Business Technologies, TQCEBT 2024

作者： Kumar, Sonu Simran, S. Singh, Manjit Chandigarh University Department of Computer Science and Engineering Punjab Mohali India

ISBN: (纸本)9798350384277

The result of AI and quantum computing coming together is the novel idea known as Quantum Intelligence (QI). This work explores the possible advantages of combining artificial intelligence (AI) and quantum computing to address difficult problems that have proven to be beyond the capabilities of conventional computer methods. This study offers a thorough grasp of the unique properties of qubits, superposition, and entanglement while examining the fundamental concepts of quantum computing. The current state of artificial intelligence is also examined, with a focus on the difficulties traditional computers have in managing the increasing complexity of computing tasks. The paper's main focus is on Quantum Intelligence, providing an explanation of how quantum algorithms might enhance machine learning procedures and improve artificial intelligence algorithms. The paper also discusses Open Source Libraries, TensorFlow Quantum, and the necessity of quantum programming languages. This abstract discusses the advantages and challenges of integrating quantum computing into AI procedures, emphasizing the necessity for hybrid models and scalable algorithms. We explore the interdependent nature of quantum and classical machine learning models and show how quantum-enhanced algorithms may be able to outperform their classical counterparts in specific application domains. The conclusion of the abstract emphasizes how the development and use of open-source frameworks and tools will fuel the transformative potential of AI and quantum computing together. © 2024 ieee.

关键词： Quantum computers

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Research on the Application of Artificial Intelligence in Equipment Manufacturing 5

Research on the Application of Artificial Intelligence in Eq...

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5th international conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM)

作者： Zhang, Yinggang Xia, Weiyi Yuan, Tongwen China Acad Machinery Sci & Technol Beijing Peoples R China Natl Res Ctr Mfg Automat Beijing Peoples R China

ISBN: (纸本)9798350363272;9798350363265

New-generation intelligent manufacturing is the core driving force of the new round of industrial revolution and the main path for the transformation and upgrading of the manufacturing industry. Equipment manufacturing, as the core and foundation of the manufacturing industry, is an important field and hotspot issue of the New-generation intelligent manufacturing. This paper, by summarizing and organizing relevant literature, elaborates on the current main artificial intelligence technologies from the perspective of Human-cyber-physical systems (HCPSs). It analyzes the current application status and development trends of artificial intelligence technology in equipment manufacturing, focusing on the application in path planning, image processing, fault diagnosis, and other aspects in equipment manufacturing, and concludes with prospects for the future.

关键词： Equipment manufacturing artificial intelligence deep learning edge computing cloud computing

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Advancements in Multi-Objective Personalized Drug Design: A Comprehensive Review of Innovative Approaches and Technologies 2

Advancements in Multi-Objective Personalized Drug Design: A ...

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2nd international conference on Emerging trends in Information Technology and Engineering, ic-ETITE 2024

作者： Mallavarapu, Jashritha Reddy Navanithi, V.K. Bejjanki, Mohit Manomay Mithun Menon, M. Jeyakumar, G. Amrita School of Computing Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350328202

This comprehensive review paper presents an in-depth exploration of diverse approaches employed in multi-objective personalized drug design, encompassing cutting-edge methodologies that leverage advanced technologies. The multifaceted landscape of drug design is scrutinized through the lenses of neural network approaches, stochastic modeling, decentralization, blockchain-based solutions, topological optimization strategies, genetic algorithm optimization, energy consumption optimization, and blockchain-based pharmaceutical supply chain management. Each approach's unique strengths and applications are thoroughly examined, shedding light on their respective contributions to the burgeoning field of personalized medicine. This review not only synthesizes the current state of research but also identifies opportunities for synergistic integration of these approaches to further enhance the precision and efficacy of personalized drug design, ultimately paving the way for a transformative era in healthcare. © 2024 ieee.

关键词： Blockchain

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NLP Research: A Historical Survey and current trends in Global, Indic, and Gujarati Languages 4

NLP Research: A Historical Survey and Current Trends in Glob...

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4th international conference on Ubiquitous computing and Intelligent Information Systems, ICUIS 2024

作者： Panchal, Brijeshkumar Y. Shah, Apurva The Maharaja Sayajirao University of Baroda Faculty of Technology and Engineering Computer Science and Engineering Department Gujarat Vadodara India Computer Engineering Department Gujarat Anand India

ISBN: (纸本)9798331529635

This research study presents a comprehensive survey of Natural Language Processing (NLP) research, tracing its historical evolution from its inception to the present. The survey explores the key milestones and advancements in NLP, focusing on global trends, as well as specific contributions from Indic languages, with a particular focus on Gujarati. The paper analyzes the current state of Gujarati NLP research, identifying existing gaps and challenges. By providing a comprehensive overview of NLP research, this study aims to guide future research directions and foster advancements in the field, particularly in the context of Indic languages. © 2024 ieee.

关键词： Natural language processing systems

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Comparative Analysis of current Infrastructure of Cloud computing Unveiling the trends of Industry 5.0 7

Comparative Analysis of Current Infrastructure of Cloud Comp...

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7th ieee international conference on Computer and Communication Engineering Technology, CCET 2024

作者： Blancaflor, Eric B. Robles, Cyrus RJ Espino, Samuel III Matignas, Kristine Grace Abisado, Mideth Palenzuela, Ronnel School of Information Technology Mapua University Manila Philippines College of Computing and Information Technologies National University Manila Philippines

ISBN: (纸本)9798350355673

This study aims at a comparative analysis of leading cloud computing architectures, focusing on their readiness for Industry 5.0. It uses Snowball Systematic Literature Review to examine key platforms like AWS, Azure, and Google Cloud to evaluate scalability, security, latency, and data processing capabilities. Emerging technologies such as edge computing and serverless computing were explored alongside data sovereignty and compliance considerations. Insights aim to inform decisions on optimizing cloud infrastructure in the promising Industry 5.0, contributing to resilient, secure, and agile ecosystems supporting this transformative era. © 2024 ieee.

关键词： Cloud platforms

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Predicting Ischemic Heart Disease Using Supervised Learning Techniques on Clinical Data 4

Predicting Ischemic Heart Disease Using Supervised Learning ...

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4th ieee international conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Bhende, Kabo Clifford Sigwele, Tshiamo Kuthadi, Venumadhav Selvaraj, Rajalakshmi Botswana International University of Science and Technology Department of Computing & Informatics Palapye Botswana

ISBN: (纸本)9798331518981

Ischemic Heart Disease (IHD) continues to be one of the world's leading causes of death, accurate predictive models are fervently needed to enable early intervention. Traditional risk assessment methods often fall short in timely detection and prevention, necessitating the development of advanced machine learning (ML) models. This review critically evaluates recent advancements in ML-based IHD prediction, focusing on their objectives, performance metrics, limitations, and datasets. Our analysis identifies Random Forest and Support Vector Machines as the most frequently adopted models, achieving accuracies often exceeding 90%. However, challenges such as small, imbalanced datasets and data privacy issues persist. Emerging trends highlight the importance of comprehensive datasets and personalized approaches to enhance model reliability and clinical applicability. Additionally, there is a growing emphasis on feature selection and data quality to improve prediction accuracy. This research proposes RF model for accurately predicting IHD. The results show that the proposed model outperforms current works with 0.93 accuracy and 0.95 Area Under the Curve. © 2024 ieee.

关键词： Prediction models

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Middle School Architect: Programmatic Modeling and Construction via a 3D Graphics Platform in Elm 2

Middle School Architect: Programmatic Modeling and Construct...

引用

2nd international conference on Emerging trends in Information Technology and Engineering, ic-ETITE 2024

作者： Parcha, Anurag Mishra, Sanjana Anand, Christopher Kumar Pushparaj, Jagalingam Simon Fraser University BurnabyBC Canada McMaster University Computing and Software HamiltonON Canada School of Computer Science and Engineering Vellore Institute of Technology TN Vellore India

ISBN: (纸本)9798350328202

Today, school students are first introduced to geom-etry and advanced mathematical concepts by plotting a graph in 2D and they struggle with 3D concepts since current technologies are either too difficult to grasp or too simple with only drag-drop functionalities disconnected from coordinates. This article presents a 3D graphics library and an interactive, educational system for visualization of a 3D environment where planks of Cross Laminated Timber (CLT) can be manipulated by geometric and mathematical functions to produce a 3D building. Throughout, there is a focus on functions, 3D geometry and other underlying mathematics, and links are made with the world of computing, specifically computer graphics, to increase students' interest and confidence. Activities built on this library simultaneously meet multiple curricular objectives: mathematics (including 3D geometry), programming (in Elm, a web program-ming language used commercially), and sustainable development (using a negative embodied carbon building material). © 2024 ieee.

关键词： Sustainable development

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Proceedings - 2024 ieee international conference on Cluster computing Workshops, CLUSTER Workshops 2024

Proceedings - 2024 IEEE International Conference on Cluster ...

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2024 ieee international conference on Cluster computing Workshops, CLUSTER Workshops 2024

ISBN: (纸本)9798350383454

The proceedings contain 49 papers. The topics discussed include: performance insights into supporting Kokkos views in the Kokkos Comm MPI library;investigating Nvidia GPU architecture trends via microbenchmarks;PowerSched - managing power consumption in overprovisioned systems;optimizing idle power of HPC systems: practical insights and methods;calculating user-centric carbon footprints for HPC;microgrid integration with high performance computing systems for microreactor operation;power-efficiency variation on A64FX supercomputers and its application to system operation;towards improving resource allocation for multi-tenant HPC systems: an exploratory HPC cluster utilization case study;advanced visualization of power, temperature, and energy metrics in HPE Cray EX systems;and enabling high-throughput parallel I/O in particle-in-cell Monte Carlo simulations with openPMD and Darshan I/O monitoring.

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Evaluating current Cloud Security Challenges and IAAS Optimization 7

Evaluating Current Cloud Security Challenges and IAAS Optimi...

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7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Charu Mathur, Sandeep Sengar, Alok Singh Noida International University School of Science Uttar Pradesh Greater Noida India Aset Amity University Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350350067

Cloud computing has revolutionized the way organizations manage and utilize computing resources, offering flexibility, scalability, and cost-effectiveness. The move to cloud settings has, however, also raised new security concerns that need to be taken into consideration. This research paper assesses the security risks that Infrastructure as a Service (IaaS) cloud settings now face and investigates possible optimisation techniques to strengthen security posture. This paper explores a number of cloud security topics, such as network security, identity and access control, data protection, and compliance issues. It also examines at how dynamic communication protocols help strengthen security and reduce vulnerabilities. This paper seeks to offer useful insights and recommendations for organisations looking to optimise their IaaS security and maximise the advantages of cloud computing while minimising risks. It does this by analysing current industry trends, best practices, and cutting-edge technology. © 2024 ieee.

关键词： Cloud security

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