Edge AI: A Taxonomy, Systematic Review and Future Directions

Cluster Computing, Год журнала: 2024, Номер 28(1)

Опубликована: Окт. 18, 2024

Язык: Английский

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Cold Start Latency in Serverless Computing: A Systematic Review, Taxonomy, and Future Directions

ACM Computing Surveys, Год журнала: 2024, Номер 57(3), С. 1 - 36

Опубликована: Окт. 17, 2024

Recently, academics and the corporate sector have paid attention to serverless computing, which enables dynamic scalability an economic model. In users only pay for time they actually use resources, enabling zero scaling optimise cost resource utilisation. However, this approach also introduces cold start problem. Researchers developed various solutions address problem, yet it remains unresolved research area. article, we propose a systematic literature review on latency in computing. Furthermore, create detailed taxonomy of approaches latency, investigate existing techniques reducing frequency. We classified current studies into several categories such as caching application-level optimisation-based solutions, well Artificial Intelligence/Machine Learning-based solutions. Moreover, analyzed impact quality service, explored mitigation methods, datasets, implementation platforms, them based their common characteristics features. Finally, outline open challenges highlight possible future directions.

Язык: Английский

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HealthEdgeAI: GAI and XAI Based Healthcare System for Sustainable Edge AI and Cloud Computing Environments

Concurrency and Computation Practice and Experience, Год журнала: 2025, Номер 37(9-11)

Опубликована: Апрель 10, 2025

ABSTRACT Coronary heart disease is a leading cause of mortality worldwide. Although no cure exists for this condition, appropriate treatment and timely intervention can effectively manage its symptoms reduce the risk complications such as attacks. Prior studies have mostly relied on limited dataset from UC Irvine Machine Learning Repository, predominantly focusing (ML) models without incorporating Explainable Artificial Intelligence (XAI) or Generative (GAI) techniques enhancement. While some research has explored cloud‐based deployments, implementation edge AI in domain remains largely under‐explored. Therefore, paper proposes HealthEdgeAI , sustainable approach to prediction that enhances XAI through GAI‐driven data augmentation. In our research, we assessed multiple by evaluating accuracy, precision, recall, F1‐score, area under curve (AUC). We also developed web application using Streamlit demonstrate methods employed FastAPI serve optimal model an API. Additionally, examined performance these cloud computing settings comparing key Quality Service (QoS) parameters, average response rate throughput. To highlight potential computing, tested devices with both low‐ high‐end configurations illustrate differences QoS. Ultimately, study identifies current limitations outlines prospective directions future AI‐based environments.

Язык: Английский

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Transforming Modern Computing With Quantum and AI

International Journal of Information Technology Project Management, Год журнала: 2025, Номер 16(1), С. 1 - 16

Опубликована: Июнь 5, 2025

Modern computing systems are undergoing rapid transformation through theoretical advances and technical innovations. This article explores the technological application trends in quantum-driven artificial intelligence (AI) The authors explore mathematical frameworks underlying AI quantum systems, with a particular focus on role of algebraic topology circuit optimization error correction. From neural networks to transformers, they investigate how architectures reshaping computational capabilities, such as healthcare, autonomous real-time computing. They highlight key hardware 3D stacked memory, neuromorphic chips, integration. identify challenges limitations by focusing ethical considerations, computation constraints, scaling issues. looks ahead at research AI, highlighting emerging technologies, potential breakthroughs trends, spotlighting convergence trajectories.

Язык: Английский

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SWOT Analysis of Quantum Computing in Accounting

The Eurasia Proceedings of Science Technology Engineering and Mathematics, Год журнала: 2024, Номер 32, С. 194 - 207

Опубликована: Дек. 30, 2024

Язык: Английский

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