[PDF][PDF] Computer and Information Sciences

A Tahir, F Chen, AA Almazroi… - Journal of King Saud …, 2023 - researchgate.net
abstract Latent sector errors (LSEs) in disk drives cause significant outages, data loss, and
unreliability in largescale cloud storage systems, posing not only technical challenges but …

[HTML][HTML] SWEP-RF: Accuracy sliding window-based ensemble pruning method for latent sector error prediction in cloud storage computing

A Tahir, F Chen, AA Almazroi, NF Janbi - Journal of King Saud University …, 2023 - Elsevier
Latent sector errors (LSEs) in disk drives cause significant outages, data loss, and
unreliability in large-scale cloud storage systems. Predicting LSEs can help avoid these …

Modeling and Analyzing for Data Durability Towards Cloud Storage Services

F Jiang, Y Cheng, Z Hui, R Yan - … , ICA3PP 2020, New York City, NY, USA …, 2020 - Springer
Based on the consideration of economic cost and system performance, the distributed
storage technology using multiple data replicas has been widely applied in cloud storage …

Understanding the resiliency of cloud storage services

A Ghosh, J Lakshmi - 2022 IEEE 27th Pacific Rim International …, 2022 - ieeexplore.ieee.org
A cloud storage system requires multiple functional and management layers to render a
global-scale storage solution. Providing a reliable service through this complex architecture …

Robust data preprocessing for machine-learning-based disk failure prediction in cloud production environments

S Han, J Wu, E Xu, C He, PPC Lee, Y Qiang… - arXiv preprint arXiv …, 2019 - arxiv.org
To provide proactive fault tolerance for modern cloud data centers, extensive studies have
proposed machine learning (ML) approaches to predict imminent disk failures for early …

A reliability and security enhanced framework for cloud-based storage systems

P Xiao - International Journal of Information Technology and …, 2023 - inderscienceonline.com
In cloud computing environments, reliable and secure data storage service plays a more
and more important role in many data-intensive applications. However, existing storage …

Workload forecasting and energy state estimation in cloud data centres: ML-centric approach

T Khan, W Tian, S Ilager, R Buyya - Future Generation Computer Systems, 2022 - Elsevier
Resource management in data centres continues to be a critical problem due to increased
infrastructure complexity and dynamic workload conditions. Workload and energy …

A survey on default prediction of cloud storage service

L Zhu, X Li, W Tong, C Zhang… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The opacity promotes the extensiveness of cloud storage resources, while it wears the trust
of users in cloud storage resources on the other hand. In the event of a default in cloud …

Hybrid approach for improving the performance of data reliability in cloud storage management

A Alzahrani, T Alyas, K Alissa, Q Abbas, Y Alsaawy… - Sensors, 2022 - mdpi.com
The digital transformation disrupts the various professional domains in different ways,
though one aspect is common: the unified platform known as cloud computing. Corporate …

Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting

D Carraro, A Rossi, A Visentin… - 2023 IEEE 31st …, 2023 - ieeexplore.ieee.org
Cloud computing has seen widespread adoption because it increases the productivity and
efficiency of industries and allows for effective scalability of their business [1]. Guaranteeing …