A deep learning-based prefetching approach to enable scalability for data-intensive applications

T Buyuktanir, MS Aktas - … Conference on Big Data (Big Data), 2022 - ieeexplore.ieee.org
Fast data delivery to users is a big challenge in client-server architecture-based data-
intensive systems. Here, prefetching is a widely used technique to increase data-intensive …

Resemble: reinforced ensemble framework for data prefetching

P Zhang, R Kannan, A Srivastava… - … Conference for High …, 2022 - ieeexplore.ieee.org
Data prefetching hides memory latency by predicting and loading necessary data into cache
beforehand. Most prefetchers in the literature are efficient for specific memory address …

Applying deep learning to object store caching

E Ofer, A Epstein, D Sadeh, D Harnik - Proceedings of the 11th ACM …, 2018 - dl.acm.org
Cache replacement policies comprise one of the oldest and most researched topic in
computer science. But recent advances in the fields of artificial intelligence and machine …

DeePref: Deep Reinforcement Learning For Video Prefetching In Content Delivery Networks

N Alkassab, CT Huang, TL Botran - arXiv preprint arXiv:2310.07881, 2023 - arxiv.org
Content Delivery Networks carry the majority of Internet traffic, and the increasing demand
for video content as a major IP traffic across the Internet highlights the importance of caching …

Machine learning techniques for improved data prefetching

D Guttman, MT Kandemir… - … on Energy Aware …, 2015 - ieeexplore.ieee.org
With the advent of teraflop-scale computing on both a single coprocessor and many-core
designs, there is tremendous need for techniques to fully utilize the compute power by …

Prefetching for cloud workloads: An analysis based on address patterns

J Wang, R Panda, LK John - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Cloud computing is gaining popularity due to its ability to provide infrastructure, platform and
software services to clients on a global scale. Using cloud services, clients reduce the cost …

Enhancing Accessibility to Data in Data-Intensive Web Applications by Using Intelligent Web Prefetching Methodologies

T Buyuktanir, I Sigirci, M AKTAŞ - International Journal of …, 2023 - avesis.yildiz.edu.tr
Data-intensive Web Applications built using client-server architectures usually provide
prefetching mechanisms to enhance data accessibility. Prefetching is a strategy of retrieving …

Pacaca: mining object correlations and parallelism for enhancing user experience with cloud storage

B Hou, F Chen - 2018 IEEE 26th International Symposium on …, 2018 - ieeexplore.ieee.org
Object-based cloud storage presents an unconventional storage model. Exploiting its
unique characteristics, such as the strong semantic correlations among objects and the high …

Revisiting data prefetching for database systems with machine learning techniques

Y Chen, Y Zhang, J Wu, J Wang… - 2021 IEEE 37th …, 2021 - ieeexplore.ieee.org
Among diverse parts in database systems, database prefetching, which aims at predicting
future page access patterns and fetching pages to be accessed ahead of time to mitigate …

[PDF][PDF] Towards bandwidth-efficient prefetching with slim ampm

V Young, A Krishna - The 2nd Data Prefetching Championship, 2015 - researchgate.net
On chip bandwidth is a scarce resource and the performance of prefetchers can be very
sensitive to the L2 cache bandwidth. Therefore any intelligent prefetcher should optimize …