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 …
intensive systems. Here, prefetching is a widely used technique to increase data-intensive …
Resemble: reinforced ensemble framework for data prefetching
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 …
beforehand. Most prefetchers in the literature are efficient for specific memory address …
Applying deep learning to object store caching
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 …
computer science. But recent advances in the fields of artificial intelligence and machine …
DeePref: Deep Reinforcement Learning For Video Prefetching In Content Delivery Networks
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 …
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 …
designs, there is tremendous need for techniques to fully utilize the compute power by …
Prefetching for cloud workloads: An analysis based on address patterns
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 …
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
Data-intensive Web Applications built using client-server architectures usually provide
prefetching mechanisms to enhance data accessibility. Prefetching is a strategy of retrieving …
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
Object-based cloud storage presents an unconventional storage model. Exploiting its
unique characteristics, such as the strong semantic correlations among objects and the high …
unique characteristics, such as the strong semantic correlations among objects and the high …
Revisiting data prefetching for database systems with machine learning techniques
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 …
future page access patterns and fetching pages to be accessed ahead of time to mitigate …
[PDF][PDF] Towards bandwidth-efficient prefetching with slim ampm
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 …
sensitive to the L2 cache bandwidth. Therefore any intelligent prefetcher should optimize …