The future of next generation web: Juxtaposing machine learning and deep learning-based web cache replacement models in web caching systems

E Mbunge, J Batani, SG Fashoto, B Akinnuwesi… - Computer Science On …, 2023 - Springer
Massive data generated by connected smart devices, particularly in distributed computer
networks, contributed to the large network traffic burden caused by the ever-increasing use …

Multi-tier caching analysis in CDN-based over-the-top video streaming systems

AO Al-Abbasi, V Aggarwal… - IEEE/ACM Transactions on …, 2019 - ieeexplore.ieee.org
Internet video traffic has been rapidly increasing and is further expected to increase with the
emerging 5G applications, such as higher definition videos, the IoT, and augmented/virtual …

Secure and energy-efficient transmissions in cache-enabled heterogeneous cellular networks: Performance analysis and optimization

TX Zheng, HM Wang, J Yuan - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper studies physical-layer security for a cache-enabled heterogeneous cellular
network comprised of a macro base station and multiple small base stations (SBSs). We …

Effective data management strategy and RDD weight cache replacement strategy in Spark

K Jiang, S Du, F Zhao, Y Huang, C Li, Y Luo - Computer Communications, 2022 - Elsevier
With the dramatic increase in internet users and their demand for real-time network
performance, Spark has distributed computing environment has emerged. It is widely used …

Joint radio resource allocation and cooperative caching in PD-NOMA-based HetNets

M Moghimi, A Zakeri, MR Javan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we propose a novel joint resource allocation and cooperative caching scheme
for power-domain non-orthogonal multiple access (PD-NOMA)-based heterogeneous …

Deepchunk: Deep q-learning for chunk-based caching in wireless data processing networks

Y Wang, Y Li, T Lan, V Aggarwal - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
A Data Processing Network (DPN) streams massive volumes of data collected and stored by
the network to multiple processing units to compute desired results in a timely fashion. Due …

TTLCache: Taming latency in erasure-coded storage through TTL caching

AO Al-Abbasi, V Aggarwal - IEEE Transactions on Network and …, 2020 - ieeexplore.ieee.org
Distributed storage systems are known to be susceptible to long response time, and higher
latency leads to a reduction in customers satisfaction. An elegant solution to reduce latency …

Learning-based online QoE optimization in multi-agent video streaming

Y Wang, M Agarwal, T Lan, V Aggarwal - Algorithms, 2022 - mdpi.com
Video streaming has become a major usage scenario for the Internet. The growing
popularity of new applications, such as 4K and 360-degree videos, mandates that network …

Optimal edge caching for individualized demand dynamics

G Quan, A Eryilmaz, NB Shroff - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
The ever-growing end user data demands, and the reductions in memory costs are fueling
edge-caching deployments. Caching at the edge is substantially different from that at the …

Modeling and optimization of latency in erasure-coded storage systems

V Aggarwal, T Lan - arXiv preprint arXiv:2005.10855, 2020 - arxiv.org
As consumers are increasingly engaged in social networking and E-commerce activities,
businesses grow to rely on Big Data analytics for intelligence, and traditional IT …