[HTML][HTML] Utilizing power consumption and SLA violations using dynamic VM consolidation in cloud data centers

U Arshad, M Aleem, G Srivastava, JCW Lin - Renewable and Sustainable …, 2022 - Elsevier
Cloud Computing services can be accessed anytime, anywhere via the Internet. The
overwhelming growth of cloud data centers over the past decade has increased their costs …

[HTML][HTML] A review of artificial intelligence in embedded systems

Z Zhang, J Li - Micromachines, 2023 - mdpi.com
Advancements in artificial intelligence algorithms and models, along with embedded device
support, have resulted in the issue of high energy consumption and poor compatibility when …

[HTML][HTML] A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster

U Ahmed, JCW Lin, G Srivastava, M Aleem - Soft Computing, 2021 - Springer
Nowadays, embedded systems are comprised of heterogeneous multi-core architectures, ie,
CPUs and GPUs. If the application is mapped to an appropriate processing core, then these …

CPU-GPU cooperative QoS optimization of personalized digital healthcare using machine learning and swarm intelligence

K Cao, Y Cui, L Li, J Zhou, S Hu - IEEE/ACM Transactions on …, 2022 - ieeexplore.ieee.org
In recent decades, the rapid advances in information technology have promoted a
widespread deployment of medical cyber-physical systems (MCPS), especially in the area of …

Embedded intelligence: State-of-the-art and research challenges

KP Seng, LM Ang - IEEE Access, 2022 - ieeexplore.ieee.org
Recent years have seen deployments of increasingly complex artificial intelligent (AI) and
machine learning techniques being implemented on cloud server architectures and …

Pre-production box-office success quotient forecasting

U Ahmed, H Waqas, MT Afzal - Soft Computing, 2020 - Springer
Hollywood enjoys the position of being the biggest movie producers when it comes to global
recognition among movie-making industries. Despite being the biggest movie producer, it …

Heterogeneous energy-aware load balancing for industry 4.0 and IoT environments

U Ahmed, JCW Lin, G Srivastava - ACM Transactions on Management …, 2022 - dl.acm.org
With the improvement of global infrastructure, Cyber-Physical Systems (CPS) have become
an important component of Industry 4.0. Both the application as well as the machine work …

Machine learning for load balancing in the linux kernel

J Chen, SS Banerjee, ZT Kalbarczyk… - Proceedings of the 11th …, 2020 - dl.acm.org
The OS load balancing algorithm governs the performance gains provided by a
multiprocessor computer system. The Linux's Completely Fair Scheduler (CFS) scheduler …

KubeSC‐RTP: Smart scheduler for Kubernetes platform on CPU‐GPU heterogeneous systems

I Harichane, SA Makhlouf… - … and Computation: Practice …, 2022 - Wiley Online Library
Heterogeneous systems composed of multiple CPUs and GPUs are progressively attractive
as platforms for high performance computing because of their higher performance …

A parallel algorithm of image mean filtering based on OpenCL

H Xiao, B Guo, H Zhang, C Li - IEEE Access, 2021 - ieeexplore.ieee.org
The image will be contaminated by noise during the imaging process, which severely
degrades the image quality. It is necessary to filter the collected image. With the increasing …