A Blind Load‐Balancing Algorithm (BLBA) for Distributing Tasks in Fog Nodes

N Tahmasebi-Pouya, MA Sarram… - … and Mobile Computing, 2022 - Wiley Online Library
In the distributed infrastructure of fog computing, fog nodes (FNs) can process user requests
locally. In order to reduce the delay and response time of a user's requests, incoming …

Application of neural networks in distribution of the load in cluster-based web systems

W Pokuta, K Zatwarnicki - Applied Sciences, 2021 - mdpi.com
Cloud computing systems revolutionized the Internet, and web systems in particular. Quality
of service is the basis of resource configuration management in the cloud. Load balancing …

Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead

Z Wang, K Moreland, M Larsen, J Kress… - arXiv preprint arXiv …, 2024 - arxiv.org
Particle advection is one of the foundational algorithms for visualization and analysis and is
central to understanding vector fields common to scientific simulations. Achieving efficient …

State‐of‐the‐Art Report on Optimizing Particle Advection Performance

A Yenpure, S Sane, R Binyahib… - Computer Graphics …, 2023 - Wiley Online Library
The computational work to perform particle advection‐based flow visualization techniques
varies based on many factors, including number of particles, duration, and mesh type. In …

Sub-Linear Time Sampling Approach for Large-Scale Data Visualization Using Reinforcement Learning

A Biswas, A Bhattacharya, YT Chen… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
As the compute capabilities of the modern supercomputers continue to rise, domain
scientists are able to run their simulations at very fine spatial and temporal resolutions …

ONU: A Reinforcement Load Balancing Approach for Resource-Aware Task Allocation in Distributed Systems

M Shahakar, SA Mahajan, L Patil - … International Conference on …, 2024 - ieeexplore.ieee.org
Distributed systems have revolutionized modern computing by enabling the parallel
execution of large-scale tasks across interconnected nodes. However, the heterogeneity of …

[PDF][PDF] Report for the ASCR Workshop on Visualization for Scientific Discovery, Decision-Making, and Communication

PT Bremer, G Tourassi, W Bethel, K Gaither… - 2022 - osti.gov
Visualization—the use of visual elements to explore data, form hypotheses, or convey
conclusions—is an integral part of the scientific process. Starting from an initial exploration …

[图书][B] Scalable Extraction and Visualization of Scientific Features with Load-Balanced Parallelism

J Xu - 2021 - search.proquest.com
Extracting and visualizing features from scientific data can help scientists derive valuable
insights. An extraction and visualization pipeline usually includes three steps:(1) scientific …

[PDF][PDF] Professional Preparation

LJ Chen, GK Parks, M McCarthy, D Larson… - IEEE Transactions on …, 2009 - cse.lehigh.edu
1. Q. Ye, L. Cheng, M. Chuah, and B. Davison, Performance comparison of different
multicast routing strategies in disruption tolerant networks, Computer Communications, 32 …

[引用][C] 智能可视化与可视分析

陶钧, 张宇, 陈晴, 刘灿, 陈思明, 袁晓如 - 中国图象图形学报, 2023