Security threats and recent countermeasures in cloud computing

A Mishra, N Gupta, BB Gupta - Modern principles, practices, and …, 2020 - igi-global.com
The cloud is an appealing innovation that has driven, in record time, an extraordinary
interest. It is right now one of the busiest regions of research in IT, due to its adaptability …

Arm meets Cloud: A Case Study of MPI Library Performance on AWS Arm-based HPC Cloud with Elastic Fabric Adapter

S Xu, A Shafi, H Subramoni… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Recent advances in HPC Cloud field has made multi-core high performance VM services
more accessible. Emerging Arm based HPC systems are also receiving more attention …

An efficient virtual CPU scheduling in cloud computing

J Jang, J Jung, J Hong - Soft Computing, 2020 - Springer
In cloud computing, fine-grained virtual CPU scheduling techniques are essential in hiding
physical resources from running applications and mitigating the decrease in performance …

Benchmarking Microsoft Azure Virtual Machines for the use of HPC applications

R Aljamal, A El-Mousa, F Jubair - 2020 11th International …, 2020 - ieeexplore.ieee.org
In this paper, we present the results of performance analysis for the Microsoft Azure virtual
machines. The tests used NASA's well known NAS parallel benchmarks for High …

The Egyptian national HPC grid (EN-HPCG): open-source Slurm implementation from cluster to grid approach

M Elshambakey, AI Maiyza, MS Kashkoush… - The Journal of …, 2024 - Springer
Recently, Egypt has recognized the pivotal role of High Performance Computing in
advancing science and innovation. Additionally, Egypt realizes the importance of …

Mpi meets cloud: Case study with amazon ec2 and microsoft azure

S Xu, SM Ghazimirsaeed, JM Hashmi… - 2020 IEEE/ACM …, 2020 - ieeexplore.ieee.org
Scientists have traditionally employed High Performance Computing (HPC) systems to scale
parallel scientific applications. Over the last decade, cloud based systems have been trying …

[PDF][PDF] Automated pipeline for continual data gathering and retraining of the machine learning-based COVID-19 spread models

SB Šegota, I Lorencin, N Anđelić, D Štifanić… - … on Bioengineering and …, 2021 - bib.irb.hr
INTRODUCTION: The development of epidemiological curve models is one of the key
factors in the combat of epidemiological diseases such as COVID-19. OBJECTIVES: The …

Scaling and distribution of Particle Swarm Optimization Algorithms on Microsoft Azure

N Delis - 2023 - diva-portal.org
Objectives. The goal of this study is to identify the optimum tools and configurations to
execute a PSO algorithm on Microsoft's cloud platform, Azure. To achieve that, we choose …

Automated Pipeline for Continual Data Gathering and Retraining of the Machine Learning-Based COVID-19 Spread Models

S Baressi Šegota, I Lorencin, N Andjelic, D Štifanić… - 2021 - scidar.kg.ac.rs
INTRODUCTION: The development of epidemiological curve models is one of the key
factors in the combat of epidemiological diseases such as COVID-19. OBJECTIVES: The …

Establishment and service of user analysis environment related to computational science and engineering simulation platform

Y Kwon, I Jeon, N On, JH Seo… - Journal of Internet …, 2020 - koreascience.kr
Abstract The EDucation-research Integration through Simulation On the Net (EDISON)
platform, which is a web-based platform that provides computational science and …