Towards Resilient Method: An exhaustive survey of fault tolerance methods in the cloud computing environment

MA Shahid, N Islam, MM Alam, MS Mazliham… - Computer Science …, 2021 - Elsevier
Fault Tolerance (FT) is one of the cloud's very critical problems for providing security
assistance. Due to the diverse service architecture, detailed architectures & multiple …

Fault‐tolerance approaches for distributed and cloud computing environments: A systematic review, taxonomy and future directions

M Kirti, AK Maurya, RS Yadav - Concurrency and Computation …, 2024 - Wiley Online Library
Fault tolerance is crucial in ensuring smooth working of distributed and cloud computing. It is
challenging to implement because of the constantly changing infrastructure and complex …

Prospects for developing digital telecommunication complexes for storing and analyzing media data

V Kuklin, I Alexandrov, D Polezhaev… - Bulletin of Electrical …, 2023 - beei.org
In today's digital world, saturated with data flows, universal multifunctional systems are
developing, capable of solving various problems related to optimizing the use of available …

An efficient fault tolerance scheme based enhanced firefly optimization for virtual machine placement in cloud computing

A Sheeba, B Uma Maheswari - Concurrency and Computation …, 2023 - Wiley Online Library
The virtual machine placement for the highly reliable cloud application is considered as one
of the challenging and critical issues. To tackle such an issue, this article proposes the …

Fuzzy Logic and ANN in an Artificial Intelligent Cloud: A Comparative Study

P Chopra, M Gupta - Intelligent Communication Technologies and Virtual …, 2023 - Springer
Artificial intelligence has a remarkable effect in every field. Various tools of artificial
intelligence have proved themselves in different sectors. Whether it is the banking sector …

[HTML][HTML] Heterogeneous ensemble machine learning to predict the asiaticoside concentration in centella asiatica urban

K Sriprateep, S Sala-Ngamand, S Khonjun… - Intelligent Systems with …, 2024 - Elsevier
This study proposes a novel heterogeneous ensemble machine learning methodology to
predict the concentration of asiaticoside in Centella asiatica (CA-CA) in the context of the …

Photovoltaic power prediction based on sky images and tokens-to-token vision transformer.

Q Dai, X Hou, D Su, Z Cui - International Journal of …, 2023 - search.ebscohost.com
Photovoltaic (PV) power generation has high uncertainties due to the randomness and
imbalance nature of solar energy and meteorological parameters. Hence, accurate PV …

Development of an intelligent digital twins framework for secure container terminal operations

S Jakovlev, T Eglynas, M Voznak… - … Science of Riga …, 2021 - ieeexplore.ieee.org
This paper aims to analyze the operations performed at the container terminal and to
propose a new digital twin (DT)-based framework increasing the level of safety and security …

Leveraging Distributed Systems for Fault-Tolerant Cloud Computing: A Review of Strategies and Frameworks

SM Almufti, SRM Zeebaree - Academic Journal of Nawroz …, 2024 - journals.nawroz.edu.krd
Ensuring system availability and reliability is crucial in the quickly developing field of cloud
computing. The importance of fault tolerance in cloud infrastructure systems grows as …

A job scheduling algorithm based on parallel workload prediction on computational grid

X Tang, Y Liu, T Deng, Z Zeng, H Huang, Q Wei… - Journal of Parallel and …, 2023 - Elsevier
Generally, the computational grid consists of a large number of computing nodes, some of
them are idle due to the uneven geographical distribution of computing requirements. This …