Augmenting Cloud Performance: An In-Depth Analysis of Algorithms for Data Security

Amandeep Kaur; Gagandeep Jagdev

Augmenting Cloud Performance: An In-Depth Analysis of Algorithms for Data Security

Authors: Amandeep Kaur, Gagandeep Jagdev

Unique Paper ID: 165719
Volume: 8
Issue: 7
PageNo: 597-606

Keywords: AES Cloud computing ECC Homomorphic encryption RSA.

Abstract:
Cloud computing has emerged as a revolutionary paradigm in the field of information technology, offering scalable, flexible, and cost-effective solutions for data storage and processing. This research paper explores the fundamental concepts, deployment models, and service models of cloud computing, highlighting its transformative impact on businesses and individual users. The paper delves into the technical architecture of cloud services, examining key characteristics such as on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Furthermore, it investigates the benefits of cloud computing, including enhanced scalability, operational efficiency, disaster recovery capabilities, and collaborative potential. However, the paper also addresses significant challenges such as data security, privacy concerns, regulatory compliance, potential downtime, and vendor lock-in. Through a comprehensive analysis of current literature and case studies, this research aims to provide a holistic understanding of cloud computing, offering insights into its implementation and best practices for leveraging its advantages while mitigating associated risks. The findings of this study are intended to guide organizations in making informed decisions about adopting and optimizing cloud computing solutions to achieve their strategic objectives.

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 8
Issue: 7
PageNo: 597-606

Augmenting Cloud Performance: An In-Depth Analysis of Algorithms for Data Security

Available:https://ijirt.org/Article?manuscript=165719

16 Jun, 2024

Discovering the Diversity of Neural Networks: An In-Depth Analysis of Architectures and Applications

10 Jun, 2024

UNVEILING PATTERNS IN TIME SERIES FORECASTING MODELS - ARIMA, ARIMAX, VAR

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry