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188 articles for “Cloud”
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Research ArticleOpen accessEvery word in the titleBlockchain Integrated Distributed Threshold Elliptic Curve Cryptography Framework for Scalable and Secure Cloud Data StorageNaga Swetha Dhulipudi, Balaji SavadamThe development of cloud computing offers scalable processing capabilities, thereby enabling organizations to store and process sensitive data in the cloud. However, it faces crucial security challenges, as existing cryptographic and blockchain systems suffer from poor scalability and centralized key management, which creates a single point of failure and introduces vulnerabilities to both quantum and classical attacks. This research proposes … …Journal of Computer Science, Vol. 22, Issue 11 · 19 Oct 2026 · 395 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Dynamically Zero Trust and Risk Aware Cryptographic Orchestration Framework of Secure Multi Cloud Electronic Health RecordsD. Veerabhadra Rao, G. Appa Rao, S. AnuradhaThe adoption of multi-cloud infrastructures for Electronic Health Records (EHRs) improves scalability and accessibility but introduces security challenges such as fragmented trust management, high cryptographic overhead, and inefficient integrity verification. Existing frameworks rely on static authorization and uniform encryption mechanisms, which fail to dynamically evaluate behavioural risks associated with user access requests. Consequently, Distributed Trust Inconsistency, Cryptographic Scalability Saturation, and … …Journal of Computer Science, Vol. 22, Issue 10 · 7 Oct 2026 · 453 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleActive Reset and Scheduling in Fault-Tolerant Quantum-Classical Cloud ComputingMohamed El-DosukyQuantum-classical cloud computing refers to a hybrid computing model that integrates quantum computing with classical computing resources, typically hosted on the cloud. The objective of this paper is threefold: First, to scrutinize the computing paradigm of quantum-classical cloud computing; second, to study the three pillars of the underpinning techniques: Active reset, scheduling, and fault tolerance; third, to demonstrate the realization … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Sep 2026 · 767 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMasterpiece Optimization Algorithm-Based Priority-Aware Load Balancing Strategy for Cloud Data CentersS Vijaykumar, Shanker ChandreCloud Computing (CC) is one of the widely used technologies due to its advanced features such as pay-per-use, scalability, and flexibility. The primary objective of CC is to allow users to access and purchase cloud services that are on demand through internet-based applications. Efficient load-balancing in the cloud faces challenges of high-dimensional state spaces and scalability with increasing tasks. To … …Journal of Computer Science, Vol. 22, Issue 7 · 30 Jul 2026 · 777 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDesign and Evaluation of a Blockchain-Integrated Secure Cloud Storage SystemWalde Rajesh Baliram, Bashir Alam, M. N. DojaCloud storage is a critical part of modern computer systems that has a centralized structure, which opens sensitive data to security risks, including unauthorized access, insider threats, and data tampering. In order to mitigate these issues, this paper proposed a novel cloud storage system with built-in blockchain, AES-256 encryption, access control using smart contracts, and a dual-hash integrity check system. … …Journal of Computer Science, Vol. 22, Issue 7 · 22 Jul 2026 · 911 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMCWDRL: Multi-Cloud Workflow Scheduling Using Deep Reinforcement Learning and Improved Workflow Segmentation for Multi-Cloud EnvironmentsS. Gowri, A. SumathiThe rapid growth of cloud computing has led to complex workflow scheduling challenges in multi-cloud environments, where efficient resource utilization, minimized makespan, and reduced costs are paramount. Traditional scheduling algorithms often struggle to adapt to the dynamic nature of cloud resources and workflows, leading to suboptimal performance. To overcome this issue, the paper proposed a novel Multi-Cloud Workflow Scheduling using … …Journal of Computer Science, Vol. 22, Issue 6 · 1 Jul 2026 · 933 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimized Cloud Load Balancing Using Deep Q-Learning With Inverted S-Shaped Hierarchical Reverse Superb Fairy-Wren OptimizationB. R. Yogeetha, S. P. AnandarajCloud computing offers a scalable and cost-effective platform by providing on-demand access to shared computational resources. However, effective load balancing is essential to maintain optimal performance and maximize resource utilization for ensuring even distribution of network traffic across servers, preventing overload, improving response time and enhancing the system reliability. This manuscript proposes the Deep Q-Network with Inverted S-shaped Hierarchical Reverse … …Journal of Computer Science, Vol. 22, Issue 6 · 4 Jun 2026 · 1,497 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdvanced Grasshopper Optimization Scheduling Algorithm (AGOSA) for Multi-Cloud EnvironmentsS. Gowri, A. SumathiThe multi-cloud scheduling problem refers to the challenging task of efficiently allocating and managing resources across multiple cloud environments, involving the optimization of task scheduling, resource allocation to minimize makespan, reduce resource costs, and handle the complexity of multi-cloud environments while making optimal scheduling decisions. To overcome this issue. The paper proposes a novel scheduling algorithm, the Advanced Grasshopper Optimization … …Journal of Computer Science, Vol. 21, Issue 10 · 24 Nov 2025 · 2,646 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLeveraging Cloud Computing for Intelligent Network Management in Smart UniversitiesSitthichai Kao-Ngam, Charuay Savithi, Naruemon PantuchaCloud computing has emerged as a transformative technology that enables users to access shared services over the Internet. Its functions include data storage, processing, and resource management through powerful hardware and effective safeguards. This study uses cloud computing to improve network performance management at Mahasarakham University (MSU), Thailand. The study emphasizes the use of cloud-based tools to improve intelligent network … …Journal of Computer Science, Vol. 21, Issue 9 · 27 Oct 2025 · 2,911 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCloud Privacy Preservation Using Improved Squeezenet Based Data Sanitization and Improved Lyrebird Optimization-Based Optimal Key GenerationSmita Sharma, Sanjay TyagiMaintaining privacy in the cloud is critical, which implies reliable and effective models that are adapted to the difficulties presented by cloud settings. This paper introduces a comprehensive privacy preservation model tailored specifically for cloud environments, comprising five important phases such as data acquisition, normalization, feature extraction, sanitization and restoration. It begins with the meticulous collection of data from diverse … …Journal of Computer Science, Vol. 21, Issue 7 · 20 Aug 2025 · 3,190 accessesView PDFCite