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37 results for “Cloud Applications”
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Research ArticleOpen accessPhrase in the titleMultivalent Optimizer-Based Hybrid Genetic Algorithm for Task Scheduling in Cloud ApplicationsMeena Malik, Bhavna Gupta, Chander Prabha et al.Cloud computing platforms provide on-demand online services without the need for direct user management. Generally, big clouds distribute functions over multiple data centers at distant locations. The major facilities offered by clouds are based upon virtual machines which provide benefits in terms of low scheduling cost, improved accessibility and availability of cloud services. While transferring the tasks for effective scheduling, … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 4,900 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFramework for Enhancing the Performance of Data Intensive MPI based HPC applications on CloudAshwini Janagal Padmanabha, Sanjay Harogolige AdimurthyCloud computing is a new technology which is revolutionizing the current business model with pay-per-usage resource provisioning method. This model proves to be more profitable compared to traditional resource procurement and maintenance model. Data intensive High performance applications (HPC Application) handles large scale data sets on cluster/grid environment for enhanced performance. Most of these applications belong to the MPI category, … …Journal of Computer Science, Vol. 13, Issue 8 · 7 Aug 2017 · 7,253 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Fog Resource Provisioning and Resource Allocation using MKFCM and FPANagarjun E, Dharamendra Chouhan, Dilip Kumar SMThe expansion of Internet of Things (IoT) deployments has motivated the Fog Computing (FC) paradigm, which brings mobile-edge and cloud resources together under a single model. Allocating and provisioning application tasks across such environments poses challenges due to constrained resource capabilities, heterogeneity, mobility, network hierarchy, and unpredictability. This paper addresses the need for additional computing devices that prioritize delay-sensitive applications … …Journal of Computer Science, Vol. 22, Issue 10 · 6 Oct 2026 · 462 accessesView PDFCite
Research ArticleOpen accessIn the abstractMasterpiece 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
Review ArticleOpen accessIn the abstractExploring Applications, Datasets, Algorithms, and Technologies in Satellite Image ProcessingBijeesh TV, Bejoy BJ, Michael Moses Thiruthuvanthan, Raju GAmidst an era filled with complex local and global problems, satellite data presents itself as a revolutionary tool with unmatched potential to tackle practical problems in a variety of fields. This article investigates how satellite imagery, which is available through open data programs and repositories, is a valuable tool for applications including wildlife conservation, urban planning, precision agriculture, and disaster … …Journal of Computer Science, Vol. 21, Issue 9 · 20 Oct 2025 · 2,584 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactors Influencing the Adoption of Cloud Computing for Thai SME BusinessesArisaphat Suttidee, Charuay SavithiThis study investigates the various factors affecting the adoption of cloud computing in Thai SMEs by evaluating and contrasting the significance of these adoption factors. A comprehensive sample consisting of 384 SMEs from Northeast Thailand participated in the study by responding to detailed questionnaires that were designed for robust data collection. We employ various statistical approaches, including T and F … …Journal of Computer Science, Vol. 21, Issue 2 · 5 Jan 2025 · 7,294 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Holistic Approach to Security, Availability and Reliability in Fog ComputingAbdulrahman Alshehri, Hazzaa Alshareef, Samah Alhazmi et al.Abdulkareem, K. H., Mohammed, M. A., Gunasekaran, S. S., Al-Mhiqani, M. N., Mutlag, A. A., Mostafa, S. A., Ali, N. S., & Ibrahim, D. A. (2019). A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues. IEEE Access, 7, 153123–153140. https://doi.org/10.1109/access.2019.2947542 Alrawais, A., Alhothaily, A., Hu, C., & Cheng, X. (2017). Fog Computing for the Internet … …Journal of Computer Science, Vol. 20, Issue 6 · 20 Mar 2024 · 6,372 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Mobile Edge Computing Efficiency through Multidimensional Generative Adversarial NetworkAnitha Premkumar, Sowmya Vemagal Lakshminarayana, Shankar Rajagopal et al.Big data Processing and the IoT have recently gained popularity as study topics in MEC and thorough research is sought for well-informed decisions. Mobile edge equipment, such as base stations, routers, and edge servers, usually have limited processing capabilities compared to traditional data centers. According to this perspective, this research constructs MEC using Intelligent Outlier Detection with a Multidimensional Generative … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 4,686 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Source Cyber Intrusion Detection Using Ensemble Machine LearningTaskeen Ali Khan, Sara Abbas, Biswaranjan Senapati et al.The increased usage of digital technologies across businesses has led to an increase in cybercrime. It is difficult for existing intrusion detection systems to detect highly skilled hacking attempts; however, machine learning has been suggested as a way around these drawbacks. The purpose of this study is to evaluate how well various machine learning algorithms identify and stop cyberattacks in … …Journal of Computer Science, Vol. 21, Issue 1 · 14 Dec 2024 · 5,696 accessesView PDFCite