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36 results for “Resource Selection”
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Research ArticleOpen accessPhrase in the titleResource Selection in Grid Environment Based on Trust Evaluation Using Feedback and PerformancePrakash Mohan, Ravichandran ThangavelA grid computing is a collection of distributed computing resources owned by many organizations across boundaries and not dedicated for a single user available in the Virtual Organization. Grid computing environment provides more computational capabilities to increase the scalability and efficiency of the infra-structure. Resource selection in computational grid is the open issue for executing complex jobs. Trust is the … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 7,169 accessesView PDFCite
Research ArticleOpen accessPhrase in the titlePerformance Analysis of Resource Selection Algorithms in Grid Computing EnvironmentMalarvizhi Nandagopal, Rhymend UthariarajProblem statement: Meta- scheduling has become important due to increased number of jobs and resources in the area of grid computing to achieve the objectives of grid users and grid resources. Approach: A variety of factors need to be considered for effective scheduling of resources in such environments such as total time job spend in the grid system, global and … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,899 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDoes Predator Go for Size Selection or Preferential Toxic-Nontoxic Species Under Limited Resource?Joydeep Pal, S. Bhattacharya, J. ChattopadhyayProblem statement: Selectivity is common in predator-prey interaction but the selection mechanism is still unexplored and a debatable issue in modern theoretical and experimental ecology for numerous species across the globe. In present investigation we emphasized the hypothesis that the zooplankton is less inclined to opt the food based on size selectivity criteria than the preferential selectivity for the safe … …OnLine Journal of Biological Sciences, Vol. 10, Issue 1 · 30 Jun 2010 · 7,903 accessesView PDFCite
Research ArticleOpen accessIn the keywordsINJECT AN ELASTIC GRID COMPUTING TECHNIQUES TO OPTIMAL RESOURCE MANAGEMENT TECHNIQUE OPERATIONSR. Surendran, B. Parvatha VarthiniEvaluation of sharing on the Internet well- developed from energetic technique of grid computing. Dynamic Grid Computing is Resource sharing in large level high performance computing networks at worldwide. Existing systems have a Limited innovation for resource management process. In proposed work, Grid Computing is an Internet based computing for Optimal Resource Management Technique Operations (ORMTO). ORMTO are Elastic scheduling … …Journal of Computer Science, Vol. 9, Issue 8 · 9 Jul 2013 · 6,736 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Efficient and Effective Immune Based ClassifierShahram Golzari, Shyamala Doraisamy, Md Nasir Sulaiman, Nur Izura UdzirProblem statement: Artificial Immune Recognition System (AIRS) is most popular and effective immune inspired classifier. Resource competition is one stage of AIRS. Resource competition is done based on the number of allocated resources. AIRS uses a linear method to allocate resources. The linear resource allocation increases the training time of classifier. Approach: In this study, a new nonlinear resource allocation … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,768 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Time-Based Switch Migration Method (TSSM) for Load Balancing in Distributed Software-Defined NetworkingThangaraj E, Dinesh K, Prabhakaran Paulraj et al.Switch migration is predominantly used for workload balancing in distributed Software Defined Network (SDN) controllers. The Time-Sharing Switch Migration (TSSM) technique allowed the switch's responsibility to be divided based on the time duration condition of overload, which resulted in fewer overload events, fewer ping-pong controller issues, and more efficient controllers. However, it has higher controller resource utilization during TSSM working … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,586 accessesView PDFCite
Research ArticleOpen accessIn the abstractCUDA-Powered EDSR x4: Super-Resolution for Real-Time Video EnhancementGaneshayya Shidaganti, Shubeeksh Kumaran, Vishwachetan DSuper-Resolution enhances image or video quality by upscaling frames to higher resolutions, which is essential for applications like investigative analysis demanding higher quality. However, this process is resource-intensive. GPUs, with their thousands of CUDA cores, offer significant parallel processing advantages over CPUs, enabling faster performance. This paper presents an optimized approach for real-time video enhancement using the EDSR x4 model … …Journal of Computer Science, Vol. 21, Issue 6 · 23 May 2025 · 5,805 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactors Affecting the Selection of B2C E-Commerce Website in Vietnam: A Fuzzy AHP AnalysisQuang Hung Do, Duong Quang Khanh, Nguyen Thai SonThe burgeoning B2C e-commerce landscape in Vietnam necessitates a deeper understanding of customer selection criteria to ensure sustained satisfaction and trust. This study addresses this gap by employing a Fuzzy Analytic Hierarchy Process (FAHP) to evaluate B2C e-commerce platforms in Vietnam. The FAHP facilitates the identification of critical factors and sub-factors influencing online customer satisfaction and website selection. We leverage … …Journal of Computer Science, Vol. 21, Issue 1 · 24 Dec 2024 · 5,232 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Machine Learning Approach to Predictive Analytics in Precision Agriculture for Sustainable Crop OptimizationJignesh Kariya, Pankaj MudholkarDriven by data-enabled technologies, precision agriculture is evolving into an innovative way to increase agricultural productivity and sustainability. Conventional agricultural practices face several challenges, such as poor soil quality, inappropriate crop selection, improper resource utilization, and unpredictable climate conditions. To address these limitations, this paper proposes a hybrid machine learning framework for sustainable crop optimization and predictive analysis in precision … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 865 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of Crop Yield Detection and Prediction With Multimodal Data Using Fusion TechniquesKutlwano Sedimo, Rajalakshmi Selveraj, Venumadhav Kuthadi, Thulaganyo DimakatsoMost often, soil, environmental, and agronomic data are used in pieces, hence limiting the performance of crop selection and yield forecasting. This study develops an integrated, fusion-based framework that combines soil image classification, environmental feature analysis, and input-driven yield prediction to support precise agricultural decision-making. The system consists of three major modules: (i) a CNN for the classification of soil … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 481 accessesView PDFCite