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Research ArticleOpen accessEvery word in the titleImplementation of Load Balancing Algorithm in a Grid ComputingAbdallah Boukerram, Samira Ait Kaci AzzouThe emergence of the grid computing constituted by several resources stood out as platform of development for the industrial applications treating big quantities of data. In these environments of high- throughput computing, numerous researches were dedicated these last five years to the load balancing to make profitable the power of calculations in the grid. This paper describes the complete implementation … …American Journal of Applied Sciences, Vol. 3, Issue 4 · 30 Apr 2006 · 7,411 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModeling Load Balancing in Heterogeneous Unstructured P2P SystemsZhi Jun Li, Ming Hong LiaoLoad balancing is a generally concerned problem in peer-to-peer (P2P) systems. Many researches on load balancing in the structured P2P systems have been launched currently, such as Chord or other DHTs. Although the researches on load balancing in unstructured P2P systems are emerged nowadays, the simple mechanisms achieved can only perform effectively in uniform environment. In this study, the influence … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,783 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCritical Amino Acid and Energy Balancing to Address MaizeGrade Variation in Broiler PerformanceMd. Shahidur Rahman, Muhammad Farhad Hossain, Million Maksuda et al.This study aimed to evaluate the effects of maize grade variationin broiler performance. A total of 189 Cobb 500 broilers were randomly andevenly assigned to three dietary treatments having three replications of 21 birds each. The treatments were: T0 (feed formulated with grade-A maize), T1 (feed formulated with grade-B maize, with Metabolizable Energy (ME) deficiencies compensated by additional Soybean Oil … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 10 Jul 2025 · 2,958 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCost Effective Expa-Max-Min Scientific Workflow Allocation and Load Balancing Strategy in Cloud ComputingJames Kok Konjaang, Fahrul Hakim Ayob, Abdullah MuhammedThe rise in demand for cloud resources (network, hardware and software) requires cost effective scientific workflow scheduling algorithm to reduce cost and balance load of all jobs evenly for a better system throughput. Getting multiple scientific workflows scheduled with a reduced makespan and cost in a dynamic cloud computing environment is an attractive research area which needs more attention. Scheduling … …Journal of Computer Science, Vol. 14, Issue 5 · 13 Jan 2018 · 8,585 accessesView PDFCite
InvestigationOpen accessEvery word in the titleLoad Balancing For Cloud-Based Dynamic Data ProcessingTalal Talib JameelThe Map/Reduce paradigm has dominated cloud computing since its beginnings. However, there are some scenarios in which Map/Reduce is not the best model. Once such situation is a system that collects data dynamically, with intermittent arrival times. In this study, we study a modified form of Map/Reduce that uses a load balancer to distribute work, rather than simply assigning a … …Journal of Computer Science, Vol. 13, Issue 8 · 20 May 2017 · 7,111 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUSING MOBILE AGENTS FOR LOAD BALANCING IN PEER-TO-PEER SYSTEMS HOSTING VIRTUAL SERVERSVijayaKumar G. Dhas, S. Saibharath, V. Rhymend UthariarajThis study proposes a novel load-balancing algorithm for managing virtual servers in a Peer-To-Peer (P2P) system through mobile agents. The proposed algorithm is implemented in a fully decentralized manner for a structured P2P system. It uses mobile agents and is independent of the geometry of the P2P auxiliary networks. The load-balancing algorithm effectively reduces the load imbalance of the system … …Journal of Computer Science, Vol. 10, Issue 6 · 27 Jan 2014 · 6,353 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Evaluation of Modified AODV for Load BalancingAmita Rani, Mayank DaveAODV is a prominent routing protocol for MANET that uses hop count as a path selection metric. However, AODV has no means to convey traffic load on current route. This study focuses on introducing a new metric, Aggregate Interface Queue Length (AIQL), in AODV in order to deal with load balancing issues. Performance evaluation through simulation shows that the modified … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,102 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModel for Load Balancing On Processors in Parallel Mining of Frequent ItemsetsRavindra Patel, S. S. Rana, K. R. PardasaniThe existence of many large transactions distributed databases with high data schemas, the centralized approach for mining association rules in such databases will not be feasible. Some distributed algorithms have been developed [FDM, CD], but none of them have considered the problem of data skews in distributed mining of association rules. The skewness of datasets reduces the workload balancing between … …American Journal of Applied Sciences, Vol. 2, Issue 5 · 31 May 2005 · 7,341 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimized WFST-Based ASR for Arabic: Balancing Memory, Speed, and AccuracyWael A. Sultan, Mourad S. Semary, Sherif M. AbdouWeighted Finite-State Transducers (WFSTs) have revolutionized Automatic Speech Recognition (ASR) by enabling significantly faster decoding speeds compared to traditional systems that build the search space progressively. However, applying WFSTs to morphology-rich languages such as Arabic presents challenges due to the large vocabulary, resulting in extensive networks that exceed the memory capacity of standard CPUs. This study introduces various strategies to … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,442 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving Diabetes Risk Prediction Using Ensemble Boosting and SMOTE-Based Class BalancingKittipol Wisaeng, Pankom Sriboonlue, Benchalak MuangmeesriAccurate diabetes prediction is vital for early intervention, optimized resource allocation, and minimizing long-term complications. This study presents a comparative evaluation of traditional and advanced machine learning models for diabetes classification using a structured clinical dataset. Seven baseline algorithms were assessed against five advanced ensemble methods: CatBoost, LightGBM, XGBoost, Voting Ensemble, and Stacking Ensemble. To improve algorithm learning, the Synthetic … …Journal of Computer Science, Vol. 22, Issue 1 · 1 Feb 2026 · 1,976 accessesView PDFCite