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A technique of dispatching algorithms for web-server cluster
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Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…The works related to swarm intelligence algorithms include the development of the algorithm itself, its modification and improvisation as well as its application in solving global optimisation problems. …”
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Locust- inspired meta-heuristic algorithm for optimising cloud computing performance
Published 2023“…This algorithm can also be used for task scheduling. The proposed algorithm efficiently maps and achieves the objective function for server consolidation, optimising energy consumption, VM migrations, and server utilisation. …”
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Adaptive System State Based Load Balancing For Web Application Server Cluster Of Heterogeneous Performance Nodes
Published 2013“…This research is to propose a new efficient DNS-based load balancing algorithms that can solve a sudden increase of demand for service requests when they are applied to a local Domain Name Service (DNS) server for Web based applications and selected services. …”
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Dynamic obstacle handling in multi-robot coverage
Published 2024“…Unlike the existing Lloyd’s algorithm which primarily focuses on achieving complete coverage, the Modified Lloyd’s algorithm with VO can determine the time to collision based on the relative distances and velocities of robots and dynamic obstacle. …”
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Final Year Project / Dissertation / Thesis -
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Efficient DNS based Load Balancing for Bursty Web Application Traffic
Published 2012“…This research proposes a new efficient load balancing algorithm which applies to the local Domain Name Service (DNS) server for web based applications and services to ease the sudden increase in demand for the services. …”
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Data pre-processing on web server logs for generalized association rules mining algorithm
Published 2008“…Since the pre-processing is tedious process, it depending on the algorithm and purposes of the applications.…”
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Load balancing and server consolidation in cloud computing environments: a meta-study
Published 2019“…Therefore, this paper surveys published load balancing algorithms that achieved by server consolidation via a meta-analysis. …”
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An ensemble of neural network and modified grey wolf optimizer for stock prediction
Published 2019“…In line with the No Free Lunch theorem which suggests that no single metaheuristic is the best for all optimization problems, the search for better algorithms is still a worthy endeavour. Grey Wolf Optimizer (GWO) is a recently developed meta-heuristic algorithm which is appealing to researcher owing to its demonstrated performance as cited in the scientific literature. …”
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Mobile application design for protecting the data in cloud using enhanced technique of encryption
Published 2024journal::journal article -
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…In addition, the system is developed using the developing tools that are essential in web applications, namely. web server, database server, system server and web programming tools such as ASP and Visual Basic. …”
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Evaluation of feature selection algorithm for android malware detection
Published 2018“…Therefore, the proposed approach modified the TF-IDF algorithm, where the algorithm focused on both sample and feature. …”
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Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases
Published 2021“…To improve the ML estimators and to maintain the high breakdown point while having high dimensional data sets, a new robust estimator of banded Cholesky and L₁-median with Weiszfeld algorithm, MLѡвсн was suggested. The performance of MLѡвсн and four more modified ML-tests, namely MLtests with banded Cholesky estimator MLвсн with Thresholding MLтн with Weiszfeld Algorithm MLѡ and with Weiszfeld’s Algorithm Estimator and Thresholding MLѡтн had been examined using Type I error and power of test values in a simulation study. …”
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A framework of rough cultural algorithms in optimizing mobile web caching performance
Published 2007“…The common cause of poor performance is due to the direct access to the server (e.g. pitiable performance of server-side applications or during burst crowds) and network infrastructure (e.g. long geographical distances, network overloads, etc.). …”
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