Search Results - (( web applications out algorithm ) OR ( based application server algorithm ))*
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Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm
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A resource-aware content adaptation approach for e-learning environment / Mohd Faisal Ibrahim
Published 2017“…Second, network aware applications architecture for E-Learning system was also proposed to dynamically adjust the users' demand based on network resources. …”
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QoS based admission control using multipath scheduler for IP over satellite networks
Published 2017“…The algorithm exploits the multipath routing paradigm over LEO and GEO satellites constellation in order to achieve optimum end-to-end QoS of the client-server Internet architecture for HTTP web service, file transfer, video streaming and VoIP applications. …”
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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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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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Enhancement load balancing in failover web server by using HTTP-response status techniques with pfsense opensource / Muhammad Hafiz Ramli
Published 2020“…In conclusion, based on the ten (10) scenario, the failure error 404 and 500 occur in ICMP based monitoring, which in the network layer while congestion issue in HTTP based monitoring, which is in the application layer. …”
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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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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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A web-based implementation of k-means algorithms
Published 2022“…The project was planned using the Kanban development methodology, and was built using HTML, CSS, JavaScript, Django, NumPy and pandas. The completed web application is then hosted on Heroku. k-luster allows users to upload their own data set, or choose from one of three samples if they just want to try out the application. …”
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Final Year Project / Dissertation / Thesis -
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…Web page recommendation system is an application of Web Usage Mining (WUM) approach, which specializes in predicting the user next browsing activity in real-time Web for personalized recommendations. …”
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…This technique also introduces a multi thread based persistence layer, which supports early binding and parallel connection to the servers. …”
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Web cluster load balancing via genetic-fuzzy based algorithm
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Web application vulnerabilities detection model
Published 2016“…The algorithm is used in order to match the defined criteria of each web vulnerability with the input information about web application. …”
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Research Reports -
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Web Usage Mining Using GSP Algorithm: A Study on Sultanah Bahiyah Library Online Databases
Published 2008“…Application of data mining to the World Wide Web referred as Web mining is at the cross road of research from several research communities which can be divided into three branches: Web Content Mining, Web Structure Mining and Web Usage Mining. …”
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