Search Results - (( developing function machine algorithm ) OR ( service application server algorithm ))
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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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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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A technique of dispatching algorithms for web-server cluster
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Soap performance enhancement for high volume messaging / Ali Baba Dauda
Published 2018“…To achieve this aim, LZ77 compression algorithm is modified to encode more symbols. The algorithm is then integrated into two Web services with HTTP and JMS bindings. …”
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Load balancing and server consolidation in cloud computing environments: a meta-study
Published 2019“…Load balancing with server consolidation enriches the exploitation of resource utilization and can enhance Quality of Service (QoS) metrics, since data-centers and their applications are increasing exponentially. …”
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Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Pr...
Published 2024“…In this study, we used extreme learning machine (ELM)-multi-kernel least square support vector machine (ELM-MKLSSVM), extreme learning machine (ELM)-LSSVM-polynomial kernel function (PKF) (ELM-LSSVM-PKF), ELM-LSSVM-radial basis kernel function (RBF) (ELM-LSSVM-RBF), ELM-LSSVM-Linear Kernel function (LKF), ELM, and MKLSSVM models to predict water level. …”
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Development Of Generative Computer-Aided Process Planning System For Lathe Machining
Published 2019“…To validate the generated tool-path, G-codes generated in media package file (MPF) file format and verified through CNC lathe machine. Indeed, the developed algorithm was able to determine the minimum unit production cost of lathe machining part model. …”
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Efficient vehicle routing optimization for autistic users / Abdulrahman Hasan Mohammed Shabalah
Published 2020“…Therefore, in this research, a routing algorithm for ride-hailing services has been proposed. …”
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…In Chapter 2, we propose a new algorithm based on incremental Radial Basis Function Network (RBFN) to accelerate the learning in stream data. …”
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…Furthermore, similar with the Service Oriented Architecture (SOA) and the structure is flexible enough to modify i.e.; adding and removing replication server. …”
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Improving the quality of service of fixed WiMAX networks by decreasing application response time using a distributed model
Published 2022“…A brand new distributed Client-Server model was designed for the fixed WiMAX Network in order to reduce application response time. …”
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Comparison on queuing performance measures on customer’s flow using Queuing Theory Model and DSW Algorithm / Muhammad Izuanudin Azmi, Muhamad Aiman Zulhaikal Azizul and Nurul Aisya...
Published 2022“…Servers at service counters use a queuing system all over the world. …”
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. …”
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Open architecture pc-based CNC controller
Published 2006“…The objectives of this project are two: developing CNC controller and developing a prototype machine to implement the controller. …”
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Support directional shifting vector: A direction based machine learning classifier
Published 2021“…The positional error of the linear function has been modelled as a loss function which is iteratively optimized using the gradient descent algorithm. …”
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