Search Results - (( based application server algorithm ) OR ( its application ((_ algorithm) OR (new 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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Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…A Home Application Server (HAS) was configured for proof of concept. …”
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The new replication process will also be used in e-commerce application to secure user transaction information. …”
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Energy and performance efficient resource allocation for cloud-based data centers
Published 2015“…This thesis demonstrates that the dynamic consolidations of virtualmachines in cloud data centers by proposing energy efficient algorithms and policies. The aim of this research is to propose a few new host overload detection and VMselection algorithms in order tominimize energy consumption. …”
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An implementation of open systems interconnection (OSI) transport layer P2P identification algorithm using Netflow and Netfilter as a P2P traffic firewall / Amir Herman Amiruddin
Published 2014“…Popularity of P2P applications usage; majorly on file-sharing and video streaming has gained vast popularity and so rapid which wake up network service providers of its dominance. …”
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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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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Peer to peer trade in HTM5 meta model for agent oriented cloud robotic systems
Published 2015“…These cloud servers treat robots as any other client computer offering them platform, infrastructure, process or algorithm as a service. …”
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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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Authentication-chains: blockchain-inspired lightweight authentication protocol for IoT networks
Published 2023“…These cluster chains are connected by another blockchain. A new consensus algorithm based on proof of identity authentication is adapted to the limited computational capabilities of IoT devices. …”
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NETASA: neural network based prediction of solvent accessibility
Published 2002“…In the present work, we have implemented a server, NETASA for predicting solvent accessibility of amino acids using our newly optimized neural network algorithm. Several new features in the neural network architecture and training method have been introduced, and the network learns faster to provide accuracy values, which are comparable or better than other methods of ASA prediction. …”
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