Search Results - (( java implication based algorithm ) OR ( using server clustering algorithm ))
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A technique of dispatching algorithms for web-server cluster
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Web cluster load balancing via genetic-fuzzy based algorithm
Published 2007“…In this genetic-fuzzy based Generalized Dimension Exchange (GDE) method is proposed to uniformly distribute the unprecedented Web cluster workload. Fuzzy set theory is used to capture the vagueness of the workload during redistribution period. …”
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Maximizing Lifetime of Homogeneous Wireless Sensor Network through Energy Efficient Clustering Method
Published 2010“…We introduce a modified cluster based model by using special nodes called server nodes (SN) that is powerful in term of resources. …”
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Thermal-aware scheduling in green data centers / Muhammad Tayyab Chaudhry
Published 2015“…A thermal-aware server relocation algorithm (ThSRA) for thermal-stress free arrangement of servers is also proposed. …”
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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“…There are few load balancing algorithms available that help load balance works efficiently across multiple servers. …”
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Big Data Mining Using K-Means and DBSCAN Clustering Techniques
Published 2022“…The density-based spatial clustering of applications with noise (DBSCAN) and the K-means algorithm were used to develop clustering algorithms. …”
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A modified π rough k-means algorithm for web page recommendation system
Published 2018“…Hence, this study carried out several objectives to augment the support of modified clustering algorithm. Firstly, an extended K-Means clustering algorithm (called X-Means algorithm) is proposed to filter/remove the noise from user session data to eliminate outliers or irrelevant pages. …”
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Using ideal time horizon for energy cost determination
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The experimental main server and replication servers were established in Windows and Linux platform using the local area network (LAN). …”
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VANET–LTE based heterogeneous vehicular clustering for driving assistance and route planning applications
Published 2018“…To address these issues, we propose a novel destination- and interest-aware clustering (DIAC) mechanism. DIAC primarily incorporates a strategic game-theoretic algorithm and a self-location calculation algorithm. …”
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Authentication-chains: blockchain-inspired lightweight authentication protocol for IoT networks
Published 2023“…The current security model in IoT networks uses centralized key exchange servers that present a security weak point. …”
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Hybrid intelligent approach for network intrusion detection
Published 2015“…Feature selection has decreased the features from 41 to 21 features for intrusion detection and later normalization method is employed to perform and reduce the differences among the data. Clustering is the last step of processing before classification has been performed, using k-means algorithm. …”
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Performance analysis of Message Passing Interface collective communication on intel xeon quad-core gigabit ethernet and infiniband clusters
Published 2013“…The analysis indicates that the algorithm used for collective communication performed very well for all message sizes except for MPI-Bcast and MPI-Alltoall operation of inter-node communication. …”
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Cooperative heterogeneous vehicular clustering for road traffic management / Iftikhar Ahmad
Published 2019“…This situation results in redundancy in acquired TIS information and poor LTE spectrum utilization. Vehicular clustering is a solution to minimize the use of LTE and the added cost. …”
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Using Markov Model and Association Rules for Web Access Prediction
Published 2006“…This algorithm has been used to cluster similar transition behaviors for efficient used to further improve the efficiency of prediction. …”
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A Neighborhood and Machine Learning-Enabled Information Fusion Approach for the WSNs and Internet of Medical Things
Published 2022“…For this purpose, the proposed data aggregation scheme is divided into two phases: (i) identification of neighboring nodes, which is based on the MAC address and location, and (ii) data aggregation using k-mean clustering algorithm and Support Vector Machine (SVM). …”
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Predicting next page access by Markov models and association rules on web log data
Published 2006“…This algorithm has been used to cluster Web site with similar transition behaviors and compares the transition matrix to an optimal size for efficient used to further improve the efficiency of prediction. …”
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A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications
Published 2025“…The process involved clustering by divisions and designing optimal electrical power line routing for each cluster, prioritizing minimum total distance, elevation difference, and average ground flash density. …”
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