Search Results - (( evolution classifications using algorithm ) OR ( data replication based algorithm ))
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1
Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
2
Relationship based replication algorithm for data grid
Published 2014“…The Relationship based Replication algorithm aims to improve the Data Grid performance by reducing the job execution time, bandwidth and storage usage.The RBR was realized using a network simulation (OptorSim) and experiment results revealed that it offers better performance than existing replication algorithms.…”
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Monograph -
3
Online Dynamic Replication and Placement Algorithms for Cost Optimization of Online Social Networks in Two-tier Multi-cloud
Published 2024journal::journal article -
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Online dynamic replication and placement algorithms for cost optimization of online social networks in two-tier multi-cloud
Published 2024“…The second algorithm is Dynamic Exponential Time (DET) which determines the data object replication and placement based on exponential time periods. …”
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Article -
5
An adaptive data replication and placement for efficient data storage of online social networks using two-tier multi-cloud environment
Published 2022“…The second algorithm is Dynamic Exponential Time (DET) which determines the data object replication and placement based on exponential time periods. …”
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Article -
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Dynamic replication algorithm in data grid: Survey
Published 2008“…A dynamic replication model based on mathematical concepts is proposed. …”
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Book Section -
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A novel deadlock detection algorithm for neighbour replication on grid environment
Published 2012“…The use of three to five transactions is in NRG the data will be replicated into three to five sites. …”
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Thesis -
8
Managing Heterogeneous Database Replication Using Persistence Layer Synchronous Replication (PLSR)
Published 2013“…Proper mechanism is significantly required in order to manage the complex heterogeneous data replication. This paper presents a new algorithm namely the Persistence Layer Synchronous Replication (PLSR) in order to manage the agent handling the replication. …”
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Article -
9
Differential evolution for neural networks learning enhancement
Published 2008“…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
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Thesis -
10
Dynamic replication aware load blanced scheduling in distributed environment / Said Bakhshad
Published 2018“…The grid processing is a viable computing surrounding. Data replication is viewed as a vital boost mechanism in data grids. …”
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Thesis -
11
Replica Creation Algorithm for Data Grids
Published 2012“…This thesis presents a new replication algorithm that improves data access performance in data grids by distributing relevant data copies around the grid. …”
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Thesis -
12
Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The motivation of implementation is to make sure the data replication is easy to maintain and cost effective. …”
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13
Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
Published 2018“…DE is very sensitive to its parameter settings and mutation strategy; thus, this study aims to investigate these settings with the diverse versions of adaptive DE algorithms. This study has two main objectives: (1) to present an extension for the original taxonomy of evolutionary algorithms (EAs) parameter settings that has been overlooked by prior research and therefore minimize any confusion that might arise from the former taxonomy and (2) to investigate the various algorithmic design schemes that have been used in the different variants of adaptive DE and convey them in a new classification style. …”
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Article -
14
Design Of Feature Selection Methods For Hand Movement Classification Based On Electromyography Signals
Published 2020“…In this regard, this thesis proposes five FS methods for efficient EMG signals classification. The first method is the Binary Tree Growth Algorithm (BTGA), which implements a hyperbolic tangent function to convert the Tree Growth Algorithm into the binary version. …”
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Thesis -
15
Dynamic replica replacement strategy in data grid
Published 2012“…Data replication strategy is widely adopted for large scale data-intensive applications in distributed network such as data grid. …”
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16
Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm
Published 2019“…Furthermore, the right and left occipital channels may help in identifying happiness, sadness, surprise and neutral emotional states. The DEFS_Ch algorithm raised the linear discriminant analysis (LDA) classification accuracy from 80% to 86.85%, indicating that DEFS_Ch may offer a useful way for reliable enhancement of the detection of different emotional states of the brain regions.…”
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17
Intersection Features For Android Botnet Classification
Published 2019“…The Chi Square was used to select the most significant permissions, then the classification algorithms like Naïve Bayes and Decision Tree were used to classify the Android apps as botnet or benign apps. …”
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Article -
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Feature selection optimization using hybrid relief-f with self-adaptive differential evolution
Published 2017“…Hence, feature selection is embedded to select the most meaningful features based on their rank. Differential evolution (DE) is one of the evolutionary algorithms that are widely used in various classification domains. …”
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Improving response time, availability and reliability through asynchronous replication technique in cluster architecture of web server cluster
Published 2010“…This paper proposes an algorithm of data replication scheme based on asynchronous replication in order to improve web server cluster system reliability. …”
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Conference or Workshop Item -
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A framework for implementing asynchronous replication scheme in utility-based computing environment
Published 2016“…This paper addresses a problem on implementing an asynchronous replication scheme in utility-based computing environment. …”
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