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1
Batch mode heuristic approaches for efficient task scheduling in grid computing system
Published 2016“…In ELB algorithm, the tasks are distributed among resources based on their execution time range. …”
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2
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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3
Improving pipelined time stepping algorithm for distributed memory multicomputers
Published 2010“…We present a modified pipelined time stepping algorithm based on delayed pipelining and reduced communication strategies to improve overall execution time on a distributed memory environment using MPI. …”
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4
Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing
Published 2023“…An experiment was carried out, and the results collected were analyzed using a nonparametric statistical test, the Mann-Whitney U test, which indicates the level of significance between the distributions of data collection. …”
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5
The visualization of power density and temperature distribution of electronic system using elliptic PDE solver
Published 2008“…Numerical analysis is done in terms of execution time, number of iterations and computational complexity of the algorithm being used. …”
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Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment
Published 2022“…Hence, these gives a superior middle way between the execution of cost and time which makes it be dependable for its implementation in a real cloud computing environment. …”
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7
Parallel execution of distributed SVM using MPI (CoDLib)
Published 2023“…Instead of using a single machine for parallel computing, multiple machines in a cluster are used. …”
Conference paper -
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Statistical selection algorithm for peer-to-peer system
Published 2008“…Over the years, the distributed database has been developed so fast that there's a need to develop an effective selection algorithm for it. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…These steps have conducted using the MEMPHA model and ROA algorithm to optimize three metrics: execution time, total communication volume, and imbalance ratio (load balancing). …”
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10
Proposed system for data security in distributed computing in using triple data encryption standard and Rivest Shamir Adlemen
Published 2023“…This increases the security problems in security such as data confidentiality, data integrity and data availability, so the solution of such problems are conducted by adopting data encryption is very important for securing users data. In this paper, a comparative study is done between the two security algorithms on a cloud platform called eyeOS. …”
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Investigation of evolutionary multi-objective algorithms in solving view selection problem / Seyed Hamid Talebian
Published 2013“…Our results show that algorithms which use elitism feature are superior to other algorithms in most of the metrics. …”
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12
Join query enhancement processing (jqpro) with big rdf data on a distributed system using hashing-merge join technique
Published 2021“…The result revealed that there is a strong correlation between execution time and throughput with a strength of 99.9% percent as confirmed by the Pearson correlation coefficient. …”
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13
Load shedding scheme for islanded distribution network with flexible load selection and power changes / Ja’far Saifeddin Abdelhafiz Jallad
Published 2018“…A metaheuristic algorithm in the UFLS scheme can be used to select the best load combination in real time. …”
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A predictive approach to improve a fault tolerance confidence level on grid resources scheduling
Published 2008“…This approach applies a specific structure in order to prepare fault tolerance between executer nodes to retain system in a safe state with minimum data transferring. …”
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16
A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
Published 2023“…Hence, this article introduces an optimal UVLS method using a feedforward artificial neural network (ANN) model trained with the particle swarm optimization (PSO) algorithm to obtain the optimal load shedding amount for a distribution system. …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
Published 2023“…Hence, this article introduces an optimal UVLS method using a feedforward artificial neural network (ANN) model trained with the particle swarm optimization (PSO) algorithm to obtain the optimal load shedding amount for a distribution system. …”
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18
A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
Published 2023“…Hence, this article introduces an optimal UVLS method using a feedforward artificial neural network (ANN) model trained with the particle swarm optimization (PSO) algorithm to obtain the optimal load shedding amount for a distribution system. …”
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19
A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
Published 2023“…Hence, this article introduces an optimal UVLS method using a feedforward artificial neural network (ANN) model trained with the particle swarm optimization (PSO) algorithm to obtain the optimal load shedding amount for a distribution system. …”
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Embedded vision system development using 32-bit Single Board Computer and GNU/Linux
Published 2011“…Processing speed comparison between TS5500 and TS7200 is being made and the result shows that TS7200 executes twice faster than TS5500. …”
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