Search Results - (( data replication techniques algorithm ) OR ( parallel optimization method algorithm ))
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1
Voting algorithms for large scale fault-tolerant systems
Published 2011“…To solve this problem and gain benefits of this algorithm, we employed parallel algorithm technique and by using optimal number of processors, we could propose optimal algorithms known as Parallel Average Voting and Parallel Weighted Average Voting which both have optimal time complexity and less calculation cost. …”
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2
Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…Any optimization algorithm is suitable for only a specific domain of optimization problems. …”
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3
Probabilistic ensemble fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms
Published 2015“…This was achieved by mitigating convergence in the genetic algorithms by employing a hierarchical parallel architecture. …”
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4
Binary vote assignment on grid quorum replication technique with association rule
Published 2018“…The main feature of BV AGQ-AR is that the technique integrates replication and data mining technique allowing meaningful extraction of knowledge from large data sets. …”
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5
Investigation on the dynamic of computation of semi autonomous evolutionary computation for syntactic optimization of a set of programming codes
Published 2007“…Genetic Algorithm as one of the Evolutionary Computation method improve the execution of parallel programming codes by optimizing the number of processors and the distribution of data. …”
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6
Improved black-winged kite algorithm and finite element analysis for robot parallel gripper design
Published 2024“…This paper presents a comprehensive study on the design optimization of a robotic gripper, focusing on both the gripper modeling and the optimization of its parallel mechanism structure. …”
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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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Enhanced replication strategy with balanced quorum technique and data center selection method in cloud environment
Published 2022“…Besides, there are also issues that arise during data placement techniques consuming extensive space and high replication time due to replica copies located in every storage node in the same cluster environment to achieve high data availability. …”
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9
Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…For many reasons, businesses or specially enterprise business or industrial business use replication. Therefore, replication is a useful technique for distributed systems. …”
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10
Fault Tolerence on Binary Vote Assignment Cloud Quorum (BVACQ) Replication Technique
Published 2013“…This technique combines the replication and fault tolerant mechanism. …”
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11
Efficient access of replicated data in distributed database systems
Published 2001“…The system combines the replication and transaction techniques and embeds these techniques into the TDGS-RP system. …”
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12
A dynamic replication aware load balanced scheduling for data grids in distributed environments of internet of things
Published 2018“…Moreover, it becomes even more challenging in the highly dynamic and distributed environment of the Internet of Things (IoT). Replication is considered a key optimization technique in data grids. …”
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Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems
Published 2018“…Additionally, the MTS algorithm is also implemented in parallel computing to produce parallel MTS for generating comparable solutions in shorter computational times. …”
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Fault Tolerance On Binary Vote Assignment Cloud Quorum (BVACQ) Replication Technique
Published 2013“…This technique combines the replication and fault tolerant mechanism. …”
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15
Analysis of evolutionary computing performance via mapreduce parallel processing architecture / Ahmad Firdaus Ahmad Fadzil
Published 2014“…Examples of EC such as Genetic Algorithm (GA) and PSO (Particle Swarm Optimization) are prevalent due to their efficiency and effectiveness. …”
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Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks
Published 2022“…Next, the method is integrated with two optimization algorithms: (1) backpropagation (BP), which optimizes deep learning locally within each local chunk of the CN; (2) particle swarm optimization (PSO), which is used to improve the BP optimization involving all CN chunks. …”
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A bibliometric analysis: AI-driven data placement optimization in cloud replication environments
Published 2024“…Several studies have examined this area, aiming to enhance data replication techniques by integrating AI algorithms. …”
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Vigorous replication strategy with balanced quorum for minimizing the storage consumption and response time in cloud environments
Published 2021“…Essentially, cloud replication must be able to secure huge data by enabling comprehensive replication strategies, optimal data availability, fast data retrieval, and cost-effective data management and maintenance. …”
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PID Parameters Improvement for AGC in Three Parallel-Connected Power Systems
Published 2016“…The AGC loop is used to minimize the frequency deviation and control the power exchange in order to maintain them at their scheduled values due to the changes of the step-load disturbance. The optimal parameters of the PID scheme optimized by the proposed MS algorithm are compared with that one’s obtained by GA algorithm, and the proposed method has proven that its performance is more efficient and improved as well. …”
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Design and analysis of high performance matrix filling for DNA sequence alignment accelerator using asic design flow: article / Nurzaima Mahmod
“…The scope of this paper is to optimize the DNA sequences alignment on the matrix rilling module by implementing a parallel method of the Smith-Waterman algorithm. …”
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