Search Results - (( parallel distribution computer algorithm ) OR ( data distribution proposed algorithm ))
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Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…This thesis proposes data-intensive workflow optimization algorithms. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…The first step lies at the modelling of parallel applications running on heterogeneous parallel computers. …”
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Improved genetic algorithm for scheduling divisible data grid application
Published 2007“…Data Grid technology promises geographically distributed scientists to access and share physically distributed resources such as computing resources, networks, storages, and most importantly data collections for large scale data intensive problems. …”
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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Researches on data Cloud Computing become the necessary trend in the distributed Cloud Computing system domain since the sources and application of the data are distributed and the scale of the applications enlarges quickly. …”
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Simulated annealing algorithm for scheduling divisible load in large scale data grids
Published 2008“…In many data grid applications, data can be decomposed into multiple independent sub datasets and distributed for parallel execution and analysis. …”
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Autonomous anomaly detection using density-based features in streaming data / Muhammmad Yunus Iqbal Basheer
Published 2023“…Consequently, to handle these data, computer algorithms must adapt to their characteristics. …”
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Design and analysis of management platform based on financial big data
Published 2023“…In addition, a financial data management platform based on distributed Hadoop architecture is designed, which combines MapReduce framework with the fuzzy clustering algorithm and the local outlier factor (LOF) algorithm, and uses MapReduce to operate in parallel with the two algorithms, thus improving the performance of the algorithm and the accuracy of the algorithm, and helping to improve the operational efficiency of enterprise financial data processing. …”
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MapReduce algorithm for weather dataset
Published 2018“…The algorithm is tested using small and big dataset. The temperature, humidity and visibility attributes from the dataset has been extracted by the MapReduce Algorithm into structure data. …”
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Research Report -
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Managing Fragmented Database Replication for Mygrants Using Binary Vote Assignment on Cloud Quorum
Published 2014“…The result shows that managing replication and transaction through proposed BVACQ able to preserve data consistency. It also increases the degrees of parallelism. …”
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Generic DNA encoding design scheme to solve combinatorial problems
Published 2015“…DNA encoding is the first important step in DNA computing phases. Currently, data encoding in DNA computing is tightly coupled with an algorithm that solves an instance of the problem. …”
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Load-Balancing Models for Scheduling Divisible Load on Large Scale Data Grids
Published 2009“…In many data grid applications, data can be decomposed into multiple independent sub datasets and distributed for parallel execution. …”
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An efficient cache replacement algorithm for minimizing the error rate in L2-STT-MRAM caches
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Proceeding Paper -
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…Most importantly, algorithms that suffer from a limited capability to adapt to the evolving nature of data generated from network traffic are called concept drift. …”
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Parallelizing web scraping to improve performance and scalability
Published 2023“…It employs a message queuing algorithm to divide scraping tasks into smaller units and utilizes multiple worker nodes for concurrent web data extraction. …”
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Final Year Project / Dissertation / Thesis -
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The snapshot of implementation showed that the proposed framework works successfully with replicating data in different operating systems. …”
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Random sampling method of large-scale graph data classification
Published 2024“…After that, we randomly select a subset of data blocks, each being a random sample of the graph dataset, and compute the different graph property distributions. …”
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3d Morphing And Shape Transformation Using Slices
Published 2009“…Most of the existing shape transformation algorithms involve a lot of user intervention, do not scale well when the number of input objects is more than two and are not scalable in parallel and distributed computing environment whenever needed. …”
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Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…To implement the parallel algorithms a distributed parallel computing laboratory using easily available low cost computers is setup. …”
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