Search Results - (( java application optimized algorithm ) OR ( dynamic replication _ algorithm ))
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Using Economic Model To Improve The Performance Of BHR Dynamic Replication Algorithm.
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A dynamic replication aware load balanced scheduling for data grids in distributed environments of internet of things
Published 2018“…We propose a novel dynamic Replication Aware Load Balanced Scheduling (DRALBS) algorithm, that considers the replica location dynamically at the time of scheduling of the job. …”
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3
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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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 first algorithm is Dynamic Fixed Time (DFT) which uses fixed time periods to adapt replication and placement. …”
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Dynamic replication aware load blanced scheduling in distributed environment / Said Bakhshad
Published 2018“…In this case, if jobs are not scheduled properly at particular points, the processing resources will be squandered. We propose a novel dynamic Replication Aware Load Balanced Scheduling (DRALBS) algorithm, that considers the replica location dynamically at the time of the scheduling of the job. …”
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7
Efficient Multi-Cloud Storage Using Online Dynamic Replication and Placement Algorithms for Online Social Networks
Published 2024Subjects: “…Dynamic replication…”
journal::journal article -
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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9
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Dynamic replica replacement strategy in data grid
Published 2012“…The performance evaluation of LVR and other replication algorithms are carried out by simulation. …”
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12
Ancestral dynamic voting algorithm for mutual exclusion in partitioned distributed systems
Published 2013“…In this study, a new dynamic algorithm is presented as a solution for mutual exclusion in partitioned distributed systems. …”
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13
Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
14
An adaptive data replication and placement for efficient data storage of online social networks using two-tier multi-cloud environment
Published 2022“…The first algorithm is Dynamic Fixed Time (DFT) which uses fixed time periods for the adaptation of replication and placement. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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17
Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
18
A cluster-based hybrid replica control protocol for high availability in data grid
Published 2019“…This research has contributed a dynamic cluster-based hybrid replica control protocol which proposed a clustering algorithm to determine the number of clusters, a mechanism for dynamic participation of nodes in the network, and a replica placement algorithm that produces low communication cost and high data availability as compared to DH and DDG protocols. …”
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Enhanced replication strategy with balanced quorum technique and data center selection method in cloud environment
Published 2022“…Secondly, this research proposed a dynamic Balanced Quorum (BQ) technique for replica placement to reduce storage consumption without disregarding a faster replication time and preserve data availability. …”
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