Search Results - (( dynamic replication based algorithm ) OR ( java simulation optimization algorithm ))
Search alternatives:
-
1
Online Dynamic Replication and Placement Algorithms for Cost Optimization of Online Social Networks in Two-tier Multi-cloud
Published 2024journal::journal article -
2
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. …”
Get full text
Get full text
Get full text
Article -
3
Dynamic replication algorithm in data grid: Survey
Published 2008“…A dynamic replication model based on mathematical concepts is proposed. …”
Get full text
Get full text
Get full text
Book Section -
4
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. …”
Get full text
Get full text
Article -
5
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. …”
Get full text
Get full text
Get full text
Thesis -
6
Efficient Multi-Cloud Storage Using Online Dynamic Replication and Placement Algorithms for Online Social Networks
Published 2024journal::journal article -
7
-
8
Dynamic replica replacement strategy in data grid
Published 2012“…The performance evaluation of LVR and other replication algorithms are carried out by simulation. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
Get full text
Get full text
Article -
10
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
Get full text
Get full text
Get full text
Thesis -
11
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
Get full text
Get full text
Get full text
Monograph -
12
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. …”
Get full text
Get full text
Thesis -
13
Optimization of mobile robot path planning in semi-dynamic environment using genetic algorithm
Published 2023“…The environment design is based on a 2-D coordinated graph with irregular shapes as the semi-dynamic obstacle and by restructuring the genes to plan a robot path. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
14
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
Review -
15
An enhanced ant colony system algorithm for dynamic fault tolerance in grid computing
Published 2020“…The proposed algorithm consists of dynamic evaporation rate, resource fitness-based scheduling process, enhanced pheromone update with trust factor and suspension, and checkpoint-based task reprocessing. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
16
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
Get full text
Get full text
Thesis -
17
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
Get full text
Get full text
Thesis -
18
A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework
Published 2023Conference Paper -
19
Re-engineering grid-based quorum replication into binary vote assignment on cloud: A scalable approach for strong consistency in cloud databases
Published 2025“…Existing systems such as DynamoDB, FoundationDB, and GeoGauss illustrate different design tradeoffs but face limitations in balancing latency, correctness, and resilience under dynamic workloads. This study proposes the Binary Vote Assignment in Cloud (BVAC), a cloud-native replication algorithm re-engineered from the Binary Vote Assignment on Grid Quorum (BVAGQ). …”
Get full text
Get full text
Get full text
Article -
20
Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
Get full text
Get full text
Get full text
Get full text
Monograph
