International Journal of Intelligence Science

International Journal of Intelligence Science

ISSN Print: 2163-0283
ISSN Online: 2163-0356
www.scirp.org/journal/ijis
E-mail: ijis@scirp.org
"A Data-Placement Strategy Based on Genetic Algorithm in Cloud Computing"
written by Qiang Xu, Zhengquan Xu, Tao Wang,
published by International Journal of Intelligence Science, Vol.5 No.3, 2015
has been cited by the following article(s):
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[1] Dynamic data replication and placement strategy in geographically distributed data centers
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[2] Comparative Analysis of Different Data Replication Strategies in Cloud Environment
International Journal of Image and …, 2022
[3] Interval type-2 fuzzy c-means data placement optimization in scientific cloud workflow applications
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[4] Popularity-based Data Placement with Load Balancing in Edge Computing
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[5] A Swarm Intelligence-based Approach for Dynamic Data Replication in a Cloud Environment
International Journal of Intelligent Engineering and Systems, 2021
[6] A novel data placement strategy to reduce data traffic during run-time
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[7] A Novel Intelligent Approach for Dynamic Data Replication in Cloud Environment
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[8] A review of data replication based on meta-heuristics approach in cloud computing and data grid
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[9] A Big Data Placement Strategy in Geographically Distributed Datacenters
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[10] A cooperative agents-based workflow-level distributed data placement strategy for scientific cloud workflows
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[11] Optimized Scheduling Approach for Scientific Applications Based on Clustering in Cloud Computing Environment
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[12] FCA-based Energy Aware-data Placement Strategy for Intensive Workflow in Cloud Computing.
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[13] E-DPSIW-FCA: Energy aware FCA-based Data Placement Strategy for Intensive Workflow
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[14] ACO-DPDGW: an ant colony optimization algorithm for data placement of data-intensive geospatial workflow
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[15] Neuroevolution for bearing diagnosis
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[16] A survey on data storage and placement methodologies for Cloud-Big Data ecosystem
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[17] Efficient task allocation approach using genetic algorithm for cloud environment
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[18] Data Placement Cost Optimization and Load Balancing for Online Social Networks
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[19] Cooperative Agents Based Data Placement Approach for Data Intensive Workflows
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[20] Equilibrage de charge (données) dans le Cloud computing.
2018
[21] An adaptive data placement strategy in scientific workflows over cloud computing environments
2018
[22] Towards Dynamic and Optimal Big Data Placement
2018
[23] Dynamic cost-effective social network data placement and replication in the cloud
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[24] 과학 워크플로우의 데이터 이동과 실험 환경 변화를 고려한 데이터 재배치
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[25] 과학 워크플로우를 위한 자원 가용 변화에 따른 데이터 재배치
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[26] Cost-Effective Social Network Data Placement and Replication using Graph-Partitioning
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[27] 데이터 집약적인 과학 응용을 위한 적응형 데이터배치 기법
??????? ???????, 2017
[28] Hybrid BA-GA Approach for Cost-Effective SaaS Placement In Cloud Environment
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[29] Data placement strategy for massive data applications based on FCA approach
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[30] Improving Cloud-based Online Social Network Data Placement and Replication
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[31] A New Placement Optimization Approach in Hybrid Cloud Based on Genetic Algorithm
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[32] Bio-inspired algorithms for cloud computing: a review
International Journal of Innovative Computing and Applications, 2015
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