Optimal data placement strategy considering capacity limitation and load balancing in geographically distributed cloud-Reference-Cited by-同舟云学术

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Optimal data placement strategy considering capacity limitation and load balancing in geographically distributed cloud

Published:2022-02 Issue: Volume:127 Page:142-159
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Li Chunlin,Cai Qianqian,Lou Youlong

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference37 articles.

1. Orchestrating bulk data transfers across geo-distributed datacenters;Wu;IEEE Trans. Cloud Comput.,2017

2. Brokering in interconnected cloud computing environments: A survey;Chauhan;J. Parallel Distrib. Comput.,2019

3. Cost-effective social network data placement and replication using graph-partitioning;Khalajzadeh,2017

4. Location-aware associated data placement for geo-distributed data-intensive applications;Yu,2015

5. Location-aware data placement for geo-distributed online social networks;Zhou,2017

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1. Towards a novel service broker policy for choosing the appropriate data center in cloud environments;Computer Communications;2024-12

2. Multi-objective optimization-based workflow scheduling for applications with data locality and deadline constraints in geo-distributed clouds;Future Generation Computer Systems;2024-08

3. Optimizing energy‐efficient data replication for IoT applications in fog computing;International Journal of Communication Systems;2024-07-11

4. Rigorous Specification of Vector Timestamp Based Load Sharing Mechanism for Distributed Systems;Journal of Scientific & Industrial Research;2024-07

5. Enhancing resource utilization and privacy in IoT data placement through fuzzy logic and PSO optimization;Cluster Computing;2024-06-15

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