Compact, Popularity-Aware and Adaptive Hybrid Data Placement Schemes for Heterogeneous Cloud Storage

Compact, Popularity-Aware and Adaptive Hybrid Data Placement Schemes for Heterogeneous Cloud Storage

Cloud storage systems frequently have a large user base that requires huge cloud resources. Sometimes, cloud devices become overloaded because of an imbalance in input/output (I/O) or space demand. How can data with different popularity be distributed over heterogeneous devices? The key to resolving...

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Bibliographic Details
Main Authors: Yang Gao, Keqiu Li, Yingwei Jin
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Cloud storage
load balance
counting bloom filter
consistent hash
Online Access:https://ieeexplore.ieee.org/document/7856885/

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