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QoS‐aware indiscriminate volume storage cloud
Author(s) -
Yang Bowei,
Song Guanghua,
Chen Yining,
Zheng Yao,
Wu Yue
Publication year - 2016
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3852
Subject(s) - computer science , quality of service , cloud storage , workload , cloud computing , computer network , file system , database , redundancy (engineering) , information repository , operating system , data redundancy , distributed data store , computer data storage , distributed computing
Summary Storage quality‐of‐service (QoS) is a key issue for a storage cloud infrastructure. This paper presents QoSC, a Qo S‐aware indiscriminate volume S torage C loud over the dynamic network, based on the Hadoop distributed file system. QoSC employs a data redundancy policy based on indiscriminate recovery volumes and a QoS‐aware data placement strategy. We consider the QoS of a storage node as a combination of the transfer bandwidth, the availability of service, the workload (CPU utilization), the free storage space, and the failure rate of DataNodes. We have deployed QoSC on the campus network of Zhejiang University and have conducted a group of experiments and simulations on file storage and retrieval. The results show that QoSC improves the performance of file storage and retrieval and balances the workload among DataNodes, by being aware of QoS of DataNodes. Copyright © 2016 John Wiley & Sons, Ltd.