Next Article in Journal
A Community Network Ontology for Participatory Collaboration Mapping: Towards Collective Impact
Previous Article in Journal
Effective Intrusion Detection System Using XGBoost
Article

Rack Aware Data Placement for Network Consumption in Erasure-Coded Clustered Storage Systems

School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China
*
Author to whom correspondence should be addressed.
Information 2018, 9(7), 150; https://doi.org/10.3390/info9070150
Received: 30 April 2018 / Revised: 15 June 2018 / Accepted: 16 June 2018 / Published: 21 June 2018
(This article belongs to the Section Information and Communications Technology)
The amount of encoded data replication in an erasure-coded clustered storage system has a great impact on the bandwidth consumption and network latency, mostly during data reconstruction. Aimed at the reasons that lead to the excess data transmission between racks, a rack aware data block placement method is proposed. In order to ensure rack-level fault tolerance and reduce the frequency and amount of the cross-rack data transmission during data reconstruction, the method deploys partial data block concentration to store the data blocks of a file in fewer racks. Theoretical analysis and simulation results show that our proposed strategy greatly reduces the frequency and data volume of the cross-rack transmission during data reconstruction. At the same time, it has better performance than the typical random distribution method in terms of network usage and data reconstruction efficiency. View Full-Text
Keywords: data placement; rack aware; erasure codes; network consumption; clustered storage systems data placement; rack aware; erasure codes; network consumption; clustered storage systems
Show Figures

Figure 1

MDPI and ACS Style

Shao, B.; Song, D.; Bian, G.; Zhao, Y. Rack Aware Data Placement for Network Consumption in Erasure-Coded Clustered Storage Systems. Information 2018, 9, 150. https://doi.org/10.3390/info9070150

AMA Style

Shao B, Song D, Bian G, Zhao Y. Rack Aware Data Placement for Network Consumption in Erasure-Coded Clustered Storage Systems. Information. 2018; 9(7):150. https://doi.org/10.3390/info9070150

Chicago/Turabian Style

Shao, Bilin, Dan Song, Genqing Bian, and Yu Zhao. 2018. "Rack Aware Data Placement for Network Consumption in Erasure-Coded Clustered Storage Systems" Information 9, no. 7: 150. https://doi.org/10.3390/info9070150

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop