Paper Info
Title
HSAStore - A Hierarchical Storage Architecture for Computing Systems Containing Large-Scale Intermediate Data.
Abstract
This paper introduces HSAStore, a newly designed storage system whose goal goes to build an efficient storage system for computing systems that containing large-scale intermediate data. HSAStore involves three sub-systems to work together, a distributed file system which is in charge of the intermediate data, a centralized Network Attached Storage (NAS) which stores the raw input data and the results data, and a local file system that serves for the local data. The HSAStore takes full advantage of the network bandwidth of the computing cluster. Moreover, HSAStore adopts the distributed file system, so it is helpful for efficient execution of parallel programs. Experiments show that HSAStore has a significant improvement on efficiency in the computing systems that containing large-scale intermediate data.
Year
DOI
Venue
2017
10.1007/978-3-030-00916-8_54
Lecture Notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering
Keywords
Field
DocType
Hierarchical storage architecture,Bandwidth bottleneck,Large-scale intermediate data,Distributed file system
Distributed File System,Architecture,File system,Network-attached storage,Computer science,Computer data storage,Computer network,Bandwidth (signal processing),Computing systems,Computer cluster,Distributed computing
Conference
Volume
ISSN
Citations 
252
1867-8211
0
PageRank 
References 
Authors
0.34
10
9
Name
Order
Citations
PageRank
Zhoujie Zhang100.34
Limin Xiao210728.51
Shubin Su353.16
Li Ruan412325.10
Bing Wei503.38
Nan Zhou6166.28
Xi Liu700.34
Haitao Wang876.89
Zipeng Wei900.68