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  1. University of Information Technology
  2. Faculty of Computer Science

Efficient Data Prefetching Approach for PC-Cluster based Cloud Storage

http://hdl.handle.net/20.500.12678/0000002928
http://hdl.handle.net/20.500.12678/0000002928
84f16099-6aa2-4345-ad6a-9b92e5ef0ec0
d938bd3c-3a57-4e74-98b1-7d9cb40bd112
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Efficient Efficient Data Prefetching Approach for PC-Cluster based Cloud Storage System.pdf (369 Kb)
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Publication type
Conference paper
Upload type
Publication
Title
Title Efficient Data Prefetching Approach for PC-Cluster based Cloud Storage
Language en
Publication date 2013-02-27
Authors
Tin Tin Yee
Thinn Thu Naing
Description
Cloud storage system architecture and design plays
a vital role in the cloud computing infrastructure in
order to improve the storage capacity as well as cost
effectiveness. To address this need, the cost effective PC
cluster based storage server is configured to be
activated for large amount of data to provide cloud
users and is implemented with Hadoop Distributed File
System (HDFS). HDFS is open source distributed file
system that designed on low cost hardware. In this
system, high access latency occurs due to the access
mechanism of HDFS. Data prefetching is an effective
technique for improving file access performance which
can reduce response time delay for I/O system. In order
to solve this issue, we propose data perfetching
algorithm based on FP-growth algorithm to extract user
access patterns from user’s historical accesses records
for reducing the communications between clients and
NameNode. According to user’s access frequent
patterns, frequently access data are stored in client
cache.
Keywords
Cloud Computing, Cloud storage, Data Prefetching
Conference papers
ICCA 2013
26-27 February, 2013
11th International Conference on Computer Applications
Sedona Hotel, Yangon, Myanmar
https://www.ucsy.edu.mm/EleventhIccaN.do
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