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Efficient Data Prefetching Approach for PC-Cluster based Cloud Storage
http://hdl.handle.net/20.500.12678/0000002928
http://hdl.handle.net/20.500.12678/000000292884f16099-6aa2-4345-ad6a-9b92e5ef0ec0
d938bd3c-3a57-4e74-98b1-7d9cb40bd112
Name / File | License | Actions |
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Publication type | ||||||
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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. |
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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 |