DocumentCode :
2798692
Title :
DORA: A Dynamic File Assignment Strategy with Replication
Author :
Tjioe, Jonathan ; Widjaja, Renata ; Lee, Abraham ; Xie, Tao
Author_Institution :
Comput. Sci. Dept., San Diego State Univ., San Diego, CA, USA
fYear :
2009
fDate :
22-25 Sept. 2009
Firstpage :
148
Lastpage :
155
Abstract :
Compared with numerous static file assignment algorithms proposed in the literature, very few investigations on the dynamic file allocation problem have been accomplished. Moreover, none of them has integrated file replication techniques into file assignment algorithms in a highly dynamic file system where files are created or deleted on the fly and their access patterns varied over time. We argue that file replication and file assignment can act in concert to boost the performance of parallel disk systems. In this paper, we propose a new dynamic file assignment strategy called DORA (dynamic round robin with replication). The advantages of DORA can be attributed to its two main characteristics. First, it takes the dynamic nature of file access patterns into account to adapt to a changing workload condition. Second, it utilizes file replication techniques to complement file assignment schemes so that system performance can be further improved. Experimental results demonstrate that DORA performs consistently better than existing algorithms.
Keywords :
replicated databases; storage allocation; DORA; dynamic file allocation problem; dynamic file assignment strategy; dynamic round robin with replication; file access patterns; integrated file replication techniques; parallel disk systems; static file assignment algorithms; Computer science; Cost function; Delay; File systems; Heuristic algorithms; Measurement; Parallel processing; Quality of service; Round robin; System performance; dynamic; file assignment problem; heat; replication; round robin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing, 2009. ICPP '09. International Conference on
Conference_Location :
Vienna
ISSN :
0190-3918
Print_ISBN :
978-1-4244-4961-3
Electronic_ISBN :
0190-3918
Type :
conf
DOI :
10.1109/ICPP.2009.8
Filename :
5362264
Link To Document :
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