DocumentCode :
249457
Title :
Resource Provisioning with QoS in Cloud Storage
Author :
Wei-Chih Huang ; Chuan-Ming Liu ; Chuan-Chi Lai
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
fYear :
2014
fDate :
June 27 2014-July 2 2014
Firstpage :
616
Lastpage :
620
Abstract :
With the rapid development of cloud computing, cloud services and human life has been closely together. In recent years, cloud services are widely used by everyone. With network technology advanced, network accessing for data transmission become more and more important and using the applications through cloud computing has become a new trend. Before embracing cloud computing, there are some issues on allocating the resources of cloud computing needed to be solved since the resources which used by cloud computing system are very limited. Therefore, the resource allocations in the cloud computing should provide dynamic resource provisioning, allow users to access the resources efficiently and guarantee quality of service (QoS). In this paper, we use Gluster file system (GlusterFS) to dynamically allocate storages and build a cloud storage service integration platform. In experiments, the results show that our proposed method is superior to the traditional types of distributed storages that consider a single document file allocation. We try to adjust GlusterFS storage method, consider the configuration of disk capacity and different ways of saving files, thus allocating resource more effectively and increase the performance of the cloud storage system.
Keywords :
cloud computing; file organisation; quality of service; resource allocation; Gluster file system; GlusterFS storage method; QoS; cloud computing system; cloud storage service integration platform; disk capacity configuration; distributed storages; document file allocation; quality of service; resource provisioning; Cloud computing; Conferences; Distributed databases; File systems; Quality of service; Resource management; Writing; Cloud computing; Cloud storage; GlusterFS; Quality of service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data (BigData Congress), 2014 IEEE International Congress on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5056-0
Type :
conf
DOI :
10.1109/BigData.Congress.2014.94
Filename :
6906836
Link To Document :
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