DocumentCode :
615236
Title :
Towards the Scheduling of Access Requests in Cloud Storage
Author :
Xian Wu ; Peide Qian
Author_Institution :
Sch. of Comput. Sci. & Technol., Suzhou Univ., Suzhou, China
fYear :
2013
fDate :
26-28 April 2013
Firstpage :
37
Lastpage :
41
Abstract :
In recent years, cloud computing has emerged as an enabling technology, in which virtual machine migration and dynamic resource allocation is one of the hot issues. During the migration of virtual machine, access requests from end users coming constantly. So how to schedule these requests to ensure the performance of cloud storage system is the key issue. In this paper, we focus on scheduling access requests to provide end users desirable data when virtual data nodes are migrating. In this process, we interested in the following performance in the system: the availability of data, energy consumption and cost. The contributions of this paper are: (1) analyze the open issues of scheduling in cloud storage; (2) present the environment of scheduling access requests in cloud storage and discuss metrics which affect the scheduler; (3) define the formal concepts about this problem and give the main steps of scheduling algorithm. The main innovation of this paper is fully taken into account data node´s mobility in cloud storage. So we could establish the connection between resource availability and system availability. The results of this paper can be used in scheduling and resource management in cloud storage system to provide the mass storage of streaming media in cloud and its continuous access.
Keywords :
authorisation; cloud computing; processor scheduling; storage allocation; virtual machines; access request scheduling; cloud computing; cloud storage system performance; cost criteria; data availability criteria; data node mobility; dynamic resource allocation; energy consumption criteria; formal concepts; resource availability; resource management; streaming media mass storage; system availability; virtual data node migration; virtual machine migration; Computational modeling; Handheld computers; Measurement; Quality of service; Random access memory; Resource management; Cloud Storage; Data Block; Migration; Request; Scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-4464-7
Type :
conf
DOI :
10.1109/ICCSE.2013.6553879
Filename :
6553879
Link To Document :
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