Browse > Article
http://dx.doi.org/10.9708/jksci.2012.17.5.001

Performance Evaluation of WAN Storage Migration Scheme for Cloud Computing Environment  

Chang, Jun-Hyub (Dept. of Computer Science & Engineering, Hanyang University)
Lee, Won-Joo (Dept. of Computer Science, Inha Technical College)
Jeon, Chang-Ho (Dept. of Computer Science & Engineering, Hanyang University ERICA Campus)
Abstract
In this paper, we design and implement the simulator for WAN storage replication model performance evaluation in cloud computing environment. Each cloud of simulator is composed of virtual machine emulator and storage emulator. The virtual machine emulator is composed of read/write ratio module, the read/write sequence combination module, and the read/write request module. The storage emulator is composed of storage management module, data transfer module, read/write operations module, and overhead processing module. Using the simulator, we evaluate performance of migration scheme, pre-copy and the post-copy, considering about read/write ratio, network delay, and network bandwidth. Through simulation, we have confirmed that the average migration time of pre-copy was decreased proportional to the read operation. However, average migration time of post-copy was on the increase. Also, the average migration time of post-copy was increased proportional to the network delay. However, average migration time of pre-copy was shown uniformly. Therefore, we show that pre-copy model more effective to reduce the average migration time than the post-copy model. The average migration time of pre-copy and post-copy were not affected by the change of network bandwidth. Therefore, these results show that selects the storage replication model to be, the network bandwidth know not being the important element.
Keywords
Cloud Computing; Storage Migration; Pre-copy; Post-copy;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 T. Hirofuchi, H. Nakada, H. Ogawa, S. Itoh, and S. Sekiguchi, "A live storage migration mechanism over wan for relocatable virtual machine services on clouds," In Proc. of the International Workshop on Cloud Computing(Cloud 2009), May 2009.
2 F. Ma, F. Liu, Z. Liu, "Live virtual machine migration based on improved pre-copy approach," IEEE International Conference on Software Engineering and Service Sciences(ICSESS), pp. 230-233, July 2010.
3 http://www-iepm.slac.stanford.edu
4 Microsoft Azure, http://www.microsoft.com/windowsazure/Whitepapers/introducingwindowsazureplatform
5 KT ucloud, http://home.ucloud.olleh.com/guide/guide.kt
6 Tae Hoon Keum, Won Joo Lee, Chang Ho Jeon, "A Performance Analysis Based on Hadoop Application's Characteristics in Cloud Computing," Journal of The Korea Society of Computer and Information, Vol. 15, No. 5, pp. 49-56, May 2010.   DOI
7 SNIA, "Cloud Storage Reference Model," Trial Use Draft, June 2009.
8 NHN nDrive, http://ndrive.naver.com/index.nhn
9 J. Zheng, T. Sing Eugene Ng, K. Sripanidkulchai, "Workload-aware live storage migration for clouds," In Proc. of ACM international conference on Virtual execution environments(VEE'11), Vol. 46, Issue. 7, pp. 133-144, July 2011.
10 C. Clark, K. Fraser, S. Hand, J. Gorm Hansen, E. Jul, C. Limpach, I. Pratt, A. Warfield, "Live migration of virtual machines," In Proc. of ACM conference on Symposium on Networked Systems Design & Implementation(NSDI'05), Vol. 2, 2005.
11 Google App Engine, http://code.google.com/intl/ko-KR/appengine/docs/whatisgoogleappengine.html
12 Amazon Elastic Compute Cloud, http://aws.amazon.com/what-is-aws