Abstract
In a college or university, data is an important resource for guiding instruction and improving student learning. A backup and recovery strategy is necessary to protect the critical data against data loss incidents. Based on Swift cloud storage, this thesis explores how to design and implement a backup and disaster recovery system for vSphere data center being deployed in College where the author works. The Swift, which is suitable for storing large unstructured data, provides a flexible, scalable and highly available distributed object storage service. By integrating Swift cloud storage with VMware vSphere, this thesis presents an efficient solution to design a backup and disaster recovery system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yang, X., Peng, Y.M., Xing, C.J., Li, R.M.: The backup system of VMware vSphere 5 virtual machine. J. East China Normal Univ. (Nat. Sci. Ed.) 61(S1), 252–256 (2015)
Wu, L.L.: Design and application of cloud computing data center based on double living capacity storage technology. Electron. Des. Eng. 22(06), 190–192 (2015)
Xia, Z.X.: Research and implementation of OpenStack cloud storage technology. Master’s thesis, Institutes of Technology of South China (2016)
Li, Z.J., Li, H.J., Wang, X.C., Li, K.Q.: A generic cloud platform for engineering optimization based on OpenStack. Adv. Eng. Soft. 75(6), 42–57 (2014)
Zheng, C., Zhao, J.J., Li, C.J., Lou, T., Tang, X.: Experiment and research of object storage performance based on OpenStack. Microcomput. Appl. 33(18), 13–16 (2014)
Zhou, Y.P.: Cloud storage product optimization based on swift and cloud virtual machine scheduling algorithm research. Master thesis, East China University of Science and Technology (2014)
Zhen, H., Wang, H.P., Chen, Y., Fu, D.L., Liu, Y.M.: Workload balancing and adaptive resource management for the swift storage system on cloud. Future Gener. Comput. Syst. 51(1), 120–131 (2015)
Bian, N.Z., Yuan, H.: The load balancing algorithm based on I/O in the swift cloud storage environment. Comput. Eng. Appl. 52(2), 70–80 (2016)
Jiang, Y., Sun, X.T., Yang, C.: Swift cloud storage environment base on I/O load balanced reading strategies. Comput. Eng. Des. 34(9), 3024–3027, 3032 (2013)
Shan, X.Y.: Research on resource load balancing strategy based on swift. Master thesis, Harbin Institute of Technology (2015)
Fu, S.P.: Design and implementation of education resource sharing platform based on swift. Master’s thesis, Xi ‘an University of Electronic Science and Technology (2014)
Huo, J.Y., Qu, H., Wu, L.: Design and implementation of private cloud storage platform based on OpenStack. In: IEEE International Conference, pp. 1098–1101. SmartCity (2015)
Corradi, A., Fanelli, M., Foschini, L.: VM consolidation: a real case based on OpenStack cloud. Future Gener. Comput. Syst. 32(1), 118–127 (2014)
Lai, Z.Q.: Design and implementation of a VMDK application virtualization system. Jiangxi Normal University of Science and Technology (2012)
Cai, S.X.: A backup system design and implementation based on repetitive data deletion. Beijing University of Posts and Telecommunications (2010)
Huang, C.B., Hu, X.Q., Ma, X.X., Wang, J.: Design and implementation of winnowing based deduplication data backup and recovery system. J. SiChuan Univ. (Nat. Sci. Ed.) 57(03), 535–542 (2012)
Shi, J.J.: The design and implementation of a de-duplication file system based on cloud storage. HuaZhong University of Science and Technology (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Guo, Y., Wei, L., Lu, J. (2018). The Design and Implementation of a Backup and Disaster Recovery System for vSphere Data Center Based on Swift Cloud Storage. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11064. Springer, Cham. https://doi.org/10.1007/978-3-030-00009-7_23
Download citation
DOI: https://doi.org/10.1007/978-3-030-00009-7_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00008-0
Online ISBN: 978-3-030-00009-7
eBook Packages: Computer ScienceComputer Science (R0)