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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3759))

Abstract

Logical Volume Managers (LVM) have been a key component of storage systems. They can support volume online resizing and reconfiguration, snapshots, and various software RAID levels. But most logical volume managers are only suitable for single system environments. They are not adequate for Storage Area Network (SAN) environment where cluster hosts share same storage resources. In this paper, we present a cluster LVM (cLVM) for SAN environments, and explain the design and architecture of the cLVM in detail. The cLVM’s key techniques include its management mechanism, device mapping method, metadata synchronization between cluster hosts and fault tolerance. The management mechanism controls all the cLVM operations and all of the storage resources. It provides a uniform view of the cLVM to users and includes a user-friendly interface. The fault tolerance is designed to deal with disk failures and to manage mode or cluster node shutdowns. One agent is set as the management node for synchronizing the metadata in the kernel space between the different nodes in the cLVM. Through the metadata synchronization and the device mapping method, the cLVM provides the file systems with a uniform virtualized view of the storage devices and supports cluster host environments. It achieves online resizing, movement of data between partitions and snapshots. We implemted and tested the cLVM. The result shows that it is also compatible with ordinary common single file systems or GFS. It has comparatively better fault tolerance than the LVM currently in use. The new cLVM system supports the computing needs of large enterprises and provides high scalability and high availability in the SAN environment.

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© 2005 Springer-Verlag Berlin Heidelberg

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Li, B., Shu, J., Mu, F., Zheng, W. (2005). A Cluster LVM for SAN Environments. In: Chen, G., Pan, Y., Guo, M., Lu, J. (eds) Parallel and Distributed Processing and Applications - ISPA 2005 Workshops. ISPA 2005. Lecture Notes in Computer Science, vol 3759. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11576259_17

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  • DOI: https://doi.org/10.1007/11576259_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29770-3

  • Online ISBN: 978-3-540-32115-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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