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RELIABILITY ANALYSIS OF ZFS CS 736 Project University of Wisconsin - Madison.

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Presentation on theme: "RELIABILITY ANALYSIS OF ZFS CS 736 Project University of Wisconsin - Madison."— Presentation transcript:

1 RELIABILITY ANALYSIS OF ZFS CS 736 Project University of Wisconsin - Madison

2 Reliability Analysis of ZFS University of Wisconsin - Madison  To perform reliability analysis of ZFS  Test existing reliability claims  Layered driver interface – simulating transient block corruptions at various levels in ZFS on-disk hierarchy.  Results  Classes of fault handled by ZFS.  Measure of the robustness of ZFS.  Lessons on building a reliable, robust file system. Summary

3 Coming Up University of Wisconsin - Madison  ZFS Organization  ZFS On Disk format  ZFS features and specs regarding reliability.  Experimental Setup and Experiments  Results and Conclusions  Future Work Outline of the talk

4 ZFS Organization University of Wisconsin - Madison Pooled Storage Model -Pooled Storage Model - Disk is a ZFS pool comprising of many file systems. ZFS Pool ZFS

5 ZFS Organization University of Wisconsin - Madison  Transactional based object file system  Every structure is an object.  Operation on object(s) is a transaction.  Grouping of transaction as transaction group.  All data and metadata blocks are checksummed.  No silent corruptions.  Modifications are always Copy on Write  Always on-disk consistent.  All metadata and data(optional) is compressed. Object based

6 ZFS Structures University of Wisconsin - Madison  Entire file system is represented as  Objects - dnode_phys_t  Object Sets - dnode_phys_t [ ]  P/L analogy – each object is a template. The bonus buffer describes specific attributes.

7 ZFS Structures University of Wisconsin - Madison  Data transferred to disks in terms of blocks.  Block pointers (blkptr_t) used to locate, verify and describe blocks.  Contains checksum and compression information.  Physical size of block <> Logical Size of block  Gang blocks Blocks and block pointers

8 ZFS Structures University of Wisconsin - Madison  Data Virtual Address – combination of fields in blkptr_t to locate block on disk.  Wideness – blkptr_t can store upto three copies of the data pointed by a unique DVA. These blocks are called as “ditto blocks”.  Three for pool wide metadata  Two for file system wide metadata  One for data (configurable) Block pointers offset1 asize vdev1 asize vdev2 offset2 asize vdev3 offset3 Lvl typ cksum comp psize lsize

9 ZFS Structures University of Wisconsin - Madison Wideness

10 ZFS Structures University of Wisconsin - Madison  ZAP (ZFS Attribute Processor)  ZAP objects used to handle arbitrary (name, object) associations within an object set (objset)  Most commonly used to implement directories  Also used extensively throughout the DSL Attributes on disk

11 Putting it all together University of Wisconsin - Madison Everything in ZFS is an object. A dnode describes and organizes a collection of blocks making up an object. Objects

12 Putting it all together University of Wisconsin - Madison Group related objects to form objsets. Filesystems, volumes, clones and snapshots are objsets. Objects Object set Object Sets

13 Putting it all together University of Wisconsin - Madison Objects Object set Snapshot Information DataSet Encapsulates objset and provides Space usage Snapshot Information Space map DataSets

14 Putting it all together University of Wisconsin - Madison Objects Object set Snapshot Information DataSet Child Map Properties DataSet Directory Groups Datasets Properties such as quotas, compression Dataset Relationships Space map Dataset directories

15 A road less travelled University of Wisconsin - Madison From vdev label to data

16 To sum up University of Wisconsin - Madison  Layers of indirection  End to end Checksums which are separated from data.  Wideness (Ditto Blocks) (3 – 2 – 1)  Compression  Copy on Write  Scrub facility Moving forward

17 Experimental Setup  Corruption Framework  Corrupter Driver Modify physical disk blocks  Analyzer App Understand on-disk ZFS structures  Consumer App Monitor ZFS responses, error codes University of Wisconsin - Madison

18 Experimental Setup - Simplification  Setup on Solaris 10 VM  Only one physical vdev (disk)  No striping, mirror, raid…  Initial target – Pointer Corruption  Reduced Sample Space  Interesting Cases  Disable compression as much as possible University of Wisconsin - Madison

19 Initial Finding  All metadata compressed  Cannot disable metadata compression  Pointer Corruption not feasible  Perform corruptions on compressed objects  Representative of effects of disk faults on ZFS University of Wisconsin - Madison

20 Corruption Experiments  TYPE:  Type-aware Object Corruptions  TARGET (Targeted On-Disk Objects)  Vdev labels  Uberblocks  Object sets Meta Object Set objset_phys_t (describing object set) Object array Myfs Object Set objset_phys_t Indirect blkptr objects Object array  ZIL  File Data  Directory Data University of Wisconsin - Madison

21 Results DetectionRecoveryCorrection vdev labelYES/ChecksumYES/ReplicaNO/COW uberblockYES/ChecksumYES/ReplicaNO/COW MOS ObjectYES/ChecksumYES/ReplicaNO/COW MOS Object SetYES/ChecksumYES/ReplicaNO/COW FS ObjectYES/ChecksumYES/ReplicaNO/COW FS Indirect ObjectsYES/ChecksumYES/ReplicaNO/COW FS Object SetYES/ChecksumYES/ReplicaNO/COW ZILYES/ChecksumNO Directory DataYES/ChecksumNO/Configurable File DataYES/ChecksumNO/Configurable University of Wisconsin - Madison

22 Summary (using IRON Taxonomy)  Detection  Checksums in parent blkptrs  Recovery  Replication in parent blkptrs (ditto blocks) University of Wisconsin - Madison

23 Conclusion  Integration of File System and Volume Manager  Saves an additional translation  Use of one generic pointer block for checksums and replication  Merkel tree provides Robustness  Use of replication/compression in commodity file system viable  COW can be used effectively University of Wisconsin - Madison

24 Observations/Questions  No correction of ditto blocks: relies on COW  Consecutive (n=wideness) failures without transaction group commit ??  Snapshot corruption ??  Explicit scrubbing corrects ditto blocks in-place  Potential for corruption ??  Space/ Performance hit due to redundancy/compression  2% hit in terms of space/IO ?? (Banham & Nash)  No Page Cache, uses ARC University of Wisconsin - Madison

25 Future Work  Snapshot corruptions  Multiple device configuration  Striping  Mirror  RAID-Z University of Wisconsin - Madison


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