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1. Files |
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This distribution contains the following files: |
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a) README.txt: this file |
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b) *.csv.gz: I/O trace files, described below |
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c) MD5.txt: output of md5sum for csv.gz files |
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2. I/O trace files |
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There are 2706 I/O traces from 6 different block storage devices (LUNs 0,1,2,3,4, and 6). |
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More information about these is available from the SYSTOR '17 paper (see below). |
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Each trace file is named as <date>_<lun index>.csv.gz. |
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The date format consists of year(4 char.),month(2 char.),day(2 char.), and hour(2 char.). |
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The LUN index corresponds to each block storage device. |
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In the traces, the lun indexes are only 0,1,2,3,4, and 6. |
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Here is an example file name. |
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2016022219-LUN4.csv.gz |
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- year : 2016 |
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- month : 02 (Feb.) |
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- day : 22nd |
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- hour : 7 PM |
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- LUN index : 4 |
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3. I/O trace file format |
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The files are gzipped csv (comma-separated text) files. The fields in |
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the csv are: |
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Timestamp,Response,IOType,LUN,Offset,Size |
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- Timestamp is the time the I/O was issued. |
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The timestamp is given as a Unix time (seconds since 1/1/1970) with a fractional part. |
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Although the fractional part is nine digits, it is accurate only to the microsecond level; |
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please ignore the nanosecond part. |
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If you need to process the timestamps in their original local timezone, it is UTC+0900 (JST). |
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For example: |
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> head 2016022219-LUN4.csv.gz ← (Mon, 22 Feb 2016 19:00:00 JST) |
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1456135200.013118000 ← (Mon, 22 Feb 2016 10:00:00 GMT) |
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- Response is the time needed to complete the I/O. |
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- IOType is "Read(R)", "Write(W)", or ""(blank). |
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The blank indicates that there was no response message. |
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- LUN is the LUN index (0,1,2,3,4, or 5). |
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- Offset is the starting offset of the I/O in bytes from the start of |
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the logical disk. |
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- Size is the transfer size of the I/O request in bytes. |
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4. Additional information |
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When we cleaned up our traces, we found additional traces. |
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We unfortunately detected some packet loss (below 0.1%) |
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due to the way port-mirroring works. |
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Finally, for a small number of transactions we could not find a mapping |
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between OX_ID and RX_ID in a single binary dump file. |
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As a result, they became the unknown transactions mentioned above. |
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Here, we summarize the additional information: |
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a) The additional measurements (Feb.16.2016 ~ Feb.21.2016) |
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and extra hour (e.g. 7 AM) are included to this distribution. |
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b) Due to the packet loss, some unknown transactions and |
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irregular response times are included in the traces. |
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Moreover, there was packet loss for a few seconds |
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whenever the hour changed [e.g.) 9 AM -> 10 AM]. |
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Please ignore those transactions. |
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c) In order to fix the unknown transactions, |
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we modified them using OX_ID and RX_ID with a series of dump files. |
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Through the modification, we recovered a few more |
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transactions in the entire traces. |
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We also confirmed the CDF curves, and |
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there was no impact on the statistics. |
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5. Contact address |
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Please contact us via e-mail if you have any questions. |
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E-mail : systor_dataset_2017(at)ml.labs.fujitsu.com |
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6. Attribution. |
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Please cite the following publication as a reference in any published |
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work using these traces. |
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#Text |
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----- |
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Understanding storage traffic characteristics on enterprise virtual desktop |
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infrastructure |
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Chunghan Lee, Tatsuo Kumano, Tatsuma Matsuki, Hiroshi Endo, Naoto Fukumoto, and |
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Mariko Sugawara |
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Fujitsu Laboratories Ltd. |
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Proc. of the 10th ACM International Systems and Storage Conference (SYSTOR '17) |
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https://dl.acm.org/citation.cfm?id=3078479 |
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----- |
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#Bibtex |
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@inproceedings{Lee2017Understanding, |
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author = {Lee, Chunghan and Kumano, Tatsuo and Matsuki, Tatsuma and Endo, Hiroshi |
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and Fukumoto, Naoto and Sugawara, Mariko}, |
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title = {Understanding Storage Traffic Characteristics on Enterprise Virtual Desktop |
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Infrastructure}, |
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booktitle = {Proceedings of the 10th ACM International Systems and Storage |
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Conference}, |
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series = {SYSTOR '17}, |
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year = {2017}, |
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isbn = {978-1-4503-5035-8}, |
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location = {Haifa, Israel}, |
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pages = {13:1--13:11}, |
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articleno = {13}, |
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numpages = {11}, |
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publisher = {ACM}, |
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address = {New York, NY, USA}, |
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keywords = {measurement, performance analysis, virtual desktop infrastructure (VDI)}, |
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} |
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----- |
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