1. VTS Health Assessment from SMF Type 94 records for
This is a VTS Health Assessment presentation. Some charts are linked from thumbnail charts in the VTSANAL9.XLS Excel spreadsheet.
Other charts are generated here from data linked in from the Excel spreadsheet and you must run the Update macro to
have these data charts updated.
Prepared by:

2. Summary Data
These are averages for the entire period. They are some of the key metrics that you want to track
over time and look at trends.

3. VTS Statistics - Daily -
This section has statistics by day for up to 31 days of data.

4. Daily – Logical Volumes Managed in VTS
How many logical volumes are being stored (i.e. managed) within the VTS?
Linked from data cells in spreadsheet. Double click on chart to update.

5. Daily – Stacked Volume Inventory
How many cartridges does the VTS own? Should be minimum of scratch.
Linked from data cells in spreadsheet. Double click on chart to update.

6. Daily – Stacked Volume Capacity
How much data is being stored by the VTS?
Linked from data cells in spreadsheet. Double click on chart to update.

7. Daily – Physical Tape Capacity Available
How much more data can be stored in the VTS without adding tapes?
Linked from data cells in spreadsheet. Double click on chart to update.

8. Daily – Host Data Transferred
How much throughput is the VTS handling on a daily basis!
Linked from data cells in spreadsheet. Double click on chart to update.

9. Daily – Maximum Host MB/sec in any Hour
What is the maximum throughput (in MB/sec) sent thru the VTS in any hour of this day?
Linked from data cells in spreadsheet. Double click on chart to update.

10. Daily – GB to Physical Tape (after compression)
These numbers should be smaller since this is compressed data being transferred to tape. This foil has limited usefulness in my opinion.
Linked from data cells in spreadsheet. Double click on chart to update.

11. Daily – Maximum Virtual Drives Mounted
Are you approaching the maximum number of virtual drives that you have? This number may be larger than what you would see in a Batch Magic report because the VTS does not free up the virtual drives as fast as the host does.
Linked from data cells in spreadsheet. Double click on chart to update.

12. Daily – Maximum Virtual Mount Time
? Why do you want to show this worst case ? Any hiccup or pause could cause these numbers to be large.
Linked from data cells in spreadsheet. Double click on chart to update.

13. Daily – Average Virtual Mount Time
Average Mount Time is usually higher when Cache Miss Percent is higher.
Linked from data cells in spreadsheet. Double click on chart to update.

14. Daily – Cache Miss Percent
Cache miss percent will have the most affect on Average Virtual Mount Times (on previous foil)
Linked from data cells in spreadsheet. Double click on chart to update.

15. Daily – Virtual Mounts by Type
Hopefully, Misses are a relatively small proportion of all the mounts. I usually like the next chart better than this one.
Linked from data cells in spreadsheet. Double click on chart to update.

16. Daily – Virtual Mounts by Type (Bar)
These are MVS mounts divided into 3 categories. Fast Ready=Scratch, TVC Hits=Read Hits, Misses=Read Misses
Linked from data cells in spreadsheet. Double click on chart to update.

17. Daily – Physical Mounts by Type – All backend drives
These are the VTS backend drive mounts. The Recall mounts are due to Cache Misses.
Linked from data cells in spreadsheet. Double click on chart to update.

18. Daily – Physical Mounts by Type – Drive Type 1
These are the VTS backend drive mounts. The Recall mounts are due to Cache Misses.
Linked from data cells in spreadsheet. Double click on chart to update.

19. Daily – Physical Mounts by Type – Drive Type 2
These are the VTS backend drive mounts. The Recall mounts are due to Cache Misses.
Linked from data cells in spreadsheet. Double click on chart to update.

20. Daily – Average Throttling Percents
Recall Throttling only occurs on an HPO VTS and you usually don’t see Cache Full throttling.
Therefore, in most cases, you should delete this slide. Linked from data cells in spreadsheet. Double click on chart to update.

21. Daily – Export/Import – Logical Volumes
How many volumes are being exported from the VTS or imported into the VTS.
Linked from data cells in spreadsheet. Double click on chart to update.
Many VTS’s do not use Export/Import so this slide may need to be deleted.

22. Daily – Export/Import – MB
How much data is being exported from the VTS or imported into the VTS.
Linked from data cells in spreadsheet. Double click on chart to update.
Many VTS’s do not use Export/Import so this slide may need to be deleted.

23. VTS Statistics - Daily -
Optional Detail of Mount Times
This section has detailed breakdowns of various mount times and is optional.

24. Daily – Maximum Physical Mount Time – All backend drives
? Why do you want to show this worst case ? Any hiccup or pause could cause these numbers to be large.
Linked from data cells in spreadsheet. Double click on chart to update.

25. Daily – Average Physical Mount Time – All backend drives
Somewhere in the range of 40 to 70 seconds is typical
Linked from data cells in spreadsheet. Double click on chart to update.

26. Daily – Average Physical Mount Time – Drive Type 1
Somewhere in the range of 40 to 70 seconds is typical
Linked from data cells in spreadsheet. Double click on chart to update.

27. Daily – Average Physical Mount Time – Drive Type 2
Somewhere in the range of 40 to 70 seconds is typical
Linked from data cells in spreadsheet. Double click on chart to update.

28. Daily – Average Fast Ready Mount Time
Usually this is 1 to 2 seconds, but higher on a Peer-to-Peer VTS
Linked from data cells in spreadsheet. Double click on chart to update.

29. Daily – Average Cache Hit Mount Time
Usually this is 1 to 2 seconds, but higher on a Peer-to-Peer VTS
Linked from data cells in spreadsheet. Double click on chart to update.

30. Daily – Average Cache Miss Mount Time
This is typically in the 120 to 240 seconds range
Linked from data cells in spreadsheet. Double click on chart to update.

31. Daily – Maximum Fast Ready Mount Time
? Why do you want to show this worst case ? Any hiccup or pause could cause these numbers to be large.
Linked from data cells in spreadsheet. Double click on chart to update.

32. Daily – Maximum Cache Hit Mount Time
? Why do you want to show this worst case ? Any hiccup or pause could cause these numbers to be large.
Linked from data cells in spreadsheet. Double click on chart to update.

33. Daily – Maximum Cache Miss Mount Time
? Why do you want to show this worst case ? Any hiccup or pause could cause these numbers to be large.
Linked from data cells in spreadsheet. Double click on chart to update.

34. Peer-to-Peer Statistics - Daily -
This begins the Hourly Section where we look at one specific day only.
These foils will be blank on non Peer-to-Peer VTS

35. Daily – Virtual Mounts by Distributed Library
Mounts by side of the Peer-to-Peer VTS. Should be about equal if run in balanced mode.
Other modes will usually have more mounts on the local VTS library.

36. Daily – Total Mounts by VTC – Entire Period
Should be evenly distributed if all AX0’s are local. Otherwise, local AX0’s will have more mounts
than remote AX0’s

37. Daily – Total Virtual Mounts – by VTC
Should be somewhat evenly distributed if all local P-to-P

38. Daily – Logical Volumes Copied – by VTC
This represents the write volumes that have to be copied to the other side of the VTS.
Should be somewhat evenly distributed if all local P-to-P.

39. Daily – Host GB Transferred – by VTC
This represents the Host data transferred to or from the AX0’s.
Should be somewhat evenly distributed if all local P-to-P

40. Daily – GB Copied – by VTC
This represents the compressed write data that must be copied to the other side of the VTS.
Should be somewhat evenly distributed if all local P-to-P

41. Daily – Time in Cache 48 hour Rolling Average
This is the 48 hour average time a volume stays in cache
This data only generated when using Advanced Policy Management

42. Daily – Time in Cache 35 day Rolling Average
This is the 35 day average time a volume stays in cache
This data only generated when using Advanced Policy Management

43. VTS Statistics - Hourly - for
This begins the Hourly Section where we look at the specific day indicated here.

44. Hourly – GB Read and Written to TVC
Hourly data transfers during the selected day

45. Hourly – Maximum Virtual Drives mounted
Maximum concurrent virtual drives used during each hour.

46. Hourly – Maximum Virtual Mount Time
? Why do you want to show this worst case ?
Any hiccup or pause could cause these numbers to be large.

47. Hourly – Average Virtual Mount Time
This is an indicator of how well the VTS is running. It is usually correlated with the
Cache Miss percent in the following chart.

48. Hourly – Cache Miss Percent
Cache miss percent will have the most affect on Average Virtual Mount Times (on previous foil)

49. Hourly – Age of Volumes in Cache
This is the Average Age of all Volumes in the Cache. This is not the same as the Average Time a volume stays in Cache.

50. Hourly – Virtual Mounts by Type
Hopefully, Misses are a relatively small proportion of all the mounts. I usually like the next chart better than this one.

51. Hourly – Virtual Mounts by Type
These are MVS mounts divided into 3 categories. Fast Ready=Scratch, TVC Hits=Read Hits, Misses=Read Misses

52. Hourly – Physical Mounts by Type – All backend drives
These are the VTS backend drive mounts. The Recall mounts are due to Cache Misses.
Reclaims usually are run at specific periods of the day.

53. Hourly – Physical Mounts by Type – Drive Type 1
These are the VTS backend drive mounts. The Recall mounts are due to Cache Misses.
Reclaims usually are run at specific periods of the day.

54. Hourly – Physical Mounts by Type – Drive Type 2
These are the VTS backend drive mounts. The Recall mounts are due to Cache Misses.
Reclaims usually are run at specific periods of the day.

55. Hourly - % Blocksizes by Blocks Transferred
What percent of the total blocks transferred to the VTS are in the various ranges?
Small blocksizes will lessen performance.

56. Hourly – Host Data Compression Ratio
How much is the data being compressed as it is read into the VTS’s cache.

57. Hourly – Overall Throttling Value (msec)
Probably will only see values on an HPO B18 VTS.
Indicates # of msec out of each second when throttling is occurring.

58. Hourly – Throttling Percents
What percent of the hour was the VTS recall throttling (only on HPO VTS) or throttling because the Cache Full
threshold had been reached

59. Hourly – VTS Indicators
Two indicators of possible concern: Average Mount Time greater than 30 seconds or
Worst mount time in the hour greater than 300 seconds.

60. Hourly – Export/Import – Logical Volumes
How many volumes are being exported from the VTS or imported into the VTS.
Many VTS’s do not use Export/Import so this slide may need to be deleted.

61. Hourly – Export/Import - MB
How much data is being exported from the VTS or imported into the VTS.
Many VTS’s do not use Export/Import so this slide may need to be deleted.

62. VTS Statistics - Hourly -
Optional Detail on Mount Times
This section has detailed breakdowns of various mount times and is optional.

63. Hourly – Average Physical Mount Times – All backend drives
Generally should be in the 40 to 70 second range

64. Hourly – Average Physical Mount Times – Drive Type 1
Generally should be in the 40 to 70 second range

65. Hourly – Average Physical Mount Times –Drive Type 2
Generally should be in the 40 to 70 second range

66. Hourly – Average Fast Ready Mount Times
Usually this is 1 to 2 seconds, but higher on a Peer-to-Peer VTS

67. Hourly – Average Read Hit Mount Times
Usually this is 1 to 2 seconds, but higher on a Peer-to-Peer VTS

68. Hourly – Average Read Miss Mount Times
This is typically in the 120 to 240 seconds range

69. Hourly – Maximum Fast Ready Mount Times
? Why do you want to show this worst case ?
Any hiccup or pause could cause these numbers to be large.

70. Hourly – Maximum Read Hit Mount Times
? Why do you want to show this worst case ?
Any hiccup or pause could cause these numbers to be large.

71. Hourly – Maximum Read Miss Mount Times
? Why do you want to show this worst case ?
Any hiccup or pause could cause these numbers to be large

72. Peer-to-Peer Statistics - Hourly -
This begins the Hourly Section where we look at one specific day only.
These foils blank when not Peer-to-Peer

73. Hourly – Virtual Mounts by Dist Library
Mounts by side of the Peer-to-Peer VTS. Should be about equal if run in balanced mode.
Other modes will usually have more mounts on the local VTS library.

74. Hourly – Total Virtual Mounts by VTC – Entire Day
Should be evenly distributed if all AX0’s are local. Otherwise, local AX0’s will have more mounts
than remote AX0’s

75. Hourly – Total Virtual Mounts - by VTC
Should be somewhat evenly distributed if all local P-to-P

76. Hourly – Logical Volumes Copied – by VTC
This represents the write volumes that have to be copied to the other side of the VTS.
Should be somewhat evenly distributed if all local P-to-P.

77. Hourly – Host GB Transferred – by VTC
This represents the Host data transferred to or from the AX0’s.
Should be somewhat evenly distributed if all local P-to-P

78. Hourly – MB Copied – by VTC
This represents the write data (after compression) that has to be copied to the other side of the VTS.
Should be somewhat evenly distributed if all local P-to-P.

79. Hourly – Write Data Compression Ratio – by VTC
What compression ratios are occuring in the AX0’s.
Must be latest level of microcode for these numbers.

80. Hourly – PG0 Virtual Mounts by Type (Line)
Hopefully, Misses are a relatively small proportion of all the mounts. I usually like the next chart better than this one.
This data only generated when using Advanced Policy Management

81. Hourly – PG0 Virtual Mounts by Type (Bar)
These are MVS mounts for PG0 volumes divided into 3 categories. Fast Ready=Scratch, TVC Hits=Read Hits, Misses=Read Misses
This data only generated when using Advanced Policy Management

82. Hourly – PG1 Virtual Mounts by Type (Line)
Hopefully, Misses are a relatively small proportion of all the mounts. I usually like the next chart better than this one.
This data only generated when using Advanced Policy Management

83. Hourly – PG1 Virtual Mounts by Type (Bar)
These are MVS mounts for PG1 volumes divided into 3 categories. Fast Ready=Scratch, TVC Hits=Read Hits, Misses=Read Misses
This data only generated when using Advanced Policy Management

84. Hourly – Time in Cache 4 hour Rolling Average
This is the 4 hour average time a volume stays in cache
This data only generated when using Advanced Policy Management

85. Hourly – Time in Cache 48 hour Rolling Average
This is the 48 hour average time a volume stays in cache
This data only generated when using Advanced Policy Management

86. Hourly – Time in Cache 35 day Rolling Average
This is the 35 day average time a volume stays in cache
This data only generated when using Advanced Policy Management