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3.2.3.3 IBM Hydra Cache Preference Group Analysis (TAPLHB)


The CA MICS IBM Hydra Cache Preference Group Report displays
important virtual tape server cache usage information for
each preference group within a cache partition.
 
The report provides an excellent view of the DASD cache
utilization, including the average number of virtual volumes
resident, their average size, and total data volume.  Several
different views of volume age are listed (how long volumes
stay in cache), and frequency of volumes migrated out of
cache.
 
This report provides data useful for evaluating the
effectiveness of preference level setting.  Using preference
levels for virtual volumes supports the automation of
separating virtual volumes into two groups: those that should
remain in cache as long as possible, and those that should be
removed from cache as soon as possible.
 
The report uses the report header described in section
3.2.3.1.2.  Additionally, in the upper left of the main
report body, the cache partition reported is listed.
 
The report body reports on the following measurements from
left to right:
 
Interval count and general cache volume information:
 
o Number of Recording Intervals   - INTERVLS
o Avg Virtual Volumes in Cache    - HPGAVVVC
o Avg Virtual Volume Size (MB)    - HPGAVVSZ
o Avg Data Resident in Cache (GB) - HPGAVDRC
 
Average age of the virtual volumes in cache:
 
o 4 HR Rolling Avg Virt Vol Age   - HPGVA4
o 48 HR Rolling Avg Virt Vol Age  - HPGVA48
o 35 Day Rolling Avg Virt Vol Age - HPGVA35
 
Number of volumes migrated last 4 and 48 hours, and 35 days:
 
o Virt Vols Migrated Last 4 Hrs   - HPGVM4
o Virt Vols Migrated Last 48 Hrs  - HPGVM48
o Virt Vols Migrated Last 35 Days - HPGVM35
 
At the bottom of the report, a line shows summary totals,
minimums, maximums, averages, or percentages, as appropriate
for the detailed data in each column.
 
All report data is generated from the Hydra Hnode Cache Pref
Grp Statistics (HVTHHA) file.

To produce the report:
 
   1. Enter the CA MICS Workstation Facility (MWF)
 
   2. Select option 2, CA MICS Information Center Facility
        (MICF)
 
   3. Select option 2, Database Inquiries
 
   4. Select TAPLHB, IBM HYDRA Preference Group Analysis,
      in Catalog Group PERFORM
 
   5. Complete the MICF Execution panel
 
   6. Complete the specification panel.  Refer to section
      3.2.3.1.1, IBM Hydra MICF Inquiry Specification Panels,
      for information about modifiable panel fields.
 

Inquiry : TAPLHB CA MICS IBM Hydra Cache Preference Group Report Run Date: 29MAYyy Data Presented by Hour within Day Page 001 Cluster Identification #: 0 Grid Composite Identification: 10000 Report Start: 28MAYyy:00:00 Node Identification #: 0 Distributed Library Sequence #: 10001 Report End : 29MAYyy:00:00 Node Serial Number: 78-42FG3 Virtual Engine Code Level: 8.5.0.154 Timespan : DAYS --------------------------------------------------------------------------------------------------------------------------------- Day: 28MAYyy Cache Partition # 1 --------- Preference Group 0 (Remove from Cache) -------- + ----------- Preference Group 1 (Keep in Cache) ---------- Avg Avg -- Rolling --- --- Volumes ---- | Avg Avg -- Rolling --- --- Volumes ---- Avg Vol Cache Volume Age Migrated | Avg Vol Cache Volume Age Migrated Numb Vols in Size Data 4-HR 48-HR 35-DY Last | Vols in Size Data 4-HR 48-HR 35-DY Last HOUR Intv Cache (MB) (GB) HH:MM HH:MM HH:MM 4-HR 48-HR 35-DY | Cache (MB) (GB) (---- HOURS ----) 4-HR 48-HR 35-DY ---- ---- ------- ----- ----- ----- ----- ----- ----- ----- ------ + ------- ----- ----- ----- ----- ----- ----- ----- ------ 0 4 253 764 194 52:22 13:47 11:38 593 8927 134176 4542 1098 4988 341 344 318 219 1073 14319 1 4 359 618 221 1:46 13:47 11:38 682 8890 134176 4551 1104 5026 338 343 318 219 1073 14319 2 4 559 812 454 1:58 13:46 11:38 823 8933 134176 4496 1108 4983 334 343 318 312 1084 14319 3 4 591 906 535 2:22 13:46 11:38 1152 9043 134176 4386 1110 4870 330 343 318 171 1091 14319 4 4 547 744 407 2:47 13:45 11:38 1101 9034 134176 4411 1109 4893 327 342 318 171 1048 14319 5 4 213 806 172 4:00 13:52 11:38 1298 8702 134176 4435 1108 4912 324 342 318 171 1048 14319 6 4 108 980 106 3:36 13:52 11:38 1337 8892 134176 4456 1105 4925 322 341 318 78 1048 14319 7 4 15 1071 16 2:42 13:52 11:38 1175 8981 134176 4474 1106 4947 325 341 318 0 1048 14319 8 4 35 767 27 1:45 13:52 11:38 1133 8986 134176 4511 1117 5038 327 340 318 0 1048 14319 9 4 20 661 13 36:05 16:51 11:38 766 8995 134176 4529 1123 5088 329 340 318 0 1048 14319 10 4 26 573 15 36:46 16:55 11:38 529 8995 134176 4561 1125 5132 329 340 318 0 1048 14319 11 4 25 584 14 37:43 16:59 11:38 411 8939 134176 4586 1124 5155 330 339 318 0 1048 14319 12 4 25 846 21 38:43 17:05 11:38 386 8953 134176 4610 1123 5175 330 339 318 0 1048 14319 13 4 22 738 16 4:26 17:12 11:38 397 8917 134176 4621 1124 5195 330 338 318 0 1048 14319 14 4 34 740 25 5:26 17:21 11:38 487 8893 134176 4659 1123 5233 331 338 318 0 1048 14319 15 4 30 1002 30 6:26 17:30 11:38 543 8901 134176 4665 1122 5232 332 337 318 0 1048 14319 16 4 30 1001 30 7:26 17:41 11:38 586 8922 134176 4697 1119 5254 334 337 318 0 1048 14319 17 4 37 783 29 8:26 17:53 11:38 712 8916 134176 4709 1118 5265 337 336 318 0 1048 14319 18 4 31 766 24 9:26 18:06 11:38 690 8921 134176 4717 1119 5279 340 336 318 0 1048 14319 19 4 28 782 22 10:26 18:21 11:38 677 8908 134176 4730 1123 5310 342 336 318 0 1048 14319 20 4 30 656 20 11:26 18:37 11:38 689 8892 134176 4737 1126 5332 343 335 318 0 1048 14319 21 4 29 742 21 12:26 18:54 11:38 648 8914 134176 4736 1127 5338 345 335 318 0 1048 14319 22 4 78 1114 87 9:58 18:54 11:38 706 8958 134176 4767 1123 5352 346 334 318 63 1024 14319 23 4 183 1834 335 7:23 18:53 11:55 643 9020 134325 4540 1128 5123 341 334 320 294 684 14241 ---- ------- ----- ----- ----- ----- ----- ----- ----- ------ ------- ----- ----- ----- ----- ----- ----- ----- ------ Tots 96 138 845 118 13:10 16:19 11:39 757 8935 134182 4589 1117 5127 334 339 318 71 1037 14316 ---------------------------------------------------------------------------------------------------------------------------------


 Figure 3-22.  IBM Hydra Cache Preference Group Analysis