Mr-1cp-Cperet Lab Guide r29.0.1

CLARiiON Performance Workshop

January 2010

CLARiiON Performance Workshop Lab Guide

Copyright © 2010 EMC Corporation. All Rights Reserved. Version 29.0.1 of 78

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Document Revision History

Rev # File Name Date

19.2 CLARiiON Performance Lab. Doc April 17, 2006 26.0.1 MR-9CP-CPERET_Lab_Guide.doc January 22, 2008 28.5 MR-5CP-CPERET_Lab_Guide.doc December 18, 2008 29.0.1 MR-1CP-

CPERET_Lab_Guide_R29.0.1.doc January 31, 2010



Table of Contents: CLARiiON Performance Workshop Lab Guide

Copyright ............................................................................................................................2 Trademark Information .......................................................................................................3 Document Revision History ................................................................................................4 Table of Contents: CLARiiON Performance Workshop Lab Guide....................................5

Exercise 1: Navisphere Secure CLI........................................................................................7 Exercise 1...........................................................................................................................8 Part 1: Interpret the output of the getcontrol command .....................................................8 Exercise 1...........................................................................................................................9 Part 2: Interpret the output of the getcache command.......................................................9 Exercise 1.........................................................................................................................10 Part 3: Interpret the output of the getdisk command........................................................10 Exercise 1.........................................................................................................................11 Part 4: Interpret the output of the getlun command .........................................................11

Exercise 2: Analyzer Familiarization.....................................................................................13 Exercise 2.........................................................................................................................14 Part 1: Analysis of NAR001.nar .......................................................................................14 Exercise 2.........................................................................................................................17 Part 2: Analysis of NAR002.nar .......................................................................................17

Exercise 3: Navisphere Analyzer CLI ...................................................................................21 Exercise 3.........................................................................................................................22 Part 1: Conversion to a CSV file ......................................................................................22 Exercise 3.........................................................................................................................23 Part 2: Conversion to a tab-delimited text file ..................................................................23

Exercise 4: Analysis of LUN and SP performance ...............................................................25 Exercise 4.........................................................................................................................26 Part 1 : Analysis of NAR003.nar .......................................................................................26

Exercise 5: FAST LUN Migrator for CLARiiON ....................................................................29 Exercise 5.........................................................................................................................30 Part 1 : Analysis of a NAR file with lunanalyze .................................................................30

Exercise 6: Data alignment ..................................................................................................33 Exercise 6.........................................................................................................................34 Part 1: Expected disk crossing rate .................................................................................34 Exercise 6.........................................................................................................................35 Part 2: Performance impact of disk crossings..................................................................35

Exercise 7: Cache page size................................................................................................37 Exercise 7.........................................................................................................................38 Part 1: Cache page size impact .......................................................................................38

Exercise 8: Analysis of LUN layout.......................................................................................39



Exercise 8.........................................................................................................................40 Part 1 : Comparison of LUN layouts .................................................................................40

Exercise 9: Analysis of LUN R/W performance ....................................................................43 Exercise 9.........................................................................................................................44 Part 1 : Comparison of reads/writes from different RAID types ........................................44

Exercise 10: metaLUNs........................................................................................................47 Exercise 10.......................................................................................................................48 Part 1: metaLUN stripe element size ...............................................................................48

Exercise 11: RAID Group defragmentation ..........................................................................49 Exercise 11.......................................................................................................................50 Part 1: RAID Group defragmentation...............................................................................50 Exercise 11.......................................................................................................................51 Part 2: Performance effect of RAID Group defragmentation............................................51

Exercise 12: Analysis of SnapView performance .................................................................53 Exercise 12.......................................................................................................................54 The Effect of a SnapView Session on LUN Performance .................................................54

Exercise 13: Analysis of SnapView clone performance........................................................57 Exercise 13.......................................................................................................................58 The Effect of SnapView Clone Size on Performance........................................................58

Exercise 14: Analysis of ISC performance ...........................................................................61 Exercise 14.......................................................................................................................62 Part 1 : Analyzing ISC performance..................................................................................62

Exercise 15: Analysis of MV/S performance ........................................................................65 Exercise 15.......................................................................................................................66 Part 1 : Analysis of MV/S performance.............................................................................66

Exercise 16: Analysis of MV/A performance ........................................................................69 Exercise 16.......................................................................................................................70 Part 1 : Analysis of MV/A performance.............................................................................70 Design Exercise 1.............................................................................................................73 Migrating from JBOD to CLARiiON...................................................................................73 Design Exercise 2.............................................................................................................75 Adding SnapView Snapshots to CLARiiON LUNs ............................................................75 Design Exercise 3.............................................................................................................77 Adding MirrorView/A to CLARiiON LUNs..........................................................................77



Exercise 1: Navisphere Secure CLI

Purpose:

View and interpret the output of Navisphere Secure CLI commands commonly used in performance analysis

Objectives: At the end of this exercise, you will have:

1. Learned to interpret the output of the commands: a. getcontrol b. getcache c. getdisk d. getlun

References: EMC Navisphere Command Line Interface (CLI) REFERENCE (P/N 300-003-628)



Exercise 1

Part 1: Interpret the output of the getcontrol command

Step Action

1 View the file getcontrol.txt

Q1 What is the state of the write cache?

Q2 What is the state of the read cache?

Q3 Is this CLARiiON operating normally? How do you know?

Q4 What is the utilization of this SP?

Q5 Is the utilization specified for the SP consistent with the values specified for busy ticks and idle ticks?

Q6 What is the average read size and write size for SP I/Os? Q7 Has any watermark flushing occurred?



Exercise 1

Part 2: Interpret the output of the getcache command

Step Action

1 View the file getcache.txt

Q1 What are the watermarks set to on this CLARiiON?

Q2 What is the percentage of dirty pages for this SP?

Q3 Which SP is busiest, this SP or its peer? How do you know?

Q4 What is the size of the write cache?

Q5 Has all of the available SP memory been used for cache?

Q6 What percentage of cache pages are owned by this SP? How could you explain this?



Exercise 1

Part 3: Interpret the output of the getdisk command

Step Action

1 View the file getdisk.txt

Q1 Which disk is referenced by this command?

Q2 Does this disk have LUNs bound on it?

Q3 Is there read and write activity on this disk? How can you tell?

Q4 Are any LUNs rebuilding or binding?

Q5 If this disk is part of a 4+2 R6 group, what is the total user size of the LUNs on the RAID Group? How much space is occupied by the LUNs on the RAID Group?



Exercise 1

Part 4: Interpret the output of the getlun command

Step Action

1 View the file getlun.txt

Q1 Which RAID Group is this LUN bound on?

Q2 What is the RAID type of this LUN?

Q3 What is the R/W ratio of this LUN?

Q4 What is the largest prefetch that this LUN will perform?

Q5 What are the sizes of reads being performed?

Q6 What are the sizes of the writes being performed?

Q7 Is read cache being used effectively for this LUN? Explain.

Q8 Are stripe crossings caused by the writes performed by this LUN? Explain.



Notes



Exercise 2: Analyzer Familiarization

Purpose:

View and analyze NAR files captured from a simple environment

Objectives: At the end of this exercise, you will have: 1. Opened NAR files with off-array Navisphere Analyzer 2. Viewed the file contents with different view options 3. Observed differences in LUN and disk utilization 4. Interpreted changes in observed performance

References:



Exercise 2

Part 1: Analysis of NAR001.nar

Step Action

1 Open NAR001.nar with the off-array Navisphere Manager 2 LUNs 500 and 501 are active. At around 48 minutes into the run, the write-aside

value for LUN 500 is changed from 2048, the default, to 255.

3 Note the utilization of the LUNs. Note the Total Throughput for each LUN. Does the utilization match the throughput? Explain your answer.

4 Note the LUN queue lengths. What does this suggest about the I/O access pattern?

5 Note the response times of the LUNs. What caused the shape of the curve at the 48 minute mark?

6 Note the read cache hit ratio and the write cache hit ratio for each LUN. What type of I/O access pattern is suggested here for each LUN? Look at disk statistics to confirm your hypothesis.

7 Note the read, write and total bandwidth for LUN 500

8 Deselect LUN 501.

9 Expand LUN 500 to show disks, and select all disks. Do they all show the same utilization? Explain your answer.

10 Compare disk utilization with LUN utilization. Is there a difference? Why?

11 Compare disk bandwidth with LUN bandwidth. Is there a difference? Why? How do the values compare near the end of the test?

12 View other parameters – SP dirty pages, etc

13 In this example, performance was altered by changing the write-aside value for the LUN. Would turning off write caching have accomplished the same goal?



LUN/Disk LUN/Disk LUN/Disk LUN/Disk LUN/Disk

Utilization (%)

Response Time (ms)

Queue Length

Write Throughput (IOPs)

Write Cache Hits/s

Write Bandwidth (MB/s)

Write Size (kB)

Read Throughput (IOPs)

Read Cache Hits/s

Read Bandwidth (MB/s)

Read Size (kB)

ABQL

Full Stripe Writes/s

Average Seek Distance



Exercise 2

Part 2: Analysis of NAR002.nar

Step Action

1 Open NAR002.nar with the off-array Navisphere Manager 2 LUNs 500 and 501 are active. At around 28 minutes into the run, the performance

of the LUNs changes.

3 Note the utilization of the LUNs. Note the Total Throughput for each LUN. Does the utilization match the throughput? Explain your answer.

4 Note the LUN queue lengths. What does this suggest about the I/O access pattern?

5 Note the response times of the LUNs. What caused the shape of the curve at the 28 minute mark?

6 Note the read cache hit ratio and the write cache hit ratio for each LUN. What type of I/O access pattern is suggested here for each LUN? Is this what you saw in NAR001? Look at disk statistics to confirm your hypothesis.

7 Note the read, write and total bandwidth for LUN 500. What is the R/W ratio for the LUNs?

8 Deselect LUN 501.

9 Expand LUN 500 to show disks, and select all disks. Do they all show the same utilization? Explain your answer.

10 Compare disk utilization with LUN utilization. Is there a difference? Why?

11 Compare disk bandwidth with LUN bandwidth. Is there a difference? Why? How do the values compare near the end of the test?

12 View other parameters – SP dirty pages, etc. Check the I/O sizes for LUN 500.

13 In this example, performance was altered by changing the write-aside value for LUN 500. Would turning off write caching have accomplished the same goal?




Utilization (%)

Response Time (ms)

Queue Length


Write Cache Hits/s


Write Size (kB)


Read Cache Hits/s


Read Size (kB)

ABQL





Notes



Exercise 3: Navisphere Analyzer CLI

Purpose:

Use the Navisphere Analyzer CLI commands to convert a Navisphere Analyzer Archive file (NAR file) to a CSV and a tab-delimited text file


1. Learned to reference the Analyzer Administration Guide 2. Used the archivedump command to convert file formats

References: EMC Navisphere Analyzer Command Line Interface (CLI) REFERENCE (P/N 300-004-210)



Exercise 3

Part 1: Conversion to a CSV file

Step Action

1 Use the archivedump command to produce a CSV (comma separated value) file from Navisphere Analyzer Archive file NAR003.nar. Call the file CSV003.csv Include only SP and disk statistics (in other words, exclude LUN, metaLUN, Snapshot, etc)

2 View the content of CSV003.csv. Where would you use a file with this format?



Exercise 3

Part 2: Conversion to a tab-delimited text file

Step Action

1 Use the archivedump command to produce a tab-delimited text file from Navisphere Analyzer Archive file NAR003.nar. Call the file TAB003.tab

2 View the content of TAB003.tab. Where might you use a file with this format?



Notes



Exercise 4: Analysis of LUN and SP performance

Purpose:

View and analyze a NAR file captured from an environment with multiple LUNs

Objectives: At the end of this exercise, you will have: 1. Opened a NAR file with off-array Navisphere Analyzer 2. Viewed the file contents with different view options 3. Observed differences in SP, LUN and disk utilization 4. Analyzed write cache performance 5. Interpreted changes in observed performance

References:



Exercise 4

Part 1 : Analysis of NAR003.nar

Step Action

1 Open NAR003.nar with the off-array Navisphere Manager. LUNs 600 and 601 are the LUNs of interest.

2 Set the Performance Survey values appropriately to see which LUNs are busy. 3 Note the bandwidth, throughput and response times LUNs 600 and 601. The

behavior of the LUNs changes around halfway through the NAR file. Q1 Are there busy LUNs in the range LUN 500 to LUN 507? Which disks are they on?

Which SP owns them? Q2 Are there busy LUNs in the range LUN 1000 to LUN 1007? Which disks are they

on? Which SP owns them? Q3 Which LUNs in the range LUN 600 to LUN 607 are busy? Which disks are they on?

Which SP owns them? Which host(s) are they assigned to? Is ALUA supported on these hosts?

Q4 View the utilization, bandwidth and throughput for LUNs 600 and 601 and their disks. Check queue length, response time, read size and write size.

Q5 What caused the behavior change in the LUNs? Compare the performance of other busy LUNs before making a final decision.




Utilization (%)

Response Time (ms)

Queue Length


Write Cache Hits/s


Write Size (kB)


Read Cache Hits/s


Read Size (kB)

ABQL





Exercise 5: FAST LUN Migrator for CLARiiON

Purpose:

Analyze a NAR file with the lunanalyze command

Objectives: At the end of this exercise, you will have: 1. Analyzed a NAR file with lunanalyze 2. Viewed the output of the command 3. Determined which LUNs would benefit by being migrated

References:



Exercise 5

Part 1 : Analysis of a NAR file with lunanalyze

Step Action

1 Install the FAST LUN Migrator host software on a Windows host. 2 Run the lunanalyze command against FAST.nar, and choose a name for the output

file. Hint: FAST will be easy to remember. 3 Examine the XML output file

Q1 Which LUNs show up as strong candidates for migration to EFDs? Q2 What makes them good candidates? Explain. 4 Open FAST.nar with Navisphere Analyzer. Does what you see here confirm the

result of running lunanalyze?




Utilization (%)

Response Time (ms)

Queue Length


Write Cache Hits/s


Write Size (kB)


Read Cache Hits/s


Read Size (kB)

ABQL





Exercise 6: Data alignment

Purpose:

Determine the performance impact of misalignment of data


1. Learned to calculate the expected disk crossing rate 2. Used disk crossings to determine performance impact

References:



Exercise 6

Part 1: Expected disk crossing rate

Step Action

1 A CLARiiON LUN is formatted with the default element size. What is this element size in kB?

Q1 What is the expected disk crossing rate for an I/O size of 8 kB? Q2 What would it be if the I/O size was 32 kB? Q3 Does the disk crossing rate depend on RAID type? On stripe size? On R/W ratio?



Exercise 6

Part 2: Performance impact of disk crossings

Step Action

1 Use the numbers you calculated in Part 1 to determine the reduction in work done by a RAID 5 LUN, and by a RAID 6 LUN, with 100% writes of the different sizes you used in Part 1. Assume that all writes are random.

Hint If performing a certain number of host I/Os used to require x disk I/Os, and now requires y disk I/Os, then your performance has dropped (roughly) to x/y.

Q1 How would your answers change if the host I/O access pattern had a R/W ratio of 1:1?



Notes



Exercise 7: Cache page size

Purpose:

Discuss the effect of different cache page sizes


1. Discussed the impact of various cache page sizes 2. Verified your conclusions

References:



Exercise 7

Part 1: Cache page size impact

Step Action

1 What is the advantage of using a 16 kB page size? What changes if a page size of 2 kB is used?

2 A host generates 256 kB sequential I/Os. Which page size would be most efficient? Would this change if the I/Os were random? What if the I/O size was 8 kB?

3 Would you expect to see a performance difference if you performed testing with 512 byte and 64 kB I/Os, and 2 kB or 16 kB cache pages? Verify by looking at the 4 NAR files: NAR004A.nar – 2 kB cache page size, 512 byte I/O size NAR004B.nar – 2 kB cache page size, 64 kbyte I/O size NAR004C.nar – 16 kB cache page size, 512 byte I/O size NAR004D.nar – 16 kB cache page size, 64 kbyte I/O size

Q1 Are these the results you expected? If not, explain why not.



Exercise 8: Analysis of LUN layout

Purpose:


Objectives: At the end of this exercise, you will have: 1. Opened NAR files with off-array Navisphere Analyzer 2. Viewed the file contents with different view options 3. Observed differences in LUN and disk performance 4. Analyzed performance for different LUN layouts

References:



Exercise 8

Part 1 : Comparison of LUN layouts

Step Action

1 Open NAR008A, NAR008B and NAR008C.nar with the off-array Navisphere Manager. LUNs 600 through 609 are active. In NAR008A, busy LUNs are at the beginning of the RAID Group. In NAR008B, busy LUNs are around 1/3 way into the RAID Group. In NAR008C, busy LUNs are at the beginning and end of the RAID Group.

2 View the performance of each LUN. Pay attention to bandwidth, throughput, response time, and average disk seek distance.

Q1 Which layout achieves the best performance for the busy LUNs?

Q2 Which layout achieves the best performance for the idle LUNs?

Q3 Which layout achieves the best overall performance (most IOPs for all LUNs)?

Q4 Is this what you expected? Explain your answer.




Utilization (%)

Response Time (ms)

Queue Length


Write Cache Hits/s


Write Size (kB)


Read Cache Hits/s


Read Size (kB)

ABQL





Exercise 9: Analysis of LUN R/W performance

Purpose:


Objectives: At the end of this exercise, you will have: 1. Opened NAR files with off-array Navisphere Analyzer 2. Viewed the file contents with different view options 3. Observed differences in LUN and disk utilization 4. Analyzed read/write performance for different RAID types

References:



Exercise 9

Part 1 : Comparison of reads/writes from different RAID types

Step Action

1 Open NAR009A.nar and NAR009B.nar with the off-array Navisphere Manager. NAR009A.nar has the data for the RAID 1/0 LUN, and NAR009B.nar has the data for the RAID 5 and RAID 6 LUNs. Active LUNs are 500, 600 and 1000.

2 View the performance of each LUN. Pay attention to bandwidth, throughput, response time, and average disk seek distance. Note the I/O size and the R/W ratio.

Q1 How many ‘equivalent’ disks does each LUN have? Is this comparison of RAID types fair?

Q2 What is the read size and write size for each LUN? What sizes do you see for the physical disks? Explain any difference you see.

Q3 The host is performing 2 MB operations, verified by checking with perfmon. Is that what you see at the CLARiiON? Explain your answer.

Q4 If performance was your sole objective, which RAID type would you use for I/O access patterns of this nature?




Utilization (%)

Response Time (ms)

Queue Length


Write Cache Hits/s


Write Size (kB)


Read Cache Hits/s


Read Size (kB)

ABQL





Exercise 10: metaLUNs

Purpose:

Calculate the metaLUN stripe element size


1. Learned to calculate metaLUN element size

References:



Exercise 10

Part 1: metaLUN stripe element size

Step Action

1 A metaLUN uses 3 LUNs of the same size: a LUN from a 4+1 RAID 5 group, a LUN from an 8+1 RAID 5 group, and a LUN from a 14+1 RAID 5 group. If LUN element sizes are the default, and metaLUN stripe element size multiplier is left at the default of 4, how much data will be written to each LUN in a single metaLUN stripe if each of the different component LUNs is used as the base LUN?

2 A metaLUN consists of 3 LUNs: a LUN from a 4+1 RAID 5 group, a LUN from an 8+1 RAID 5 group, and a LUN from a 14+1 RAID 5 group. If LUN element sizes are the default, and metaLUN stripe element size multiplier is left at the default of 4, how much data will be written to each LUN in a single metaLUN stripe?

Q1 Do your answers for Part 1 and Part 2 differ? Do you think data size differences will affect performance?



Exercise 11: RAID Group defragmentation

Purpose:

Discuss the effect of RAID Group defragmentation


1. Discussed RAID Group defragmentation 2. Discussed the effects of RAID Group defragmentation

References:



Exercise 11

Part 1: RAID Group defragmentation

Step Action

1 RAID Group 5, an 8+1 RAID 5 RAID Group, has become fragmented. There are 2 LUNs on the RAID Group. LUN 500 starts at the beginning of the RAID Group, and has a size of 10,485,763 blocks (just over 5 GB). LUN 501 starts at the beginning of stripe 25,000. A defragment operation is started. Why is no parity recalculation needed when moving the LUN 501 data? Note: to determine LUN starting and ending positions, change block size to stripe size.



Exercise 11

Part 2: Performance effect of RAID Group defragmentation

Step Action

1 What effect will defragmentation have on the physical process of fetching data? Which Navisphere Analyzer disk attribute would change after a defragmentation is performed? How could this affect LUN performance?



Notes



Exercise 12: Analysis of SnapView performance

Purpose:

View and analyze data captured from a SnapView environment

Objectives: At the end of this exercise, you will have: 1. Opened a NAR file with off-array Navisphere Analyzer 2. Viewed the file contents with different view options 3. Observed differences in LUN and disk performance 4. Analyzed SnapView performance

References:



Exercise 12

The Effect of a SnapView Session on LUN Performance

Step Action

1 Open NAR012.nar LUNs 500 and 501 are running different I/O patterns. A few minutes into the test, a SnapView Session is started on each LUN. The Reserved LUNs are LUNs 2000 through 2007.

2 View the LUN and disk activity for the Source LUNs and the Reserved LUNs, and answer the questions for each.

Q1 What is the I/O size at the Source LUN?

Q2 What is the approximate read/write ratio at the Source LUN?

Q3 Do the Source LUN disks match what the Source LUN is doing? Explain your answer.

Q4 What are the I/O sizes for the Reserved LUNs?

Q5 What is the approximate read/write ratio at the Reserved LUNs?

Q6 Do you see any difference in behavior between the Source LUNs?

Q7 What is the effect on Throughput, Bandwidth and Response Time when the Session is started? Is this what you expect to see?

Q8 Does disk activity at the Reserved LUNs match the LUN activity? Explain your answer.

Q9 How many Sessions are running simultaneously on the Source LUNs? Would you expect different performance if there were multiple Sessions? How would performance differ?




Utilization (%)

Response Time (ms)

Queue Length


Write Cache Hits/s


Write Size (kB)


Read Cache Hits/s


Read Size (kB)

ABQL





Exercise 13: Analysis of SnapView clone performance

Purpose:

View and analyze data captured from a SnapView environment

Objectives: At the end of this exercise, you will have: 1. Opened a NAR file with off-array Navisphere Analyzer 2. Viewed the file contents with different view options 3. Observed differences in LUN and disk performance 4. Analyzed SnapView clone performance

References:



Exercise 13

The Effect of SnapView Clone Size on Performance

Step Action

1 Open NAR013.nar LUNs 500 and 501, clone source LUNs, are running identical I/O patterns. A few minutes into the test, a clone is added to each LUN. LUN 600 is the clone of LUN500, and LUN 601 is the clone of LUN 501.

2 View the LUN and disk activity for the Source LUNs and the clone LUNs, and answer the questions for each.

Q1 What is the I/O size at the Source LUNs?

Q2 What is the approximate read/write ratio at the Source LUNs?


Q4 What are the I/O sizes for the clone LUNs? Do you see a difference between the clones? Why?

Q5 What is the read/write ratio at the clone LUNs?

Q6 Do you see any difference in behavior between the Source LUNs?

Q7 What is the effect on Throughput, Bandwidth and Response Time at the source LUNs when the clones are added? Is this what you expect to see?

Q8 Does disk activity at the clone LUNs match the LUN activity? Explain your answer.




Utilization (%)

Response Time (ms)

Queue Length


Write Cache Hits/s


Write Size (kB)


Read Cache Hits/s


Read Size (kB)

ABQL





Exercise 14: Analysis of ISC performance

Purpose:

View and analyze a NAR file captured from an ISC environment

Objectives: At the end of this exercise, you will have: 1. Opened a NAR file with off-array Navisphere Analyzer 2. Viewed the file contents with different view options 3. Observed differences in LUN and disk utilization 4. Analyzed ISC performance

References:



Exercise 14

Part 1 : Analyzing ISC performance

Step Action

1 Open file NAR014.nar. LUN 500 is the Source LUN, and LUNs 2000 onwards are the Reserved LUNs. The ISC session is created a few minutes after the start of the NAR file.

Q1 What is the I/O size at the Source LUN?

Q2 What is the approximate read/write ratio at the Source LUN?


Q4 What are the I/O sizes for the Reserved LUNs?

Q5 What is the approximate read/write ratio at the Reserved LUNs?

Q6 Do you see any difference in behavior between the different Reserved LUNs?

Q7 What is the effect on Throughput, Bandwidth and Response Time when the Session is started? Is this what you expect to see? Is there any effect when the Session is not actively transferring data? Where could you look to determine this? Is this what you expect to see?


Q9 How many Sessions are running simultaneously on the Source LUNs? Would you expect different performance if there were multiple Sessions? How would performance differ?




Utilization (%)

Response Time (ms)

Queue Length


Write Cache Hits/s


Write Size (kB)


Read Cache Hits/s


Read Size (kB)

ABQL





Exercise 15: Analysis of MV/S performance

Purpose:

View and analyze NAR files captured from an MV/S environment

Objectives: At the end of this exercise, you will have: 1. Opened NAR files with off-array Navisphere Analyzer 2. Viewed the file contents with different view options 3. Observed differences in LUN and disk workloads 4. Analyzed MV/S performance 5. Interpreted changes in performance

References:



Exercise 15

Part 1 : Analysis of MV/S performance

Step Action

1 Open file NAR015A.nar and NAR015B.nar. LUN 500 is the primary image (no capture was made of the secondary image). In NAR015A.nar, the CLARiiONs are connected by a 100 Mb/s iSCSI connection, while in NAR015B.nar, the connection is 2 Gb/s Fibre Channel. LUNs 3000 and 3001 are the Write Intent Log (WIL) LUNs.

Q1 What is the I/O size at the primary image LUN?

Q2 What is the approximate read/write ratio at the primary image LUN?

Q3 Do the primary image disks match what the LUN is doing? Explain your answer.

Q4 What are the I/O sizes for the WIL LUNs? Are they the same on the WIL disks? Explain your answer.

Q5 What is the read/write ratio at the WIL LUNs? Is this the same on the WIL disks? Explain your answer.

Q6 What is the effect on Throughput, Bandwidth and Response Time when the link speed is changed? Is this what you expect to see? Is there any effect when the mirror is not synchronizing? Is this what you expect to see? Would you expect a similar performance difference for MV/A? Explain your answer.




Utilization (%)

Response Time (ms)

Queue Length


Write Cache Hits/s


Write Size (kB)


Read Cache Hits/s


Read Size (kB)

ABQL





Exercise 16: Analysis of MV/A performance

Purpose:

View and analyze NAR files captured from a MV/A environment

Objectives: At the end of this exercise, you will have: 6. Opened NAR files with off-array Navisphere Analyzer 7. Viewed the file contents with different view options 8. Observed differences in LUN and disk workloads 9. Analyzed MV/A performance 10. Interpreted changes in performance

References:



Exercise 16

Part 1 : Analysis of MV/A performance

Step Action

1 Open file NAR016A.nar and NAR016B.nar. LUN 500 is the mirror LUN on each CLARiiON, and LUNs 2000 onwards are the Reserved LUNs

Q1 What is the I/O size at the primary image LUN? Is this the same at the secondary image LUN?

Q2 What is the approximate read/write ratio at the primary image LUN?

Q3 Do the primary image disks match what the LUN is doing? Explain your answer.

Q4 What are the I/O sizes for the Reserved LUNs? Are they the same on the primary and secondary CLARiiON? Explain your answer.

Q5 What is the approximate read/write ratio at the Reserved LUNs? Is this the same on both CLARiiONs? Explain your answer.

Q6 Do you see any difference in behavior between the different Reserved LUNs?

Q7 What is the effect on Throughput, Bandwidth and Response Time when the data transfer is started? Is this what you expect to see? Is there any effect when the mirror is not actively transferring data? Where could you look to determine this? Is this what you expect to see? Compare this behavior with the ISC session in Lab Exercise 14. Does this match your expectations?


Q9 How many SnapView Sessions are running simultaneously on the image LUNs? Would you expect different performance if there were multiple Sessions? How would performance differ?




Utilization (%)

Response Time (ms)

Queue Length


Write Cache Hits/s


Write Size (kB)


Read Cache Hits/s


Read Size (kB)

ABQL





Design Exercise 1

Migrating from JBOD to CLARiiON

Step Action

1 Your customer has applications running on local JBOD, and wants to move the data onto a CLARiiON. You run perfmon on their servers, and find these I/O patterns: 1500 random 4 KB IOPs with a 4:1 read:write ratio 2000 random 8 KB IOPs with a 3:1 read:write ratio 1000 sequential 64 KB IOPs with a 2:1 read:write ratio Ignore (for this calculation) the sizes of the LUNs.

Q Determine the number of physical spindles the customer will need if: a) All LUNs will be on 4+1 RAID 5 b) All LUNs will be on 4+4 RAID 1/0 c) LUNs are bound with the most appropriate RAID type Assume these numbers for 146 GB 10 krpm disks: 4 KB 150 IOPs 8 KB 140 IOPs 64 KB 100 IOPs



Notes



Design Exercise 2

Adding SnapView Snapshots to CLARiiON LUNs

Step Action

1 Your customer has applications running on a CLARiiON, and is planning to use SnapView Snapshots for nightly backups. The backups finish in 6 hours, but the customer will leave the sessions active for 24 hours. You run Analyzer, and find these host I/O patterns: 2500 random 4 KB IOPs with a 4:1 read:write ratio, and 950 GB of data 2000 random 8 KB IOPs with a 3:1 read:write ratio, and 400 GB of data 800 sequential 128 KB IOPs with a 2:1 read:write ratio, and 256 GB of data Ignore (for this calculation) the sizes of the Reserved LUNs.

Q Determine the number of additional physical spindles the customer will need if: a) All LUNs in the Reserved LUN Pool will be on 4+1 RAID 5 b) All LUNs in the Reserved LUN Pool will be on 4+4 RAID 1/0 Assume these numbers for 146 GB 10 krpm disks: 4 KB 150 IOPs 8 KB 140 IOPs 64 KB 100 IOPs



Notes



Design Exercise 3

Adding MirrorView/A to CLARiiON LUNs

Step Action

1 Your customer has applications running on a CLARiiON, and is planning to use MirrorView/A for a DR solution. The customer has an RPO of 20 minutes, and sufficient bandwidth to carry the data. You run Analyzer, and find these I/O patterns: 2500 random 4 KB IOPs with a 4:1 read:write ratio, and 950 GB of data 2000 random 8 KB IOPs with a 3:1 read:write ratio, and 400 GB of data 800 sequential 128 KB IOPs with a 2:1 read:write ratio, and 256 GB of data.

Q Determine the amount of Reserved LUN Pool space the customer will need on the local CLARiiON, and on the remote CLARiiON. Also determine how many additional spindles will be required if the RLP is on: a) 4+1 RAID 5 b) 4+4 RAID 1/0



Notes

Mr-1cp-Cperet Lab Guide r29.0.1

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