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Performance optimisation of webmail Mparm- popoulou, Periklis - - PowerPoint PPT Presentation

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Performance optimisation of webmail Katerina Performance optimisation of webmail Mparm- popoulou, Periklis Stefopoulos Katerina Mparmpopoulou Periklis Stefopoulos Introduction Research question Supervised by: Michiel Leenaars Approach

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SLIDE 1

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Performance optimisation of webmail

Katerina Mparmpopoulou Periklis Stefopoulos

Supervised by: Michiel Leenaars University of Amsterdam System & Network Engineering

July 3, 2013

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 1 / 21

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SLIDE 2

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Outline

1 Introduction 2 Research question 3 Approach 4 Experimental Results

User Experience System Performance

5 Conclusions

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 2 / 21

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SLIDE 3

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Webmail System Components

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 3 / 21

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SLIDE 4

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Research purpose

  • Hundreds of millions of end users depend on Webmail

technologies

  • Open source web frontends to mail servers are an often

neglected area of development

  • Better understanding the performance of web mail

applications is a prerequisite to better tuning these applications

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 4 / 21

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SLIDE 5

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Research Question What are the bottlenecks, in terms of performance, of current Webmail implementations and which could be the most optimal solution?

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 5 / 21

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SLIDE 6

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Experimental Environment

Webmail Frontends

  • Squirrelmail
  • Roundcube
  • Horde IMP
  • Afterlogic Webmail Lite

Webmail Backends

  • Courier - Postfix - Amavis - ClamAv - SpamAssassin
  • Dovecot - Postfix - Amavis - ClamAv - SpamAssassin
  • Cyrus - Postfix - Amavis - ClamAv - SpamAssassin

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 6 / 21

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SLIDE 7

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Experiments

5 users with different mailbox size

  • 1500 messages with only text
  • 1500 messages with attachments plus text
  • 3000 messages with only text
  • 4500 messages with only text
  • 6000 messages with only text

3 different user actions

  • Log in to Webmail
  • Searching a keyword from the ”Subject” field
  • Searching a keyword from the entire message content

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 7 / 21

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SLIDE 8

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Metrics

Metric Extraction method Latency tcpdump/Wireshark CPU time 1 systat/sar Unique Set Size (USS) smem Proportional Set Size (PSS) smem

Table: Benchmark metrics and their extraction method

1CPU time = CPU utilization ∗ elapsed time ∗ number of CPUs Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 8 / 21

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SLIDE 9

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Figure: average fetching time during login

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 9 / 21

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Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 10 / 21

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SLIDE 11

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 11 / 21

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SLIDE 12

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Figure: Comparison of the most effective Solutions regarding searching from ”Subject”

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 12 / 21

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SLIDE 13

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 13 / 21

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SLIDE 14

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 14 / 21

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SLIDE 15

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Figure: Comparison of the most effective Solutions regarding searching from Entire Message content

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 15 / 21

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SLIDE 16

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 16 / 21

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SLIDE 17

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Figure: users search a keyword from the Entire Message Content: CPU time consumption for Dovecot and Courier IMAP backends

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 17 / 21

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SLIDE 18

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Figure: average memory consumption

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 18 / 21

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SLIDE 19

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Conclusions

  • Afterlogic achieves shortest latencies in searching
  • Horde IMP has the longest response times
  • Dovecot and Cyrus carry out the search from ”Subject”

request efficiently and with relatively the same latency

  • Cyrus is the IMAP backend that performs the best during

search from the entire message

  • Cyrus has the lowest CPU utilization and the highest

average memory consumption for all IMAP functions, followed by Dovecot

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 19 / 21

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SLIDE 20

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Answering the Research Question

What are the bottlenecks, in terms of performance, of current Webmail implementations?

  • The major bottleneck in an integrated webmail system is

the IMAP backend

which could be the most optimal solution?

  • the solution of using Cyrus IMAP combined with

Afterlogic Webmail Lite performs better in terms of both user experience and system overall performance

Katerina Mparmpopoulou, Periklis Stefopoulos Performance optimisation of webmail July 3, 2013 20 / 21

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SLIDE 21

Performance

  • ptimisation
  • f webmail

Katerina Mparm- popoulou, Periklis Stefopoulos Introduction Research question Approach Experimental Results

User Experience System Performance

Conclusions

Questions

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