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Workload Characterization of SPECweb2005 Presentation at SPECworkshop by Rema Hariharan Ning Sun Sun Microsystems.

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Presentation on theme: "Workload Characterization of SPECweb2005 Presentation at SPECworkshop by Rema Hariharan Ning Sun Sun Microsystems."— Presentation transcript:

1 Workload Characterization of SPECweb2005 Presentation at SPECworkshop by Rema Hariharan Ning Sun Sun Microsystems

2 SPECweb2005 Banking workload – Heavy dynamic content and fully secure Ecommerce workload – Heavy dynamic content, some portion uses SSL Support workload – Heavy static download, no SSL

3 SPECweb2005_Banking Users login, check account balance/transfer money/change profile, logout Includes GETs and POST Each dynamic request followed by request for image files (static) 304 responses 2 parallel TCP connections One SSL full handshake and one reuse

4 SPECweb2005_Banking Stats Average number of SW2005_Ops in a login session = 4.6 Number of TCP connections made per login session = 2 Number of Page requests per TCP connection = 2.3 Average number of HTTP requests per SW2005_Op = 12 (average derived from design parameters) So, the average number of HTTP requests per TCP connection = 12*2.3 = 27.6 Think Time between SW2005_Ops = 9.98 sec Average number of SW2005 Ops/sec per user session = 0.149

5 SPECweb2005_Banking – Network byte stats

6 Per 1000 user session stats Banking

7 SPECweb2005_Ecommerce Based on traffic seen at one of the major Ecommerce sites selling computers Uses both http and https requests Redirects and 304 responses emulated Heavy on back-end communication Includes searches, general browsing, customization and checkout (11 distinct scripts) Product images scale with the benchmark

8 Some stats for Ecommerce workload Average number of SW2005_Ops per incoming user session = 8.8 Number of http ops per SW2005_Op = 17 Number of SW2005_Ops/s per user session supported = Fraction of sessions that enter the check-out stage = 2/3 TCP connections without check out = 2 TCP connections with check-out = 4 TCP connections/sec per user session supported = 0.035

9 Network Characteristics Ecommerce

10 Per 1000 user session stats - Ecommerce

11 Other bottlenecks for ECommerce Memory – more memory intensive than banking Performance difference between 8 GB memory configuration and 16 GB memory configuration can be substantial, 10-20% BeSim Scaling

12 SPECweb2005_Support Based on patch download/support site traffic characteristics User logs in, searches for the patch and then downloads it. Includes dynamic pages and embedded images 304 responses Download size can be as large as 35 MB – follows Zipf distribution for choice of directories and files. QOS defined separately for pages and downloads Designed to be intensive on Network and Disk IO.

13 Averages for Support workload Average number of SW2005_Ops in a login session = 14.5 Number of TCP connections made per login session = 2 Number of Page requests per TCP connection = 7.25 Average number of HTTP requests per SW2005_Op = 21 (average derived from design parameters) So, the average number of HTTP requests per TCP connection = 7.25*21 = 152 Think Time between SW2005_Ops = 4.98 sec Average number of SW2005 Ops/sec per user session = 0.013

14 Summary Stats – Support Workload

15 Network Characteristics – Support workload

16

17 Zipf Parameter Analysis for Support workload

18 Questions to answer in the future Any other characteristic to represent? Do scripts represent real world scripts? How good is the representation of the composite score, currently a relative geometric mean? Is any characteristic represented incorrectly? Are the current workloads unfairly favoring any particular type of architecture, not representing reality?


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