Specification and Implementation of Dynamic Web Site Benchmarks. Sameh Elnikety Department of Computer Science Rice University

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1 Specification and Implementation of Dynamic Web Site Benchmarks Sameh Elnikety Department of Computer Science Rice University 1

2 Dynamic Content Is Common

3 Generating Dynamic Content http Web Server Dynamic Content Generator Database Server 3

4 DynaServer Project Scale Performance of Dynamic Content Sites Caching Clustering Replication Dynamic content delivery networks 4

5 Motivation We Need Workloads to Evaluate Different Architectures No Workloads for Dynamic Content 5

6 Online Bookstore Models amazon.com Benchmarks Auction Site Models ebay.com Bulletin Board Models slashdot.org Common Applications Stress Different Parts of the System 6

7 Online Bookstore Contributions Followed TPC-W specification Wrote implementation Auction Site Developed specification & implementation Bulletin Board Developed specification & implementation 7

8 Benchmarks Online Bookstore Auction Site Bulletin Board Outline Bottleneck Characterization Experimental Setup Measurement Performance Results 8

9 Online Bookstore Benchmark Models amazon.com Follows TPC-W (TPC Feb 2000) Activities Browsing, buying, administrative updates Persistent Data Images in Web server file system All others in database 9

10 Online Bookstore Benchmark Image Promotion Shopping Cart Next Interaction 10

11 Online Bookstore Benchmark 14 Interactions (as specified in TPC-W), e.g. Home Best sellers Secure payment Shopping cart Workload Mixes (as specified in TPC-W) Browsing (95% read-only) Shopping (80% read-only) Ordering (50% read-only) 11

12 Auction Site Benchmark Models Ebay.com Activities Browsing, selling, bidding User Sessions Visitor, seller, buyer Persistent Data Images in Web server file system All others in database 12

13 Auction Site Benchmark 26 interactions Browsing by category Bidding Buying Selling Leaving comments User page Workload Mixes Browsing (100% read-only) Bidding (85% read-only) 13

14 Bulletin Board Benchmark Models Slashdot.org Activities Discussion thread (story & comments) Ratings User sessions Visitor, moderator Persistent Data Images in Web server file system All others in database 14

15 Bulletin Board Benchmark 24 interactions Browsing by category Submit new story Search story titles Display story & filter comments No Full Text Search Workload Mixes Browsing (100% read-only) Submission (85% read-only) 15

16 Bottleneck Characterization Experimental Setup Measurement Performance Results 16

17 Software http Web Server Dynamic Content Generator Database Server http Apache PHP sql MySQL 17

18 Hardware http Apache PHP sql MySQL CPU Memory Disk Network AMD Athlon 1.33GHz 768MB 60GB, 9msec, 5400rpm 100Mbps Ethernet 18

19 Throughput Performance Metric Number of interactions per minute 19

20 Web Server Database Resources Monitored CPU Memory Disk Network 20

21 Emulated Clients Emulated Clients http Apache PHP sql MySQL Java Emulator Session duration Think time Markov model 21

22 Measurement Driving the System Several clients Ramp-up time Steady-state measurement 22

23 Online Bookstore Benchmark Throughput 23

24 Bookstore CPU Utilization (Shopping Mix) 24

25 Bookstore Resources (Shopping Mix) Resource CPU Memory Disk Network Web Server 30% 200 MB <20 block/s Mb/s Database 71% 390 MB <20 block/s 0.6 Mb/s Conclusion Database CPU is the bottleneck 25

26 Auction Site Benchmark Throughput 26

27 Auction CPU Utilization (Bidding Mix) 27

28 Auction Resources (Bidding Mix) Resource CPU Memory Disk Network Web Server 100% 70 MB <20 block/s Mb/s Database 58% 250 MB <20 block/s 2 Mb/s Conclusion Web Server CPU is the bottleneck 28

29 Bottlenecks Online Bookstore Models amazon.com CPU of Database Bidding Models ebay.com Bulletin Boards Models slashdot.org CPU of Web Server CPU of Web Server 29

30 3 Benchmarks Conclusions Online bookstore, auction site, bulletin board Open-source software Available implementations (PHP, Servlets, EJB) Capacity Planning Research on Dynamic Content 30

31 Collaborators Cristiana Amza, Anupam Chanda, Alan Cox, Romer Gil, Willy Zwaenepoel Department of Computer Science - Rice University Emmanuel Cecchet, Julie Marguerite INRIA Rhône - Alpes Karthick Rajamani IBM Austin Research Lab 31

32 Download the Benchmarks Benchmark Implementations in PHP Servlets EJB 32

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