Performance Benchmark for Online Store Traffic Volume – Hitachi Solutions Ecommerce

Global: Toronto Manila Pune Singapore Bangalore Kuala Lump

Page | 2

Hitachi Solutions Ecommerce serves 125,000 page views and 3,500 orders in an hour on commodity hardware Hitachi conducted a benchmark to simulate online

store performance for demonstrating how catalog

browsing and order placement processes scale

under a heavy load with a large size database on

commodity hardware. A 4-core server with 16GB

RAM and a single SATA hard drive in RAID1 array was

able to serve 125,000 page views and 3,500 orders in

an hour.

2 web servers with the same database server will handle up to 250,000 page views and 7,000 orders per hour.

HIGH LEVEL RESULT SUMMARY

The benchmark demonstrated that the online store

architecture scales significantly without any

performance bottlenecks.

125,000 pages viewed in an hour.

3,500 orders of 3 lines each received in an hour.

3,700 search requests served in an hour, each

request resulted in an average of 2,500 search

results.

We simulated the following activities in the

environment. The diagram below shows the activity

flow that we simulated in the environment.

Fig.1.0 Hitachi Solutions Ecommerce Transaction Flow

THROUGHPUT MEASUREMENTS

Scenarios Concurrent users load

Peak hours

Volume per minute

Page View Count 1100 1 2080

Order Placement 1100 1 58

Keyword Search 1100 1 61

RESPONSETIME MEASUREMENTS Request Avg. Response (ms)

Home Page 83

Keyword Search 275

Category Product Listing 84

Product Details 391

Add Item to Cart 271

View Cart 19

Login 569

Shipping Address Information 261

Shipping Quotation 301

Billing Address Information 137

Payment Information 865

Order Completion 44

The average checkout response time was 3 seconds.

UTILIZATION SUMMARY

This section shows the performance characteristics

of application server and database server instances

that were running on workloads.

Application Server Statistics Measure Benchmark

Average CPU Utilization 80%

Peak Memory Utilization 39%

Average Response Time 297ms

Database Server Statistics Measure Benchmark

Average CPU Utilization 19%

Peak Memory Utilization 84%

Average Response Time 12ms

HARDWARE CONFIGURATIONS

Application Server Hardware Specification

USA: Los Angeles Silicon Valley Seattle Nashville Phoenix pur

Page | 3

Single Application Server hosting IIS 7 and

Hitachi Solutions Ecommerce Online store

Microsoft Virtual Machine

X64-based PC

Intel(R) Xeon(R) CPU X7550 @ 2.00GHz 1994

Mhz, 4 Core(s), 4 Logical Processor(s)

Windows Server 2008 R2 Enterprise 64 bit

16GB RAM

Database Server Hardware Specification

Single Database Server hosting SQL Server 2008

R2

Dell PowerEdge R410

X64-based PC

Intel(R) Xeon(R) CPU E5506 @ 2.13GHz 2128

Mhz, 4 Core(s), 4 Logical Processor(s)

Microsoft Windows Server 2008 Enterprise SP1

16GB RAM

Database Disk Configuration

SATA RAID1 HDD 750GB

2 Local Disks in RAID1

7,200 RPM (Revolutions Per Minute)

BENCHMARK DATA COMPOSITION

The benchmark ran on a 16GB database (excludes

logs) running with uncompressed data. The system

was configured as follows:

500,000 items in the catalog across 800

categories

500,000 customers with 2,500,000 addresses

175,000 price trade agreements

10,000 promotional offers

800,000 orders with total 2,000,000 lines

BENCHMARK METHODOLOGY

The Load Storm was used to generate load, which simulates real user behaviors like logging in, purchasing, clicking links, and browsing the site.

The New Relic was used to monitor the environment that records necessary measurements during the load.

Fig.2.0 Performance Benchmark Runtime Architecture

Measurements were recorded on single application

and database servers. The benchmarks were taken

when the concurrency reached to the steady state.

The steady state was maintained for an hour with

linear load in repeated runs. Scenarios were

considered successful when the deviation among

consecutive 3 runs for response time and

throughput was 3% or less.

RECOMMENDATIONS

Given the low utilization of the database server,

additional web servers can be used to scale up the

capacity of the online store. For example:

250,000 page views can be served and 7,000

orders can be placed in an hour using 2 web

servers and the same database server.

37,000 search requests can be served in an hour

using 10 web servers and the same database

server.

USA: Los Angeles Silicon Valley Seattle Nashville Phoenix pur

Page | 4

DISCLAIMER

These benchmark results were performed in a controlled lab environment in which Hitachi Solutions Ecommerce

was the only running application (that is, no other applications were running on these servers). Performance tests

and ratings reflect the approximate performance of Hitachi Solutions Ecommerce. Any difference in system

hardware, software design or configuration, customizations, transaction mix, data composition, or indexes may

affect actual performance. The transaction mix and data composition affects sizing and hardware requirements.

Inherently, Hitachi believes that the Hitachi Solutions Ecommerce stack and application are built to scale, and

changes to the code base need to go through localized performance testing. A customer or partner should consult

other sources of information to evaluate the performance of systems or components they consider purchasing.