This document lays out the performance benchmark results for the Hitachi Solutions Ecommerce application.

1. Performance Benchmark for Online
Store Traffic Volume –
Hitachi Solutions Ecommerce

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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

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 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.

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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.