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An Oracle White Paper

April 2010

MySQL Cluster for Web and E-CommerceApplications: Growing Revenues andEnhancing Customer Loyalty


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Oracle White PaperMySQL Cluster for Web and E-Commerce Applications

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Introduction ......................................................................................... 13

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The Increasing Demands of Web and E-Commerce Applications...... Using Databases to Achieve High Availability and Scalability.........

Introducing the MySQL Cluster Carrier Grade Edition Database........ Identifying Target Applications for MySQL Cluster .........................

Use Cases for MySQL Cluster in Web and E-Commerce Applications MySQL Cluster for E-Commerce Applications................................ MySQL Cluster for Social Networking Applications ...................... MySQL Cluster for Online Content Delivery.................................. MySQL Cluster for Service Access, Authorization,and Monetization...........................................................................

Advantages of MySQL Cluster for Web and E-CommerceApplications......................................................................................

Achieving High Availability with MySQL Cluster............................ Achieving High Performance and Linear Scalability withMySQL Cluster.............................................................................. Flexible Data Access..................................................................... Simplified Management and Monitoring........................................

Complementary MySQL Technologies for Web and E-CommerceApplications.......................................................................................

Using the MySQL Pluggable Storage Engine Architecture toMeet Diverse Application Needs ................................................... Using MySQL Clusters Flexible Replication for Online

Applications................................................................................... MySQL Cluster Case Studies in Web and E-Commerce

Applications....................................................................................... E-Commerce Case Study 1: Shopatron........................................ E-Commerce Case Study 2: Leading European Online MailOrder Company............................................................................. Social Networking Case Study: Zillow.com................................... Online Content Delivery Case Study: kurier.at..............................


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Service Access and Authorization Case Study: Bredbandsbolaget(B2)/Telenor .................................................................................. 26

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Conclusion ........................................................................................ Appendix A: Additional Resources....................................................


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Introduction

As organizations bring more of their operations to the Web, from e-commerce storefronts to

content delivery services and user collaboration, the pressure to keep systems running

continuously has never been higher. Services must be delivered with the highest and most

predictable levels of availability and performance, sustained even under the heaviest peak

loads, to ensure a quality customer experience and to cement loyalty.

The most successful businesses built on the Web live on the principle of failing fast, scaling

fast. This principle dictates that the operational environment will be a key differentiator in the

success of service adoption and monetization over the Web. Services are required to fail over

and scale transparently without any disruption to the consumer. The ability to handle explosive

growth in user volume, transactions, and storage capacity is critical to delivering online

services over a Web-based platform.

For many online applications such as e-commerce, information and access to it forms not onlythe infrastructure of the application but also the entire revenue model of the business. With the

emergence of highly participative Web 2.0 technologies, new generations of online

applications are dependent on having fast and constantly available access to data. Such data

enables the online experience of users to reflect, in real time, their own preferences, history,

and requirements as well as ensuring a seamless and reliable experience as services are

consumed and transactions are committed over the Web.

MySQL offers a range of technologies to deliver high availability (HA) and scalability, and one

that has become increasingly relevant to specific use cases in Web and e-commerce

applications is the MySQL Cluster database.

MySQL Cluster Carrier Grade Edition has proven itself as the HA database of choice for

mission-critical telecommunications applications where 99.999 percent availability and

real-time performance are key requirements. MySQL Cluster is now seeing rapid adoption by

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providers of Web applications and services in areas such as e-commerce, social networking,

content delivery, and real-time data analytics. These services demand databases

characterized by their ability to support

! 99.999 percent availability to minimize both planned and unplanned downtime

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Extreme levels of real-time read/write performance with predictable ultralow-latencyresponse times

! Dynamic scalability to handle the most-unpredictable volumes of users and transactions

The purpose of this white paper is to explore the increasing demands being placed on

databases to support Web and e-commerce applications. It presents an overview of the

MySQL Cluster database, demonstrating capabilities designed to meet the needs described

above. It also discusses sample workloads and real-world use cases, enabling you to

understand the types of Web applications that benefit from the use of MySQL Cluster.

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The Increasing Demands of Web and E-Commerce Applications

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Figure 1. This chart maps availability against downtime.

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Using Databases to Achieve High Availability and Scalability

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Minimizing Planned and Unplanned Downtime

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TABLE 1. DIFFERENTIATING PLANNED FROM UNPLANNED DOWNTIME

PLANNED DOWNTIME UNPLANNED DOWNTIME

Hardware upgrades Hardware component failure

Software upgrades Software bugs and crashes

Bug fixes Operator error and malicious code

Backup routines Datacenter failure (physical disaster)

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Fast Failover and Recovery

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We have experienced two instances of hardware failure over the past couple of years. MySQL Cluster was able to instantly fail

over, avoiding any service interruption to our users. When we added replacement hardware, MySQL automatically

resynchronized it with the rest of the cluster, with no intervention from my team. It is an awesome technology.

Dave Dalrymple, VP Engineering, Shopatron Inc.

Performance

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Scalability

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!

Weve always known that our capacity to handle rapid Web traffic growth would be critical to the success of Zillow. We selected

MySQL Cluster as a low-cost, high-throughput database with easy scalabilityand it has delivered. MySQL Cluster has

enabled us to manage our growth smoothly and cost-effectively and intelligently plan for future expansion.

Brian Milnes, Director of IT Operations, Zillow.com

Scaling Up

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Scaling Online

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Introducing the MySQL Cluster Carrier Grade Edition Database

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!

!

Figure 2. The MySQL Cluster architecture eliminates any single point of failure.

!

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!

Identifying Target Applications for MySQL Cluster

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TABLE 2. IDENTIFYING THE OPTIMAL APPLICATION FIT FOR MYSQL CLUSTER

GOOD FIT FOR MYSQL CLUSTER COMPLEMENT WITH OTHER MYSQL STORAGE ENGINES

Fast write throughput with low-latency response Database size of more than 2 TB

99.999 percent availability with subsecond failover and

automatic recovery

Rows demanding more than 8 KB of memory and 128 fields

Unpredictable scalability demands Requirement to store objects larger than 2 MB

Mainly primary key access, or subcomponents of multifield

primary key

Full table scans with complex joins

Simple table joins Foreign key support

!

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Use Cases for MySQL Cluster in Web and E-CommerceApplications

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MySQL Cluster for E-Commerce Applications

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!

Figure 3. This figure illustrates the anatomy of an e-commerce application.

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!

TABLE 3. FOR THE PREVIOUS EXAMPLE, THE BEST CANDIDATES FOR MYSQL CLUSTER MANAGEMENT

APPLICATION TYPE DATA ACCESS METHOD DATA CHARACTERISTICS DATA REQUIREMENTS

User data Primary keyuser ID Read- and write-intensive(activity accounting, purchase

history, order status)

HA, real-time access

Product codes and

availability

Primary keyproduct

code

Read- and write-intensive HA, real-time access, scalability for

simultaneous users and updates

Session management Primary key (session

ID, user ID)

Write-intensive Subsecond failover, write scalability,

real-time data access

Orders and payments Primary key (user ID) Read- and write-intensive HA, subsecond failover, write scalability,


!

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!

TABLE 4. FOR THE PREVIOUS EXAMPLE, THE BEST CANDIDATES FOR MYSQL CLUSTER MANAGEMENT


User profile Primary keyuser name Read-intensive HA, real-time access

Status updates Primary keyuser name Write-intensive HA, real-time access

MySQL Cluster for Online Content Delivery

In comparison to other solutions, MySQL Cluster is superior to other databases in terms of maintenance, safety, stability,

scalability, and reliability.

Jo Rogner, Technical Manager, KURIER.at

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!

TABLE 5. THE COMPONENTS OF A CMS


User data and user

authorization

Primary keyuser ID Read-intensive HA, real-time access

Content catalog Primary keysubject, Read-intensive HA, real-time access, scalability for

!!

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author simultaneous users

Session management Primary key (session

ID, user ID)

Write-intensive Subsecond failover, write scalability,


Online transaction

processing (OLTP)

Primary key (user ID) Read- and write-intensive HA, subsecond failover, write scalability,


!

MySQL Cluster for Service Access, Authorization, and Monetization

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MySQL Cluster delivers the high availability that enables us to guarantee continuous broadband internet access and VoIP

services to our subscribers. This has had an immediate impact on significantly improving customer satisfaction and has reduced

the cost of operating our network.

Lars-Ake Norling, B2, Telenor

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TABLE 6. THE COMPONENTS OF AN AAA AND LDAP INFRASTRUCTURE THAT MYSQL CLUSTER CAN MANAGE


User authentication Primary keyinternal

LDAP user identifier

Read-intensive HA, real-time access, high scalability for

simultaneous user access

User authorization Primary keyinternal


Read-intensive HA, real-time access

User accounting Primary keyinternalLDAP user identifier

Write-intensive Subsecond failover, write scalability,real-time data access

LDAP access and

updates

Primary keyinternal


Read-intensive (write volumes

growing)

HA, scalability, real-time data access

Advantages of MySQL Cluster for Web and E-CommerceApplications

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!

TABLE 7. MYSQL CLUSTER MEETS THE TOUGHEST CHALLENGES OF WEB-BASED APPLICATIONS

REQUIREMENT OF ONLINE APPLICATION MYSQL CLUSTER CAPABILITY

High reliability and HA ! Support for atomic, consistent, isolated, durable (ACID) transactions

! Distributed shared-nothing architecture

! Synchronous data replication

! Automated subsecond failover

!!

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!

! Automatic recovery and data synchronization

! Local and global checkpoints to disk for durability

! Geographic replication between clusters

! Online upgrades

! Online add nodes

! Online backup

! HA consulting

! 24/7 technical support

! Professional training and certification

Performance and scalability ! Hybrid in-memory and disk-based storage

! Parallel server architecture for high read/write performance

! Automatic data partitioning enabling load balancing

! Distributed database for scaling out

! Multithreaded data nodes for scaling up

! Online add nodes for on-demand scaling

Interoperability ! Worlds most popular open source database

! Support for multiple hardware platforms and operating systems

! SQL and native APIs: Java/JPA, C++, LDAP, HTTP for data access

! Support for full range of MySQL Connectors

Low TCO ! Open source freedom, standards, and economics

! Low-cost service offerings

! Ability to run on commodity hardware, including rackmounts and blades

! Elimination of costly shared storage

! Simplified monitoring and management

Achieving High Availability with MySQL Cluster

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Figure 5. Geographic replication provides multisite protection for critical online applications.

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17


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!Figure 6. MySQL Cluster achieves more than 250,000 TPM, or 125,000 operations per second, with an average latency of only 1.5 milliseconds.

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!

MySQL Cluster has enabled us to meet our demands for scalability, performance, and continuous uptime, at a much lower cost

than proprietary technologies. We would be dead in the water without it.

Richard McCluskey, Senior Engineer, go2 Media

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!

Flexible Data Access

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http://www.clusterdb.com/mysql-cluster/mysql%C2%ADcluster-data-node-restart-times/http://www.clusterdb.com/mysql-cluster/mysql%C2%ADcluster-data-node-restart-times/http://www.clusterdb.com/mysql-cluster/mysql%C2%ADcluster-data-node-restart-times/http://www.clusterdb.com/mysql-cluster/mysql%C2%ADcluster-data-node-restart-times/http://www.clusterdb.com/mysql-cluster/mysql%C2%ADcluster-data-node-restart-times/http://www.clusterdb.com/mysql-cluster/mysql%C2%ADcluster-data-node-restart-times/


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Complementary MySQL Technologies for Web and E-CommerceApplications

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(#',3%7!,'*'!4$#2!Z)[_C!V(6.*&$!*'5(&.!3%*#!,'*'5'.&!&%73%&.!#1*323M&,!4#$!-#21(&R!U6&$)!'%'().3.!

'%,!56.3%&..!$&1#$*3%7:!!

C&'$%!2#$&!'5#6*![0#1'*$#%T.!&R1&$3&%-&.!+3*0!Z)[_C!V(6.*&$!5)!$&',3%7!*0&!-'.&!.*6,)!'%,!(3.*&%3%7!

*#!*0&!#%?,&2'%,!9&53%'$!1#.*&,!'*!2).U(:-#2N-6.*#2&$.N83&+Nf3,oEHIH:!!

E-Commerce Case Study 2: Leading European Online Mail Order Company

B03.!#$7'%3M'*3#%!('6%-0&,!3*.!&?-#22&$-&!.0#113%7!.3*&!3%!EPPe!'%,!0'.!5&-#2&!#%&!#4!*0&!('$7&.*!

#%(3%&!$&*'3(3%7!-#21'%3&.!3%!S6$#1&/!$&-&383%7!23((3#%.!#4!83.3*#$.!&'-0!,')!'%,!.*#-D3%7!.&8&$'(!

06%,$&,!*0#6.'%,!3*&2.!4#$!#%(3%&!16$-0'.&:!!

9&5.3*&!1&$4#$2'%-&/!.-'('53(3*)/!'%,!$&(3'53(3*)!'$&!-$3*3-'(!*#!*0&!-#21'%)T.!.6--&..:!>*!*0&!-#$&!#4!*0&!

&?-#22&$-&!.3*&!3.!*0&!9&5!.&..3#%!2'%'7&2&%*!'11(3-'*3#%:![&..3#%!2'%'7&2&%*!3.!$&U63$&,!5)!'((!

#%(3%&!.0#113%7!'11(3-'*3#%.!4#$!.&-6$&()!2'%'73%7!6.&$!1$#43(&!3%4#$2'*3#%!'%,!&?-#22&$-&!.0#113%7!

-'$*!'11(3-'*3#%.:!!

B0&!#%(3%&!$&*'3(&$!+'.!6.3%7![ZL!.&$8&$.!*#!.*#$&!6.&$!1$#43(&.!'%,!2'%'7&!.&..3#%!,'*':!B#!',,!

',,3*3#%'(!-'1'-3*)!*#!2&&*!*0&!61-#23%7!V0$3.*2'.!.0#113%7!,&2'%,/!*0&!-#21'%)!0',!*#!',,!

-'1'-3*)!*#!3*!9&5.3*&:!>*!*0&!.'2&!*32&/!3*!%&&,&,!*#!43%,!'!+')!*#!2'D&!5&**&$!6.&!#4!3*.!43%'%-3'(!

$&.#6$-&.!5)!(#+&$3%7!-'13*'(!&R1&%,3*6$&.!'%,!#1&$'*3%7!-#.*.!'%,!321$#83%7!4(&R353(3*):!B0&!$&*'3(&$!

+'.!'5(&!*#!$&'-0!*03.!7#'(!5)!$&1('-3%7!3*.!1$#1$3&*'$)!.-'(&?61!&%83$#%2&%*!+3*0!Z)[_C!V(6.*&$!

$6%%3%7!#%!'!7$3,!#4!-#22#,3*)!A%*&(?5'.&,!5(',&!.&$8&$!0'$,+'$&:!!

B0&!Z)[_C!V(6.*&$!321(&2&%*'*3#%!,&(38&$.!*0&!1&$4#$2'%-&/!'8'3('53(3*)/!'%,!.-'('53(3*)!%&-&..'$)!*#!

&%'5(&!-6.*#2&$.!*#!&%Y#)!'!1#.3*38&!#%(3%&!.0#113%7!&R1&$3&%-&:!L(6./!6.3%7!Z)[_C!V(6.*&$/!*0&!

-#21'%)!3.!'5(&!*#!321(&2&%*!$&*'3(!2&$-0'%,3.3%7!*#!61?.&((!'%,!-$#..?.&((!',,3*3#%'(!1$#,6-*.!'%,!

.&$83-&.!5'.&,!#%!-6.*#2&$!.0#113%7!5&0'83#$:!!

24


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!

Z)[_C!V(6.*&$!3.!*0&!0370()!'8'3('5(&!$&1#.3*#$)!4#$!,)%'23-!.&..3#%!,'*':!a)!*$'-D3%7!6.&$!'-*383*)/!*0&!

$&*'3(&$!3.!'5(&!*#!1$#83,&!4'.*!'%,!&'.)!%'837'*3#%!'%,!&%.6$&!*0'*!6.&$.!-'%!.2##*0()!-#21(&*&!'%!!

&?-#22&$-&!*$'%.'-*3#%:!B0&!$&*'3(&$!6%,&$.*'%,.!*0'*!(&%7*0)!+'3*!*32&.!0'8&!'!%&7'*38&!321'-*!#%!*0&!

6.&$!&R1&$3&%-&!'%,!'!,3$&-*!&44&-*!#%!$&8&%6&.:!>(*0#670!*0&!.&..3#%!,'*'!3.!.*#$&,!#%!*0&!-(6.*&$!4#$!

#%()!.0#$*!'2#6%*.!#4!*32&/!*0&!-#21'%)!$&(3&.!#%!*0&!1&$4#$2'%-&!#4!Z)[_C!V(6.*&$!4#$!

3%.*'%*'%.!$&',!'%,!+$3*&!,'*'!#1&$'*3#%.:!!

=%&!#4!*0&!$&*'3(&$T.!$&U63$&2&%*.!+'.!*0&!4(&R353(3*)!*#!-#.*?&44&-*38&()!7$#+!3*.!3%4$'.*$6-*6$&:!B0&!

Z)[_C!V(6.*&$!1'$'((&(!.&$8&$!'$-03*&-*6$&!&%'5(&.!.-'('53(3*)!3%!'!(3%&'$!4'.03#%/!2'D3%7!3*!1#..35(&!4#$!

*0&!-#21'%)!*#!2'D&!3%-$&2&%*'(!3%8&.*2&%*.!*#!3%-$&'.&!-'1'-3*)!'.!3*.!%&&,.!7$#+:!!

B0&!$&*'3(&$!%&&,.!*#!&%.6$&!*0'*!-6.*#2&$.!-'%!'(+').!5$#+.&/!.&'$-0/!'%,!1('-&!#$,&$./!&.1&-3'(()!

6%,&$!1&'D!(#',.:!Z)[_C!V(6.*&$!6.&.!.)%-0$#%#6.!$&1(3-'*3#%!*#!$&1(3-'*&!.&..3#%!,'*'!'-$#..!26(*31(&!

,'*'5'.&!%#,&.:!A4!'!,'*'5'.&!%#,&!4'3(./!*0&!'11(3-'*3#%!+3((!-#%*3%6&!6%3%*&$$61*&,!.#!-6.*#2&$.!-'%!

-#21(&*&!*0&3$!*$'%.'-*3#%.!.6--&..46(():!!

a)!-#253%3%7!'!.-'(&?#6*!2&*0#,#(#7)!+3*0!#1&%!.#6$-&!.#4*+'$&!'%,!-#22#,3*)!-#21#%&%*./!*0&!$&*'3(&$!0'.!5&&%!'5(&!*#!(#+&$!-#.*.!'%,!'--&(&$'*&!@=A!+03(&!321$#83%7!*0&!-6.*#2&$!&R1&$3&%-&:!!

Social Networking Case Study: Zillow.com

p3((#+:-#2!3.!#%&!#4!*0&!2#.*!83.3*&,!$&'(!&.*'*&!-#226%3*3&.!+0&$&!0#2+%&$./!56)&$./!.&((&$./!'%,!

$&'(!&.*'*&!'7&%*.!-'%!43%,!'%,!.0'$&!83*'(!3%4#$2'*3#%!'5#6*!0#2&.!4#$!4$&&:!C'6%-0&,!3%!&'$()!OHHh!*#!

1$#83,&!\p&.*32'*&]!8'(6&.!'%,!,'*'!#%!23((3#%.!#4!^:[:!0#2&./!p3((#+!0'.!.3%-&!#1&%&,!61!*0&!.3*&!*#!

-#226%3*)!.#-3'(!%&*+#$D3%7!3%16*/!,'*'/!'%,!,3'(#76&:!p3((#+T.!7#'(!3.!*#!0&(1!1(&!5&-#2&!2#$&!

3%4#$2&,!'5#6*!$&'(!&.*'*&


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!

>.!'!$&.6(*!#4!3*.!.6--&..!+3*0!Z)[_C!V(6.*&$/!p3((#+!3.!-#%*3%63%7!*#!&8'(6'*&!*0&!,'*'5'.&!4#$!%&+!

'11(3-'*3#%.!*0'*!-#6(,!5&%&43*!4$#2!'%!'44#$,'5(&!.-'(&?#6*!'$-03*&-*6$&:!!

C&'$%!2#$&!'5#6*!p3((#+T.!&R1&$3&%-&.!3%!*03.!-'.&!.*6,)K!2).U(:-#2N-6.*#2&$.N83&+Nf3,oPHI:!!

Online Content Delivery Case Study: kurier.at

Z#$&!*0'%!#%&!23((3#%!>6.*$3'%.!$&',!?8#2$#!#%!*0&!3%*&$%&*/!2'D3%7!D6$3&$:'*!#%&!#4!*0&!2#.*!

.6--&..46(!%&+.!9&5.3*&.!3%!*0&!`&$2'%?.1&'D3%7!+#$(,:!B0&!3%*&$%&*!1$&.&%-&!#4!>6.*$3'T.!('$7&.*!

U6'(3*)!%&+.1'1&$!1$#83,&.!&,3*#$3'(!%&+.!'%,!-#21$&0&%.38&!3%4#$2'*3#%!'$#6%,!*0&!-(#-D:!>.!*0&!

9&5!.611(&2&%*!*#!*0&!,'3()!%&+.1'1&$/!q6$3&$:'*!1$#83,&.!',,3*3#%'(!Od?0#6$!%&+.!61,'*&.!'%,!

3%*&$'-*38&!#%(3%&!#1*3#%.:!!

90&%!*0&!D6$3&$:'*!9&5.3*&!+'.!5&3%7!563(*/!'!$&(3'5(&!'%,!0370?1&$4#$2'%-&!,'*'5'.&!.#(6*3#%!+'.!

$&U63$&,!4#$!*0&!2'%'7&2&%*!#4!6.&$!,'*'!'%,!.&..3#%.:!L'$*3-6('$()!'7'3%.*!*0&!5'-D7$#6%,!#4!*0&!*370*!

43.-'(!1$&..6$&!#4!#%(3%&!2&,3'/!.#2&!1$#,6-*.!+&$&!&R-(6,&,!4$#2!*0&!#6*.&*!4#$!-#.*!$&'.#%.:!

>11$#R32'*&()!*0$&&!)&'$.!'7#/!D6$3&$:'*!,&-3,&,!3%!4'8#$!#4!'!.#(6*3#%!5'.&,!#%!*0&!Z)[_C!V(6.*&$!,'*'5'.&:!=%&!#4!*0&!2#.*!321#$*'%*!7#'(.!4#$!*0&!,&8&(#1&$.!+'.!*#!321(&2&%*!'!0370()!4(&R35(&!

.).*&2!*0'*!3%8#(8&,!%#!',,3*3#%'(!-#.*.!'.!*0&!.&$83-&!&8#(8&,!'%,!.-'(&,:!!

"#$!2#$&!*0'%!EH!)&'$./!D6$3&$:'*!0',!5&&%!6.3%7!Z)[_C!'.!'!,'*'5'.&!.&$8&$:!V&%*$'(3M&,!9&5!

.&$83-&.!.6-0!'.!.&..3#%!2'%'7&2&%*/!6.&$!,'*'/!'%,!*0&!3%?0#6.&!VZ[!'$&!0#.*&,!#%!Z)[_C!.&$8&$.:!

^.3%7!Z)[_C!V(6.*&$!4#$!*0&!-&%*$'(!(#73%!'%,!6.&$!,'*'!'$&'!#4!D6$3&$:'*!1$#8&,!.61&$3#$!*#!6.3%7!

.#(6*3#%.!4$#2!#*0&$!1$#83,&$./!3%!*&$2.!#4!2'3%*&%'%-&/!.*'53(3*)/!.-'('53(3*)/!'%,!$&(3'53(3*):!V6$$&%*()!

Z)[_C!V(6.*&$!3.!6.&,!*#!2'%'7&!2#$&!*0'%!EeH/HHH!6.&$.g!*$'-D!2#$&!*0'%!#%&!23((3#%!1'7&!83&+.!

&8&$)!,')g!'%,!0'%,(&!321#$*'%*!*$'%.'-*3#%./!.6-0!'.!%&+.1'1&$!.65.-$31*3#%./!*0'*!'$&!1$#-&..&,!

#%(3%&:!!

C&'$%!2#$&!'5#6*!?8#2$#T.!&R1&$3&%-&.!3%!*03.!-'.&!.*6,)K!2).U(:-#2N-6.*#2&$.N83&+Nf3,oPPI:!!

Service Access and Authorization Case Study: Bredbandsbolaget (B2)/Telenor

aO/!1'$*!#4!*0&!B&(&%#$!7$#61/!3.!#%&!#4![+&,&%T.!('$7&.*!5$#',5'%,!3%*&$%&*!1$#83,&$./!&%Y#)3%7!*0&!

2#.*!.'*3.43&,!6.&$!5'.&!3%!*0&!-#6%*$)/!'--#$,3%7!*#!3%,&1&%,&%*!.6$8&).:!"#((#+3%7!2'Y#$!3%8&.*2&%*.!

3%!3*.!%&*+#$D!3%4$'.*$6-*6$&/!aO!3.!'5(&!*#!1$#83,&!26(*31(&!.&$83-&.!'-$#..!3*.!-#%8&$7&,!%&*+#$D/!

3%-(6,3%7!5$#',5'%,!'--&../!l#3-&!#8&$!AL!Wl#ALX/!'%,!5$#',-'.*!*&(&83.3#%:!!

B#!U63-D()!',,!%&+!.&$83-&.!'%,!1$#83.3#%!%&+!6.&$./!aO!%&&,&,!'%!>>>!3%4$'.*$6-*6$&!*0'*!1$#83,&,!

-#%*3%6#6.!'8'3('53(3*)/!0370!1&$4#$2'%-&/!'%,!4'.*!4'3(#8&$!3%!*0&!&8&%*!#4!0'$,+'$&!#$!.#4*+'$&!&$$#$.:!

B0&!1$&83#6.!,'*'5'.&!.#(6*3#%!+'.!%#*!'5(&!*#!D&&1!1'-&!+3*0!*0&!3%-$&'.&,!,&2'%,./!-'6.3%7!

-6.*#2&$!.'*3.4'-*3#%!3..6&.!'%,!2'Y#$!%&*+#$D!',23%3.*$'*3#%!#8&$0&',/!.#!aO!*6$%&,!*#!Z)[_C!V(6.*&$/!+03-0!0'.!1$#83,&,!3*!+3*0!*0&!4#((#+3%7!5&%&43*.K!!

! b#!.3%7(&!1#3%*!#4!4'3(6$&/!'.!'!$&.6(*!#4!*0&!,3.*$356*&,!'$-03*&-*6$&!!

! [65.&-#%,!4'3(#8&$!*#!76'$'%*&&!-#%*3%6#6.!'8'3('53(3*)!!

26


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!

! >53(3*)!#4!4'3(&,!%#,&.!*#!'6*#2'*3-'(()!$&.*'$*!'%,!$&-#%4376$&!*0&2.&(8&.!+3*0#6*!#1&$'*#$!

3%*&$8&%*3#%!!

! L$3-&N1&$4#$2'%-&!$'*3#!.&8&$'(!*32&.!5&**&$!*0'%!-#21&*3%7!#44&$3%7.T!!

! >53(3*)!*#!0'%,(&!GH/HHH!*$'%.'-*3#%.!1&$!.&-#%,!#%!-#22#,3*)!0'$,+'$&!!

! A21$#8&,!-6.*#2&$!.'*3.4'-*3#%!'%,!$&,6-&,!%&*+#$D!#1&$'*3#%!-#.*.!!

C&'$%!2#$&!'5#6*!aOT.!&R1&$3&%-&.!3%!*03.!-'.&!.*6,)K!2).U(:-#2N-6.*#2&$.N83&+Nf3,odPP:!!

Conclusion

B03.!+03*&!1'1&$!0'.!&R1(#$&,!0#+!Z)[_C!V(6.*&$!3.!3%-$&'.3%7()!5&3%7!6.&,!5)!9&5?5'.&,!

'11(3-'*3#%!1$#83,&$.!'%,!&?-#22&$-&!-#21'%3&.!*#!-#.*?&44&-*38&()!,&(38&$!.&$83-&.!*0'*!2&&*!6.&$!

$&U63$&2&%*.!'%,!56.3%&..![C>.!'%,!1$#83,&!-#21&*3*38&!,344&$&%*3'*3#%:!!

=$373%'(()!,&8&(#1&,!'%,!1$#8&%!+3*03%!*0&!*&(&-#226%3-'*3#%.!3%,6.*$)/!Z)[_C!V(6.*&$/!+3*0!3*.!;>/!$&'(?*32&!1&$4#$2'%-&/!'%,!(3%&'$!.-'('53(3*)!-0'$'-*&$3.*3-./!3.!'%!3,&'(!-#21#%&%*!#4!'!-#21(&*&!

,'*'5'.&!1('*4#$2!4#$!9&5!'%,!&?-#22&$-&!1$#83,&$.!*0'*!26.*!'-03&8&!PP:PPP!1&$-&%*!'8'3('53(3*):!!

93*0!.6--&..46(!,&1(#)2&%*.!3%!'11(3-'*3#%.!3%-(6,3%7!&?-#22&$-&/!.#-3'(!%&*+#$D3%7/!-#%*&%*!

,&(38&$)/!'%,!.&$83-&!'--&..N'6*0#$3M'*3#%/!Z)[_C!V(6.*&$!2'D&.!3*!&'.)!4#$!'%)!#%(3%&!'11(3-'*3#%.!

1$#83,&$!*#!7&*!.*'$*&,!*#,')!5)!,#+%(#',3%7!*0&!1$#,6-*!4$#2!*0&!Z)[_C!9&5.3*&EE!'%,!6.3%7!*0&!

$&.#6$-&.!(3.*&,!3%!>11&%,3R!>!*#!.*'$*!'%!&8'(6'*3#%:!!

Appendix A: Additional Resources

&'()*+,-./#$0+"1+#2$+3$4K!

2).U(:-#2N-(6.*&$!!

&'()*+,-./#$0+,./#"5$0+,6/$+(#.78$/%!!

2).U(:-#2N-6.*#2&$.N-(6.*&$N!!

9$##81:+(#60#$7+;8#2+&'()*+,-./#$0%!!

2).U(:-#2N1$#,6-*.N,'*'5'.&N-(6.*&$N7&*?.*'$*&,:0*2(!!

!

!

!!

!EE2).U(:-#2N,#+%(#',.N-(6.*&$N!

27


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!

28

&'()*+,-./#$0+28#$>#.0$+617+!$;+?$6#.0$/+328#$@6@$0%++

2).U(:-#2N+0)?2).U(N+03*&?1'1&$.N2).U(c+1c-(6.*&$Qc'$-03*&-*6$&:101!!

&'()*+,-./#$0+AB6-.6#8"1+9.87$%++

2).U(:-#2N+0)?2).U(N+03*&?1'1&$.N2).U(c-(6.*&$c&8'(c763,&:101!!

!


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!

! MySQL Cluster for Web and E-Commerce

Applications

April 2010

Oracle Corporation

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