China Research Lab
Introduction to IBM Cloud Products and Cloudbased Analysis Platform Research at CRL
Chen Wang (王晨)
IBM China Research Laboratory
IBM Confidential
© 2006 IBM Corporation
China Research Lab
About Me
 Received Ph.D. degree of computer science from Fudan University
in 2005
 Joined IBM China Research Lab since 2005
 Major research areas
– Database and data mining [2002 to 2005]
• Focus: to solve scalability and performance issues of querying and mining
over graph like data
• Representatives : KDD’04, SIGMOD’05, PAKDD’04, JCST, WWW J, DKE J
– Semantic web and data management [2005 to 2008]
• Focus: to develop scalable and efficient RDF data store in a single node
• Representatives : SIGMOD’08, ICDE’09, WWW’08, WWW’07, VLDB’07
– Semantic web + data mining + cloud computing [Now!]
• Focus: to deliver knowledge discovery system over RDF data in cloud
environment to enable business intelligence in healthcare area
• Representatives : …
 Homepage
– http://www.research.ibm.com/people/w/wang
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Agenda
 IBM cloud offerings (1 hour and 30 min)
– CloudBurst (BlueCloud)
– Tivoli service automation management (TSAM)
 Break (30 min)
 Cloud-based analysis platform research at CRL
(50 min)
 Q & A (10 min)
IBM Confidential
© 2003 IBM Corporation
China Research Lab
IT infrastructure is reaching a breaking point
85% idle
In distributed computing
environments, up to
85% of computing
capacity sits idle.
1.5x
70¢ per $1
Explosion of information
driving 54% growth in
storage shipments
every year.
70% on average is spent
on maintaining current IT
infrastructures versus
adding new capabilities.
40 billion
33%
Consumer product and retail
industries lose about $40
billion annually, or 3.5 percent
of their sales, due to supply
chain inefficiencies.
33% of consumers notified
of a security breach will
terminate their relationship
with the company they
perceive as responsible.
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Video: Cloud Computing in IBM Expert’s eyes
 Irving Wladawsky-Berger discusses cloud
computing with Tech Web TV
IBM Confidential
© 2003 IBM Corporation
China Research Lab
We are talking about a way to significantly
lower cost…
Internal Private Cloud
Traditional Infrastructure
• x86 servers – one application per server
• 5% hardware utilization
• Manual operations & maintenance
versus
• x86 servers – full virtualization
• Embedded service management system
• Automated self service
Internal Private Cloud drives cost savings
 Can reduce IT labor cost by 50% in
configuration, operations, management
and monitoring
 Can improve capital utilization by 75%,
significantly reducing license costs
 Reduce provisioning cycle times from
weeks to minutes
 Can reduce end user IT support costs by
up to 40%
Unit
cost
Traditional
Infrastructure
Internal
Cloud
Scale
IBM Confidential
(IBM projections based on customer work)
© 2003 IBM Corporation
China Research Lab
Agenda
 IBM cloud offerings
– CloudBurst
• Hardware
• Software
• Architecture
– Tivoli service automation management (TSAM)
IBM Confidential
© 2003 IBM Corporation
China Research Lab
What Is IBM CloudBurst?
 IBM CloudBurst leverages an IBM pre-integrated
service delivery platform that include the
hardware, storage, networking, virtualization and
service management software to create a private
cloud computing environment.
IBM Confidential
© 2003 IBM Corporation
China Research Lab
An industry standard rack cabinet
 External dimensions:
– Height: 1999 mm (78.7 in)
– Width: 605 mm (23.8 in)
– Depth: 1001 mm (39.4 in)
– Weight: 124.7 kg (275 lb)
 Comes with a front door, rear doors, and
side panels installed.
 Has the following features:
– Front stabilizer foot
– Six 1-U side-wall compartments
– Lockable doors and side panels
IBM S2 42U
– Room for cable management
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Housing a cloud computing infrastructure
management server …
FRONT VIEW
 x3650M2
– Form:
• 2U
– Processor:
• Dual Quad Core Intel® Xeon® X5520
• 2.26GHz, 8MB L2 cache, 80W
– Memory:
HDD
Up to 12
REAR VIEW
• 24GB RAM
– Storage:
• HDD 6x 146GB SAS 10K
– Ethernet interfaces:
• Four 1 Gbps NICs
• Dual port 4 Gbps FC
IBM x3650M2 rack-mount server
IBM Confidential
© 2003 IBM Corporation
China Research Lab
… a cloud compute platform …
 HS22
– Form:
• 1U
– Processor:
• Dual Quad Core Intel® Xeon ® X5560 4C
• 2.8GHz, 8MB L2 cache, 95W
– Memory:
• 48GB RAM
– HDD:
• Diskless
– Ethernet interfaces:
• Two 1 Gbps NICs
• Dual port 4Gbps FC
– USB:
• VMware ESXi Hypervisor™ on embedded USB key
IBM BladeCenter HS22
IBM Confidential
© 2003 IBM Corporation
China Research Lab
FRONT VIEW
… imbedded into a chassis
 BladeCenter H chassis
– Form:
• 9U
– Features:
• Up to 14 blade bays
• Advanced Management Module standard,
plus optional module for redundancy
• USB-based keyboard, video, mouse (KVM),
Ethernet, USB
• Optical drive and two USB connections
• High-speed fabric with eight data channels to
every blade, four of which can be 10 Gb
• Supporting industry-standard I/O switches
• Light path diagnostics
• Predictive Failure Analysis
• Support for IBM System Storage solutions
(Including DS and NAS family of products)
and many widely adopted non-IBM storage
offerings External storage
Example: 8 blade servers followed by 6 empty slots
REAR VIEW
Example: on the left two FC switches and two Ethernet switches.
On the right side a management module with console cables.
IBM BladeCenter H Chassis
IBM Confidential
© 2003 IBM Corporation
China Research Lab
The rack also includes IBM system storage …
 DS3400 FC attached storage
– Dual active RAID controller
– Host Interface:
• 4 Gbps Fiber Channel (FC) interface
technology
– Direct-attach storage (DAS) or SAN
solution—start with a DAS configuration
and seamlessly transition to a FC SAN
when ready
IBM System Storage DS3400
– Easy to deploy and manage with the
DS3000 Storage Manager
– 5.4 TB of storage capacity with twelve
450 GB hot-swappable 15K drives
IBM Confidential
© 2003 IBM Corporation
China Research Lab
… and network components
 BladeCenter H (I/O)
– Redundant 4G FC Networking - Qlogic FC SM
• QLogic 20-port 4 Gb Fibre Channel Switch Module
– Redundant 1G Ethernet Networking – SMC 8126L2
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Agenda
 IBM cloud offerings
– CloudBurst
• Hardware
• Software
• Architecture
– Tivoli service automation management (TSAM)
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Cloud computing infrastructure management
server
Operating System
Windows2003R2 Enterprise Edition 32 bit
(includes MS Active Directory)
Database Server
MS SQL Server Enterprise Edition
MS SQL Server Express (imbedded w/
VMWare VirtualCenter (now vCenter Server)
Platform Management Tools
IBM Systems Director 6.1.1
BladeCenter Open Fabric Manager (BOFM)
IBM BOFM v3 plugin
Active Energy Manager
IBM Active Energy Manager 4.0
Server Management Tools
IBM ToolsCenter 1.1
Storage Management Tools
IBM DS Storage Manager for DS4000 10.36
LSI SMI-S provider for DS3400
LMI SMI-S
Virtualization Management Tools
VMware vCenter Server 2.5 *
(requires MS Active Directory)
* Previous product name was VMware VirtualCenter 2.5u4
IBM Confidential
© 2003 IBM Corporation
China Research Lab
CloudBurst software stack
Bare Metal Hypervisor on HS22 blade
VMWare ESXi 3.5 U4 Hypervisor
Operating System
Novell SUSE Linux Enterprise 10 SP 2
Network File System
NFS
Database Server
IBM DB2 Enterprise Server Edition
V9.1 for Linux
Web Application Server, including
IBM HTTP server
IBM WebSphere Application Server
Network Deployment 6.1.0.13
Directory Server
IBM Tivoli Directory Server 6.1.0.1
Monitoring
IBM Tivoli Monitoring 6.2.1 (OS pack)
IBM Tivoli Monitoring for Energy
Mgmt 6.2
Storage Management Client
IBM Tivoli Storage Manager client 6.1
Provisioning Management
IBM Tivoli Provisioning Manager 7.1
CloudBurst application
IBM Tivoli Service Management pack
including appliance wizards
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Agenda
 IBM cloud offerings
– CloudBurst
• Hardware
• Software
• Architecture
– Tivoli service automation management (TSAM)
IBM Confidential
© 2003 IBM Corporation
Virtual Center
SQL Server
ToolsCenter
IBM Storage Mgr
Active Energy
Customer Ethernet Network
Customer SAN Network
BOFM
IBM Director
.
China Research Lab
Windows Server
3650 M2 Server
1G Ethernet Switch
1G Ethernet Switch
MSIM-L Bay 9
MSIM-L Bay 7
Mid-plane
ITM
ITDS
24 port 1Gps Ethernet Switch
24 port 1Gps Ethernet Switch
20port FC SM
20port FC SM
Bay 3
PDU 1
Bay 4
DB2 ESE
PDU 2
WAS ND
AMM2
Mid-plane
TPM
AMM2
HS22 Blade
HS22 Blade
HS22 Blade
HS22 Blade
HS22 Blade
HS22 Blade
HS22 Blade
HS22 Blade
HS22 Blade
HS22 Blade
HS22 Blade
HS22 Blade
HS22 Blade
HS22 Blade
CloudBurst
x3650 M2
SUSE & NFS
Controller A
VMWare ESXi Hypervisor
IBM Confidential
Controller B
IBM Storage
© 2003 IBM Corporation
China Research Lab
Built-in Virtualization
 Understand virtual and
physical resource usage
 Dynamically manage virtual
workloads to optimize
resource usage
 Automatically migrate virtual
machines across systems to
maintain service levels
…Increases utilization for lower capital expense
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Base configuration
1 BladeCenter H with 4 blades*
BladeCenter H
1
2
3
4
5
6
7
8
9 10 11 12 13 14
DS3400
3650M2
Network Components
42U Standard Rack
*First HS22 blade server is reserved for the CloudBurst software stack
IBM Confidential
© 2003 IBM Corporation
China Research Lab
CloudBurst software stack shipped as VMware images to
run on the first HS22 blade server
BladeCenter H
1
2
3
4
5
6
7
8
9 10 11 12 13 14
HS22 Blades
CloudBurst
TPM
ITDS
WAS ND
ITM
DB2 ESE
DB2 ESE
BlueCode
VM
SUSE
BlueCode
VM
SUSE
VMWare ESXi Hypervisor
CloudBurst VM
IBM Confidential
VMWare ESXi Hypervisor
Monitoring VM
BlueCode VM
SUSE + NFS + TFTP
VMWare ESXi Hypervisor
Image Server VM
© 2003 IBM Corporation
China Research Lab
Agenda
 IBM cloud offerings
– CloudBurst
– BlueCloud
– Tivoli service automation management (TSAM)
IBM Confidential
© 2003 IBM Corporation
China Research Lab
IBM to Unveil Plans for “Blue Cloud” on 11/15
 Family of ready-to-use cloud computing offerings
– Based on open standards and open source software together with
IBM software, systems technology and services
– First offering to support Power and x86 processors
– Plans to support System z and highly dense rack clusters
 Reduces IT management complexity and increases business
responsiveness
 Supports both existing and emerging, data-intensive workloads
 Vietnamese Ministry of Science and Technology plans to leverage
Almaden Research Center’s cloud environment to run country
innovation portal
Initial Blue Cloud offering targeted for Spring, 2008 availability
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Forces Driving Cloud Computing
Explosion of data
intensive applications
on Internet
Increased network
capacity and availability
Fast growth of mobile
commerce
Advances in
computer architecture
and
price/performance
Requires massively scalable cloud infrastructures to serve billions of
heterogeneous browser-based clients
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Blue Cloud Initial Offering – Targeted for Spring 2008
Delivers a massively scalable and flexible compute platform for hosting
both existing and emerging data-intensive workloads.
Apache
Virtual
Virtual
Machine Machine
BladeCenter
Virtual
Machine
Virtual
Machine
Tivoli Monitoring Agent
Linux with Xen
Monitoring
IBM
Monitoring v.6
DB2
Provisioning Baremetal
& Virtual Machines
Provisioning
Manager v.5.1
WebSphere
Application Server
Provisioning Management Stack
Virtualized Infrastructure Based
on Linux & Xen
• Based on open standards and open
source software
• Includes IBM software, systems
technology and services
• Supports both Power and x86
processors
• Web 2.0 resource reservation system
IBM Confidential
© 2003 IBM Corporation
China Research Lab
IBM and Massive Scale Computing
 IBM is uniquely qualified to lead in cloud
computing
 Blue Cloud builds off of IBM’s decades of
experience developing and leading massive-scale
computing:
– Parallel Sysplex
– IBM’s Deep Blue SP Cluster
– Blue Gene
– Grid Computing
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Business Benefits of Blue Cloud
• Cost efficient model for creating and acquiring
information services
• Reduces IT management complexity
• Increases business responsiveness with real-time
capacity reallocation as demand for compute power
grows
• Powers both existing and emerging data-intensive
workloads
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Technology Incubation Cloud for IBM Employees
70 active incubations
10 new products
IBM Confidential
© 2003 IBM Corporation
China Research Lab
IBM Research Computing Cloud (RC2)
 A ‘living lab’ to advance research strategies
 Provides self service ‘on demand’ delivery
solution for research computing resources
 Integrates existing assets and products with
SOA
 Zero touch support for the full life cycle of
service delivery
– Order creation
– Approval process
– E-mail notification
– Automated provisioning
– Monitoring
IBM Confidential
RC2
Self - Service
Portal
Business Process Workflow Application
Business Process
Workflow Management
Business Service Platform
Enterprise Service Bus
Virtualized Infrastructure
© 2003 IBM Corporation
China Research Lab
Vietnam Ministry Leverages Cloud to Run Innovation Program
VISTA Innovation Portal
(VIP)
VIP pilot hosted on IBM’s
Blue Cloud computing
infrastructure at Almaden
Students
Teachers
Blogs
Profiles
Wikis
Forums
Social Tagging
Information Discovery
Researchers
IBM Confidential
VIP, powered by IBM Innovation
Factory, provides a platform to
foster collaborative innovation
among major universities and
research institutes.
IBM Innovation Factory
© 2003 IBM Corporation
China Research Lab
Summary
 IBM unveiling new cloud computing offerings to
respond to customer needs:
– Explore extreme scale quickly and easily
– Share infrastructure resources efficiently
– Simplify IT management
– Handle new and emerging workloads
– Provide a platform to encourage open collaboration
A white paper, “Cloud Computing” from High Performance on Demand Solutions available at:
http://www.ibm.com/developerworks/websphere/zones/hipods/library.html
IBM Confidential
© 2003 IBM Corporation
China Research Lab
蓝云成功案例1:中国无锡科教产业园云计算中心
 2008年2月1日，IBM在
中国无锡太湖新城科教产
业园建立第一个云计算中
心；
 该中心将为中国新兴软
件公司提供接入一个虚拟
计算环境的能力，从而鼎
力支持其开发活动；
是全球第一个实现商业运
营的云计算中心。
IBM Confidential
© 2003 IBM Corporation
China Research Lab
蓝云成功案例1:中国无锡科教产业园云计算中心
该平台可以直接为园区的软件外包公
司以及周边的企业提供数据中心的服务；
通过在云计算平台上搭建完整的IBM
Rational软件交付平台，可以为各软件
公司提供高品质的开发和测试等外包服
务；
该云计算平台可协助园区实现软件许
可证租借、培训等商业服务模式。
IBM Confidential
© 2003 IBM Corporation
China Research Lab
蓝云成功案例2：与Google进行的学术合作
培养具备下一代“云计算”技能的人才
IBM研究中心
• 倡导大学推动开放式标准和新兴并行计算模型
• 联合提供硬件、软件、服务支持新的并行计算课
程
• 三大计算 “云团”
谷歌
首批入选大学名单
美国华盛顿大学
IBM Confidential
35
© 2003 IBM Corporation
China Research Lab
蓝云成功案例3：荷兰iTricity IDC
• 连接当地5个数据中心
• 托管多个客户的业务系统
• 基于订阅和使用计费
• 基于IBM System x 和 System p
• 增加的蓝云功能
– 部署SAN
– 网络虚拟化
– 发布到多个数据中心
– 部署复杂应用
 优势
– 按使用计费，不是一次投入
– 设备和位置的独立性
• 通过多个数据中心的云计算资源池提供可靠性
商业模式
• 可利用其他数据中心的处理能力增加扩展性
• “按小时计费”
• 符合ISO27002标准的安全性
• 把基础架构作为服务，客户可以迅速获得或释放资源
• 云计算作为传统托管服务的补充，并将逐渐增长
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Agenda
 IBM cloud offerings
– CloudBurst
– BlueCloud
– Tivoli service automation management (TSAM)
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Cloud Computing - Definition from IBMs BlueCloud Architecture Board
It is a user experience and a business model
• Cloud computing is an emerging style of computing in which applications,
data, and IT resources are provided as services to users over the network.
It is a infrastructure management methodology
• Cloud computing is way of managing large numbers of highly virtualized
resources such that from a management perspective, they resemble a
single large resource. This can then be used to deliver services.
Monitor & Manage
Services & Resources
Cloud
Administrator
IT Cloud
Service Catalog,
Component
Library
38
IBM Confidential
Datacenter
Infrastructure
Service Consumers
Access
Services
Component Vendors /
Software Publishers
Publish & Update
Components,
Service Templates
© 2003 IBM Corporation
China Research Lab
Service Request &
Operations
Service
Creation & Deployment
IT Infrastructure & Application
Provider
Architectural Model for Cloud Computing
End User
Requests
& Operators
Service Management
User Request Management/Self Service Portal
Service Lifecycle Management
Image Lifecycle
Management
Provisioning
Performance
Management
Security: Identity, Access, Integrity,
Isolation, Audit & Compliance
Service Oriented Architecture
…
Service Catalog
Request UI
Operational UI
Availability/Backup/
Restore
Usage
Accounting
License
Management
Information Architecture
Design
& Build
Image Library
(Store)
Optimized Middleware
(image deployment, integrated security, workload mgmt., high-availability)
Deployment
Virtualized Infrastructure
Virtual Resources & Aggregations
Server Virt.
System Resources
SMP Servers
Blades
IBM Confidential
Virtual Image
Management
Storage Virt.
Storage Servers
Network Virt.
Storage
Operational
Lifecycle
of Images
Network Hardware
August 24, 2008
© 2003 IBM Corporation
China Research Lab
Service Management Center for Cloud Computing
Service Management Center for Cloud Computing

Admin



Provision a new server with OS
and applications
Modify a provisioned server
Start/stop a server, change
memory and CPUs
Add/remove node to cluster
AIX
Linux on z
Linux on x
End User
Virtualized Infrastructure
AIX
Linux
System p LPARs
IBM Confidential
Linux Win
VMWare
z/OS
System z
© 2003 IBM Corporation
China Research Lab
Agenda
 IBM cloud offerings
– CloudBurst
– BlueCloud
– Tivoli service automation management (TSAM)
• Request driven provisioning
• Service lifecycle manager
• User experience
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Request Driven Provisioning (RDP2)
Project
End User
Request for Provisioning
1
n
Virtual Server
P5/6 LPARs with AIX, RH Linux
Intel VMWare ESX with RH Linux or Windows
1
1
SW Stack
IBM Confidential
© 2003 IBM Corporation
China Research Lab
RDP Scenarios
 Create virtual servers within a new project
 Deploy new virtual servers in an existing project
 Install a SW stack (OS and applications)
 Destroy a virtual server
 Increase/decrease CPU of a virtual server
 Increase/decrease RAM of a virtual server
 Cancel a project and destroy all associated virtual
servers
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Create Virtual Servers in a new Project
2
SRM Catalog
Selects “Create a
new Project”
List of offerings:
 Create new Project
End User
 Add server to existing project
1
The End User
logs into TSAM
Project
Name
Description
userGroup
Server
Type
# of servers
# CPUs
Memory
DSL
List of SW stacks
6
5
Select SW stack
4
Specifies Project
details
Specifies Server
Details
7
Submit Request
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Add Server to an Existing Project
SLM
List of projects
3
SRM Catalog
List of offerings:
 Create new Project
End User
 Add server to existing project
1
Selects “Add Server
to an Existing Project”
The End User
logs into TSAM
Project
Name
Description
userGroup
Server
Type
# of servers
# CPUs
Memory
DSL
List of SW stacks
6
5
Select SW stack
Selects an existing
project
2
4
Specifies Project
details
Specifies Server
Details
7
Submit Request
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Modify a Server
SLM
List of projects
3
SRM Catalog
End User
List of offerings:
 Modify a Server
 Delete a Server
 Cancel Project
1
2
Selects an existing
project
Selects “Modify a
Server”
The End User
logs into TSAM
List of Servers in
the project
Server
# CPUs
Memory
4
Selects a specific
Server
5
Modify Server Details
7
Submit Request
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Agenda
 IBM cloud offerings
– CloudBurst
– BlueCloud
– Tivoli service automation management (TSAM)
• Request driven provisioning
• Service lifecycle manager
• User experience
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Sample Configuration SLM R1
WAS-based Application Service
(structure + mgmt plans defined within template used for instantiation)
WAS Deployment
Manager
AIX
manages
Administrator
System p LPAR
WAS Cluster
Member
Central TPAP (aka
Maximo)-based GUI
“Launch in Context” to
other Mgmt Software
DB2
AIX
System p LPAR
zOS
Management Server
on AIX or z/Linux
IBM HTTP Server
WAS Cluster
Member
AIX
AIX
System p LPAR
System p LPAR
z/VM or
zLPAR
• WAS Cluster
Provisioned &
Configured according
to best practices
Monitored by ITM /
Omegamon
End User
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Some sample Topologies and Monitors
DB2
WAS Deployment
Manager
DB2
IBM HTTP Server
WAS Deployment
Manager
z/Linux
zOS
z/VM
z/VM
WAS Cluster
Member
IBM HTTP Server
WAS Cluster
Member
WAS Cluster
Member
Linux
AIX
AIX
z/VM
System p LPAR
System p LPAR
Development
System
IBM Confidential
Testsystem
WAS Deployment
Manager (standby)
WAS Deployment
Manager
Linux
Linux
z/VM
z/VM
DB2
DB2
zOS
zOS
IBM HTTP Server
IBM HTTP Server
Linux
Linux
z/VM
z/VM
WAS Cluster
Member
WAS Cluster
Member
AIX
AIX
System p LPAR
System p LPAR
System z
LPAR
Parallel
Sysplex
PreProduction
system
© 2003 IBM Corporation
China Research Lab
Example: Deployment of an Application Landscape –
System z
Service
Management
Center for
System z
Tim,
Application
Test Team
(End User)
1
Work Order “IT Service Order”
Lacking z skills (network,
security, monitoring, etc.) , Tim
is pleased to see a complete
WebSphere landscape offered exactly what he needs for an
upcoming test of his newly
developed SOA application. Tim
doesn’t want to bother with the
details of the underlying
topology
Service work
order process
Automation for service fulfillment,
services inventory, tracking, work
order, approvals
2
TPM workflow, best practice
mgmt configurations,
install images ( OS,
middleware, mgmt agents)
3
Serice
Definitions
Inventory
Tim’s request together with all
parameters describing service
levels and other details about the
desired WebSphere Landscape
are routed to Ann for approval.
After Ann verified the validity of Tims
request, she initiated the automated
deployment of the landscape.
Work
order
Application Landscape Manager
Landscape Mgr Process
Assembles topology information, build and
management plans, best practices
templates, thresholds and policies to
initiate deployment
Deployment
automation
TPM
Install Images,
best practice
configuration
TPM provisions all landscape components
including OS, DB, MW, etc. together with
management agents and best practices
templates, thresholds and policies
IBM Confidential
Ann,
Service Landscape
Deployment Planner
OMEGAMON
4
Tim receives
notification that the
landscape is ready
for use
OMEGAMON
DB2 on z/OS
DB2 on z/OS
z/OS
z/OS
OMEGAMON
WebSphere
Linux on System z
z/VM
© 2003 IBM Corporation
China Research Lab
Service Definition and Provisioning
 Same Service Definition Process can be used to
– Build and manage a (Development-)System that can be ordered and
gets instantiated right-away (Request Driven Provisioning)
– Define a (Production-)System that is mapped to the infrastructure
involving various subject matter experts ( security, HA, performance
….) and gets instantiated in the next maintenance window
 The Service Instantiation time and quality is improved by
– Collecting all required parameters upfront
– Using a standardized and repeatable process
– Using Automation where possible / desired
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Managing the IT Landscape for a Service
 Management can be done on a Service Instance
– that was build using the Service Definition / Request process
 Typical Management Actions
– Start / Stop
– Resizing ( add/remove Cluster-Member )
– Incident Handling (next chart)
 Adaptable Framework
– Customer can include existing management tools
– Customer can adopt to existing processes
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Operational Management Scenario
Threshold exceeded indicating a potential Response Time Problem
Close ticket
TPAP
Service Lifecycle
Manager
5
Correlate with information
about service, proposed
Mgmt. Plans, etc.
CMDB
MBOs
2
3b
Ann: DB Specialist
John, Operations Specialist
 Analyze Incident
Analyze Problem on DB
 Select Automation Packages or
route Problem
3a
1
Simplify typical
operational management
scenarios by providing
Best Management
Practices for the specific
application landscape
across the entire
spectrum including
OMPs, thresholds,
policies, job plans, etc.
ITM Agent:
Threshold exceeded
ISM Job Plan Execution
1.
Identify and stop ran-away pid
2.
Add Application Server
3.
<customer best practice>
4.
Adapt WAS Heap Size
4
Ticket handling through
service process (out of scope)
6
Close incident automatically or
through user after manual action
Composite Application - Distributed WAS on p, DB2 on z
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Agenda
 IBM cloud offerings
– CloudBurst
– BlueCloud
– Tivoli service automation management (TSAM)
• Request driven provisioning
• Service lifecycle manager
• User experience
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Logon / Select Service Defintion
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Management Plans
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Monitoring and Event Management
Good Practices for
determining the
cause of the Event
and possible
corrective actions (if
required)
Good Practices for
corrective
management actions
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Resource / Topology Defintion
IBM HTTP
Deployment
Server
Manager
AppServer
WebSphere Cluster
Instance
Managed Node
...
AppServer
Database
Instance
Instance
Managed Node
DBMS Server
(1 .. 5)
WebSphere Cell
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Resource Definitions – Connection to DB2
Database
Instance
DBMS Server
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Topology Node Operations
Deployment
Manager
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Service Instances
Self Service GUI
Existing Instances
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Instantiation Steps 1/3
IBM HTTP
Deployment
Server
Manager
zLinux
zLinux
AppServer
AppServer
WebSphere Cluster
Instance
Topology Customization
Cardinality
Resource Allocation Template
Colocation
Instance
...
Managed Node
zLinux
Managed Node
zLinux
(1
2.. 5)
Logical Server 1
WebSphere Cell
Logical Server 2
IBM Confidential
Monitoring Configuration (optional)
AppServer
Database
Instance
Instance
Managed Node
DBMS Server
© 2003 IBM Corporation
China Research Lab
Instantiation Steps – Step 2/3
IBM HTTP
Deployment
Server
Manager
zLinux
zLinux
Topology Customization
Cardinality
Resource Allocation Template
Colocation
Monitoring Configuration (optional)
Resource Allocation
AppServer
AppServer
Instance
Instance
Managed Node
zLinux
LNXSOA02
Managed Node
zLinux
LNXSOA04
Logical Server 1
Logical Server 2
CMDB
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Instantiation Steps – Step 3/3
IBM HTTP
Deployment
Server
Manager
Topology Customization
Cardinality
Resource Allocation Template
Colocation
Monitoring Configuration (optional)
Resource Allocation
AppServer
AppServer
Database
Edit Job Plan (optional)
Instance
Instance
Instance
Approval
(Scheduled) Provisioning
Managed Node
Managed Node
LNXSOA02
LNXSOA04
DBMS Server
To TPM
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Shortcuts for less complex / controlled
Environments
 Preapproved Instantiation
 Fixed Cardinality of cluster members / target OS
 Fixed server layout
 Fixed monitoring setup
 Non-editable TPAP job plans
IBM Confidential
© 2003 IBM Corporation
China Research Lab
30 Min Break
 IBM cloud offerings (1 hour and 20 min)
– CloudBurst (BlueCloud)
– Tivoli service automation management (TSAM)
 Break (30 min)
 Cloud-based analysis platform research at CRL (1
hour)
 Q & A (10 min)
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Agenda
 Cloud-based analysis platform research at CRL
– Semantic web
– Healthcare applications
– Clod based analysis platform
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Today’s Web
 Most of today’s Web content is suitable for human
consumption
– Even Web content that is generated automatically from
databases is usually presented without the original
structural information found in databases
 Typical Web uses today people’s
– seeking and making use of information, searching for and
getting in touch with other people, reviewing catalogs of
online stores and ordering products by filling out forms
IBM Confidential
© 2003 IBM Corporation
China Research Lab
New Challenge
 What We Say to Dogs
– from Gary Larson cartoon (local link) ...
• "Stay out of the garbage! Understand, Ginger? Stay out of the garbage!"
– What Dogs Understand
• "... blah blah blah blah GINGER blah blah blah blah ..."
 What Computers Understand on Current Web
– " ... blah blah blah <a href=http://www.xwz.com/foo.html> link
</a> blah blah blah . . . ."*
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Semantic Web
 The Semantic Web provides a common framework that allows data to
be shared and reused across application, enterprise, and community
boundaries.
 “Facilities to put machine-understandable data on the Web are
becoming a high priority for many communities. The Web can reach
its full potential only if it becomes a place where data can be shared
and processed by automated tools as well as by people. For the Web
to scale, tomorrow's programs must be able to share and process
data even when these programs have been designed totally
independently.”
W3C Semantic Web Activity
IBM Confidential
© 2003 IBM Corporation
China Research Lab
What Does RDF Data Look Like
University:hasName
xsd:Boolean
University:Person
University:hasName
rdfs:subClassOf
Subject
Predicate
University:Person1
xsd:String
“Jack”^xsd:String
University:hasName
University:Person1
University:Professor
University:hasGender
University:teachOf
University:hasName
University:Person2
University:Person2
Object
rdfs:subClassOf
Male^xsd:Boolean
University:hasCourseName
“Rose”^xsd:String
University:hasGenderUniversity:Course
Female^xsd:Boolean
University:GraduateStudent
University:teachOf
University:CourseA
University:takeCourse
University:Person1
University:Person2
University:takeCourse
“Maths”^xsd:Strin
RDF:typeOf
gUniversity:hasCourseName
RDF:typeOf
University:CourseA
Take.PhUniversity:Professor
.D course
University:hasCourseName
RDF:typeOf
University:Person1
University:CourseA
rdfs:subClassOf
“Maths”^xsd:String
University:Person2
RDF:typeOf
University:GraduateStudent
RDF:typeOf
University:CourseA
University:Person1
RDF:typeOf
University:CourseA
University:Course
University:Professor
rdfs:subClassOf
University:teachOf
University:GraduateStudent
University:hasGender
University:Professor
rdfs:subClassOf
University:hasName
University:GraduateStudent
……
Male^xsd:Boolean
University:teachOf
University:takeCourse
University:Person
University:takeCourse
University:Person
University:Course
University:Person2
University:Course
University:hasName
University:hasGender
“Jack”^xsd:String
“Rose”^xsd:String
IBM Confidential
Female^xsd:Boolean
© 2003 IBM Corporation
China Research Lab
LOD (Linking Open Data), DBpedia, IMDb,
Freebase……
 LOD: over 30 datasets which consisted of 2
billion triples till Apr 2008
 DBpedia: over 100 million triples till Sep
2008
– Entities (over 2 million), e.g.,
•
•
•
•
80,000 persons
70,000 places
35,000 music albums
12,000 films
– Relationships, e.g.,
• 657,000 links to images
• 1,600,000 links to relevant external web pages
• 180,000 external links into other RDF datasets
– Classifiers, e.g.,
• 207,000 Wikipedia categories
• 75,000 YAGO categories
 Freebase:
– Over 4 million resources.
 IMDb (LinkMDM): over 30K overlapping
movies, soundtracks
IBM Confidential
© 2003 IBM Corporation
China Research Lab
RDFS
 RDF Schema is a Vocabulary
Description Language
– it allows specification of domain
vocabulary and a way to structure it
– Class, Property,
subClassOf,
subPropertyOf,
domain, range
 Formal semantics add
simple reasoning
capabilities:
rdf:Property
rdf:type
name
– class and property subsumption
– domain and range inference
rdfs:domain
rdfs:Class
rdf:type
Person
rdfs:subClassOf
Researcher
rdf:type
person001
IBM Confidential
© 2003 IBM Corporation
China Research Lab
OWL
<?xml version="1.0" encoding="UTF-8" ?>
<rdf:RDF
xml:base = "http://www.ibm.com/crl#"
xmlns:rdf = "http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#"
xmlns:owl="http://www.w3.org/2002/07/owl#">
<owl:Ontology rdf:about="">
<rdfs:comment>An example to show differences between owl-lite, DLP and owl-DL</rdfs:comment>
</owl:Ontology>
<owl:Class rdf:about=#Faculty>
Faculty
<owl:unionOf rdf:parseType="Collection">
<owl:Class rdf:about="#Professor" />
<owl:Class rdf:about="#Post-Doc" />
OWL:UnionOf
<owl:Class rdf:about="#Lecturet" />
</owl:unionOf>
</owl:Class>
Professor
Post-Doc
Lecture
<owl:Class rdf:ID=“Ph.D Student">
<rdfs:subClassOf>
<owl:intersectionOf rdf:parseType="Collection">
<owl:Class rdf:about="#Person" />
<owl:Restriction>
<owl:onProperty rdf:resource="#take" />
Ph.D Student
rdfs:subClass
<owl:someValuesFrom>
<owl:Class rdf:about="#Ph.D course" />
</owl:someValuesFrom>
</owl:Restriction>
</owl:intersectionOf>
</rdfs:subClassOf>
</owl:Class>
IBM Confidential
Blank node
OWL:intersectionOf
Person
Take.Ph.D course
© 2003 IBM Corporation
China Research Lab
Agenda
 Cloud-based analysis platform research at CRL
– Semantic web
– Healthcare applications
– Clod based analysis platform
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Scenario: Adverse Effect Discovery for Drugs
The Pharmacovigilance Process (FDA)
Traditional
Methods
Insight from
Outliers
Type A
(Mechanism-based)
Type B
(Idiosyncratic)
IBM Confidential
Data
Mining
Detect Signals
Generate Hypotheses
Refute/Verify
Public Health
Impact, Benefit/Risk
Estimate
Incidence
Act
Inform
Change Label
Restrict use/
withdraw
© 2003 IBM Corporation
China Research Lab
Scenario: Adverse Effect Discovery for Drugs
AERS Schema Pieces (FDA)
 Reporter country
 Patient death date
 Receipt date
 Qualification
– Physician
– Pharmacist
– Health professional
– Lawyer
– Consumer
 Seriousness
– death
– lifethreatening
– hospitalization
– disabling
– congenitalanomaly
– Other
 Patient set age
 Medicinal product
 Patient weight
 Drug batch numb
 Patient gender
 Reaction medDRA PT
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Scenario: Adverse Effect Discovery for Drugs
Statistical Methodology
 Most use variations of 2-way table statistics
No. Reports Target AE
Target Drug
a
Other
AE
b
Other Drug
c
d
nOD
nTA
nOA
n
Total
Total
nTD
Basic idea:
Flag when
R = a/E(a)
is “large”
Some possibilities
Reporting Ratio:
E(a) = nTD  nTA/n
Proportional Reporting Ratio: E(a) = nTD  c/nOD
Odds Ratio:
E(a) = b  c/d
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Scenario: Adverse Effect Discovery for Drugs
AERS Data Statistics (FDA)
 Spontaneous Reporting System began in late 1960’s, and had
received over 2.7 million reports till June, 2004.
 For now, 300,000 reports per year were added continuously
(approximately 1,000 reports per day) .
 > 9,000 event codes (MedDRA Preferred Terms)
 > 7,000 drug/biological products by trade names
> 3,000 by generic names (generic names + combination products),
from health professionals, suspect products only
 > 63,000,000 drug-event combinations possible!
 For all possible quadruples (e.g., drug-drug-drug-event or drugdrug-event-event) 20,000,000,000,000,000 combinations are
possible!
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Agenda
 Cloud-based analysis platform research at CRL
– Semantic web
– Healthcare applications
– Clod based analysis platform
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Architecture
Application
HTTP Server
Repository
Data Requirement Parsing
PMML+ Parsing
Importing
& Mining
In-memory Data Model
In-memory Analysis Model
RDF2X
Mining
RDF2File
QueryGen
RDF2Flattentable
HBase
SPARQL
Queries
Distributed File System (HDFS)
Map/Reduce Running System (Hadoop)
Master
IDB
SeDA
I1
Queries
Results
DataImport
P1
P2
gk
gk
g1
IBM Confidential
g2
g1
g2
I2
…
Pn
gk
g1
g2
© 2003 IBM Corporation
China Research Lab
Example Data
ISR
Drug Seq
Reaction PT
Outcome
Cod
Age
Gender
Wt.
Occu.
5701501
1009771744
PNEUMONIA
DE
83
M
HO
49
M
103KG
CN
DEAFNESS
DS
68
F
142LBS
MD
SYNCOPE
HO
MD
HO
5710206
1009806917
ABDOMINAL DISCOMFORT
ABDOMINAL PAIN UPPER
DIZZINESS
HYPOTENSION
NAUSEA
VOMITING
5908666
1010540206
IBM Confidential
© 2003 IBM Corporation
China Research Lab
Lifecycle of a Cloud Service
Service Offering
Subscription &
Instantiation
•Select Service, specify
parameters and SLA’s
•Automatically instantiate
the Service
Subscriber
(e.g. Line of
Business)
Service
Offering
Creation &
Registration
•Define Service
based on
Template and
register it in the
Catalog
Manual or
Autonomic
Execution of
Management
Plans
leveraging
Automation
and
Virtualization
Administrator /
SLM
Ensure SLA
Conformance
Cloud
Service
Service Catalog
Manager
Service
Instance
Termination
OS
Virtualizers (e.g. PHYP)
Ensemble Hardware
Individual Servers
IBM Confidential
Management
LPAR / VM
Management
LPAR / VM
Management
LPAR / VM
Ensemble Hardware
…
OS
…
Subscriber
(e.g. Line of
Business)
App
App
Virtualizers (e.g. z/VM)
OS
System x Ensemble
App
App
OS
App
App
…
Power Ensemble
App
App
OS
App
App
•Create Build- and
Management
Plans for Service
IBM / ISV /
IT Dept
App
App
Service Template
Definition
System z Ensemble
Destroy
Service and
free up
resources
OS
Virtualizers (e.g. Xen)
Ensemble Hardware
Storage Ensembles
© 2003 IBM Corporation
China Research Lab
Q&A
IBM Confidential
© 2003 IBM Corporation
China Research Lab
IBM Confidential
© 2003 IBM Corporation