Cloud Computing Technology Trend Watch

Cloud Computing
Technology Trend Watch

v2.7
jeffyang@cn.ibm.com { Cloud | Web2.0 }

© 2008 IBM Corporation
2009 This document is created by OpenOffice.org

Innovation, Motivation, Collaboration

Myself - 我自己
 Architect >
Cloud Computing + Web2.0 Solution @ Services
 Software Engineer & Developer >
WebSphere on Linux, Unix @ IBM Toronto Software
Development Lab
 IBM Inventor >
Patent Work, Research Compute Cloud (RC2) @ Watson
Research Lab
 Evangelist > Linux | OpenSource Core Team
 http://twitter.com/j3ffyang
http://twitter.com/OpenIBM
http://PenguinSecurity.net
Cloud @ IBM © 2009 IBM Corporation
This document is created by OpenOffice.org


Topics

 History & Layers
 Players on Ground
 Architecture Overview
 Technologies
 Adoption Path



云的服务层次和
类型
公共云私有云混合云
（提供商－互联网）（数据中心－内部网）（公共和私有）

提供的是 “服务”

应用、流程和信息作为服务（ SaaS ）
（行业应用， CRM ， ERP ， OA 等）

平台作为服务（ PaaS ）
（优化的中间件－应用服务器，数据库服务器等）

基础架构作为服务（ IaaS ）
（虚拟的服务器、存储和网络）

4 Cloud @ IBM © 2009 IBM Corporation


云的服务层次和应用实例

协作 CRM/ERP/HR

业务流程
Software as a Service

中间件 Web 2.0 应用 Java
High Volume Runtime Runtime
Transactions
数据库开发工具

Platform as a Service

Data Center
Servers Networking Storage
Fabric

分享虚拟化，动态部署
Infrastructure as a Service

5 Cloud @ IBM © 2009 IBM Corporation


Amazon Web Services (IaaS)

 EC2 (Elastic Compute Cloud)
 S3, simple storage service (PaaS)
 SDB, simple database based on
MySQL
 SQS, simple queue server
 Virtualization Only, w/o
Provisioning & Lifecycle Mgmt



AWS Commercial Case
 EC2- elastic
compute
cloud
(provisioning)
 SimpleDB
 S3 (storage)
 Queue service
 Redhat –
RHEL5.2
 Apache
Hadoop
– MapReduce
– HBase



Google AppEngine (PaaS)
 Hadoop distributed file system & API
 BigTable/ MapReduce/ HBase
 Open API but private
Infrastructure
 Data Integrity isn't a focus



Force.com & SalesForce.com

 A platform for building and deploying enterprise application on
demand such as enterprise resource planning (ERP), human
resource management (HRM) and supply chain management
(SCM).



Microsoft Azure (PaaS)

 Software plus Service
 Live, .Net, SQL, SharePoint, Dynamic CRM



Sun & Solaris

 NetBeans
 Virtualization
 OpenSolaris
 Project Caroline for dev SaaS
 Project OpenSocial
 ...

source: http://tr.im/kBtA



Yahoo's TestBed

 Yahoo (PaaS)
– Largest hadoop distributed file system environment, 4000 nodes
– TestBed cloud > http://research.yahoo.com/Cloud_Computing



Cloud Computing Layers – Solution 可能的解决方案 SO Customers

Service General Businesses
Enterprises
Providers

Key
Internet / Intranet Characterist
ics
 业务流程部署，
Business Process-as-a-Service 如， HelpDesk
Service Automation Management

MBPS
Offerings**

 在云中部署应用
Application/Software-as-a-Service
Security  Web-based Svc
Cloud Ecosystem
(Including OSS, BSS)

LotusLive AOD* Cloud RMIS / System
Svc* eRMIS*  Multi-tenancy
 针对开发者的工具和服务
Platform-as-a-Service  Dynamic software usage &
DB2, accounting
Informix Middleware Lotus Web TestCloud
 API
Dynamic Svr J2EE,, sMash Content Mgmt  Multi-tenancy

 Provision of technology
Infrastructure-as-a-Service infrastructure on demand
Information Virtual  动态 & 虚拟
Computing Storage Security TestCloud
Protection SoFS* Desktop as a  可扩展 & 弹性
On Cloud
Demand* Services Cloud** Service**  Multi-tenancy
Svcs*

* Cloud like ** Planned Cloud



Cloud Architecture Model Overview
SERVICE REQUESTORS 参与者

SERVICE CORE ENTERPRISE
END USERS DEVELOPERS CREATORS OPERATORS ADMINISTRATION

RESILIENCE
Security

SERVICE MANAGEMENT 服务管理

END
USERS END
USERS

安 APPLICATION ARCHITECTURE 中间件 INFORMATION INFRASTRUCTURE 数据业
全务
连
续
VIRTUAL IT INFRASTRUCTURE 虚拟架构

SERVERS STORAGE NETWORK
BUSINESS
INFRASTRUCTURE
业务架构
PHYSICAL IT INFRASTRUCTURE 物理架构

SERVERS STORAGE NETWORK FACILITIES



Technologies

 LAMP – Linux Apache MySQL Php/ Perl
 Apache Hadoop
 Xen / VMWare / KVM virtualization
 Open Source software vs Proprietary software
 XML, Ruby on Rail, SOAP, REST, PHP, Perl,
Python and more. Light programming model
(Web2.0 char)
 Eucalyptus / OpenNebula / Enomaly



接受云的过程
 服务请求逻辑
 监控  流程
 性能  生命周期管理
 标准（应用架构，  监控
 硬件透明开发）  报表
 提高利用律  计量
 硬件
 软件
 存储
 网络
 应用

自动化

整合

虚拟化



Backup Slides



Cloud and IT 优化

IMPROVE SERVICE
REDUCE COST
MANAGE RISK

Virtualization

IT Optimization Journey Security
Asset
Management

Service
Management

Business Energy
Efficiency Efficiency

Information
Infrastructure

Fragmented, inefficient islands
of computing Initiatives
零散低效的计算

业务可持续性
整合和虚拟化能源效率服务管理信息架构
和
安全

Dynamic Provisioning Service Catalog
虚拟 , 高效 , 可持续和安全的架构
动态部署服务目录



Open Cloud Manifesto (cont'd)

 What is Cloud & Why important?
– Scalability on Demand
– Streamlining the Data Center
– Improve Business Processes
– Minimize Startup Costs
 Challenges & Barriers to Adoption
– Security
– Data & Application Interoperability & Portability
– Governance & Management
– Metering & Monitoring



Open Cloud Manifesto

 The Goal of an Open Cloud
– Choice
– Flexibility
– Speed & Agility
– Skills
 Principles of an Open Cloud
– Open collaboration
– Not to lock into particular
platforms
– Existing standards
– Driven by customer needs



Apache Hadoop (Open Source)
 Map Reduce  HBase



Apache Hadoop Algorithm



Security Consideration (I)

 Certification and accreditation
Sarbanes Oxley (SOX) Compliance -
Audit standard / Service Organziation
 Restricted physical security
 Redundant backup
 Virtual instance w/ stateful firewall &
signed API call
 Host vs Guest
 SSH, Firewall by IP, port 80, 443, 50000
 API through X509


Security Consideration (II)

 The Hypervisor
 Isolated instance
 Network security
 DDoS
 Man in the middle
 IP Spoofing
 Port scanning
Packet filtering
 Data management


Grid versus Cloud Computing

 Cloud = Services, On-demand and Service Oriented
 Cloud users don't own infrastructure. They rent it.
 Cloud evolved from Grid, but provides application- delivery
transparency!
 Grid = High Performance Infrastructure for a specific
purpose


Cloud Computing Technology Trend Watch

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