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E-raamat: Cloud Enterprise Architecture

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(Enterprise Architecture Consultant, Wipro Consulting Services, Bangalore, India)
  • Formaat: 528 pages
  • Ilmumisaeg: 24-Oct-2012
  • Kirjastus: Auerbach
  • Keel: eng
  • ISBN-13: 9781466589070
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Cloud Enterprise ArchitectureSuurem pilt
  • Formaat: 528 pages
  • Ilmumisaeg: 24-Oct-2012
  • Kirjastus: Auerbach
  • Keel: eng
  • ISBN-13: 9781466589070
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Cloud Enterprise Architecture examines enterprise architecture (EA) in the context of the surging popularity of Cloud computing. It explains the different kinds of desired transformations the architectural blocks of EA undergo in light of this strategically significant convergence. Chapters cover each of the contributing architectures of EA—business, information, application, integration, security, and technology—illustrating the current and impending implications of the Cloud on each.

Discussing the implications of the Cloud paradigm on EA, the book details the perceptible and positive changes that will affect EA design, governance, strategy, management, and sustenance. The author ties these topics together with chapters on Cloud integration and composition architecture. He also examines the Enterprise Cloud, Federated Clouds, and the vision to establish the InterCloud. Laying out a comprehensive strategy for planning and executing Cloud-inspired transformations, the book:

  • Explains how the Cloud changes and affects enterprise architecture design, governance, strategy, management, and sustenance
  • Presents helpful information on next-generation Cloud computing
  • Describes additional architectural types such as enterprise-scale integration, security, management, and governance architectures

This book is an ideal resource for enterprise architects, Cloud evangelists and enthusiasts, and Cloud application and service architects. Cloud center administrators, Cloud business executives, managers, and analysts will also find the book helpful and inspirational while formulating appropriate mechanisms and schemes for sound modernization and migration of traditional applications to Cloud infrastructures and platforms.

Arvustused

a useful source of information for enterprise architects, managers, and directors of organizations, as well as students and researchers in the fields of Cloud computing and EA. It provides a thorough and timely investigation of the convergence of cloud computing, on one hand, and enterprise data, applications, and infrastructure architectures, on the other. It is a welcome addition to the body of existing knowledge in these fields and emerging new technologies.Zaigham Mahmood, School of Computing and Mathematics, University of Derby, UK

Foreword xxiii
Preface xxv
Acknowledgments xxxi
Author xxxiii
CEA Book Audience and Key Takeaways xxxv
Chapter 1 Cloud-Enabled Smart Enterprises!
1(40)
Introduction
1(1)
The Brewing IT Trends & Technologies
2(6)
Trekking toward the Smart World
8(2)
Revisiting the Enterprise Journey
10(6)
Dynamic Enterprises
11(1)
Adaptive Enterprises
12(1)
On-Demand Enterprises
13(1)
Globally Integrated Enterprises
13(1)
Liquid Enterprises
14(1)
Proactive Enterprises
14(1)
Connected Enterprises
15(1)
Service-Oriented Enterprises
16(5)
Service Thinking for Next-Generation Enterprises
16(1)
The Service Paradigm
17(1)
Service-Oriented Architecture
18(1)
Enterprise-Scale Architectural Approaches
19(1)
Elucidating SOEs
20(1)
Cloud Enterprises
21(9)
The Onset of Connected Clouds
22(1)
Autonomic Clouds
23(1)
Federated Clouds
24(2)
The Intercloud
26(1)
Ambient Cloud
26(1)
Instant-On Enterprises
27(1)
Enterprise-Class Attributes for Successful Cloud Solutions
28(1)
Extremely Integrated Enterprises
29(1)
Smart Enterprises
30(2)
The Enabling Mechanisms of Smart Enterprises
32(7)
Service Computing
33(1)
Advanced Analytics
33(1)
Event-Driven Architecture
34(1)
Big Data Computing
34(1)
In-Memory Computing
35(1)
Cloud Computing
36(1)
Smarter Homes
36(2)
Smarter Cars
38(1)
Smarter Environments
38(1)
Conclusion
39(1)
References
39(2)
Chapter 2 Cloud-Inspired Enterprise Transformations!
41(30)
Introduction
41(1)
The Cloud Scheme for Enterprise Success
42(2)
Elucidating the Evolving Cloud Idea
44(9)
Cloud Technologies
46(1)
Cloud-Induced Innovations
47(2)
Why Cloud Enablement and Empowerment?
49(1)
Implementing Smarter Environments via Clouds
50(1)
Application Domains
51(1)
The Future
51(1)
The Intercloud
51(2)
Implications of the Cloud on Enterprise Strategy
53(1)
Establishing a Cloud-Incorporated Business Strategy
54(6)
New-Generation Business Models
55(1)
The Business Process Journey
56(1)
Service-Oriented Processes
56(1)
Event-Driven Business Processes
57(1)
Communication-Enabled Business Processes
58(1)
Analytics-Attached Business Processes
59(1)
Cloud-Impacted Business Processes
59(1)
Transitioning to Cloud-Centric Enterprises: The Tuning Methodology
60(1)
Service Categorization
60(4)
The Selection Criteria of Services
61(1)
Leveraging EA Frameworks for an Enterprise-Wide and Long-Lasting Cloud Strategy
62(1)
Utilizing a Hybrid Cloud
62(1)
Pondering Cloud Modernization and Migration
63(1)
Transitioning from Data Centers to Cloud Centers
64(1)
Creating Cloud-Centric Enterprise Policies
64(1)
Contract Management in the Cloud
64(4)
Cloud Contract Characteristics
66(1)
Cloud Participants
67(1)
Role of EA in Defining the Contracts with CSPs and CSBs
67(1)
Conclusion
68(1)
References
69(2)
Chapter 3 Cloud-Instigated IT Transformations!
71(32)
Introduction
71(1)
Explaining Cloud Infrastructures
72(6)
Cloud Computing Infrastructure
73(1)
Cloud Communications Infrastructure
74(2)
Virtualization for the Communication Industry
76(1)
The Cloud Inspires the UC Paradigm
76(1)
Communication as a Service
77(1)
A Briefing on Next-Generation Services
78(4)
Emerging Cloud Types
79(1)
Ambient Cloud
80(2)
Service Infrastructures
82(2)
Cloud Infrastructures
84(2)
Cloud Infrastructure Evaluation Parameters
85(1)
Cloud Infrastructure Capabilities
86(1)
Cloud Infrastructure Solutions
86(6)
Identity and Access Management Suite
87(1)
Cloud Infrastructure Management Solutions
88(1)
Automated Management
88(1)
Resource Provisioning
89(1)
Cloud Performance and Scalability
89(1)
End-to-End Cloud Service Visibility
89(1)
Security Management and Federation
90(1)
Cloud SDP
90(1)
Responsible Cloud Infrastructure
90(2)
Clouds for Business Continuity
92(1)
The Relevance of Private Clouds
93(2)
The Emergence of Enterprise Clouds
95(4)
Affordability
97(1)
Resource Slicing, Pooling, and Sharing
97(1)
Clouds Are Lean and Green
97(1)
Decoupling of Software from Hardware
98(1)
Virtualized Data Storage and Management
98(1)
Data and Disaster Recovery and Business Continuity
98(1)
Automated Tools
98(1)
Multitenancy and Shared Environment
99(1)
Conclusion
99(1)
References
100(3)
Chapter 4 Cloud EA: Frameworks and Platforms
103(32)
Introduction
103(2)
Simplifying EA Development
105(2)
Why EA is the Preferred Approach
105(2)
The Zachman Framework
107(1)
The Open Group Architecture Framework (TOGAF)
108(9)
A Content Model
113(2)
Architecture Repository
115(1)
TOGAF Reference Models
116(1)
The Federal Enterprise Architecture
117(3)
The Oracle EA Framework
120(6)
The Business Architecture (BA)
121(1)
Application Architecture
122(1)
Information Architecture
122(1)
Technology Architecture
123(1)
People, Process, and Tools
123(3)
IBM's Actionable EA
126(2)
Enterprise Architecture Tools
128(5)
Conclusion
133(1)
References
133(2)
Chapter 5 Cloud Application Architecture
135(48)
Introduction
135(2)
Cloud Application Architecture
137(1)
Services as Enterprise Building Blocks
138(1)
Amazing Differentiators of SOA
139(2)
Key Drivers for NG-SOA
141(3)
The Growth Trajectory of the SOA
142(2)
Exemplary Enhancements in the Service Paradigm
144(14)
Process-Centric SOA for Flexibility, Agility, and Adaptivity
144(3)
Model-Driven SOA for Application Productivity and Portability
147(1)
Event-Driven SOA for Proactive and Real-Time Systems
148(2)
Service-Oriented BI
150(1)
The SCA for Simplified Construction and Composition
151(3)
Agent-Driven SOA for Awareness and Smartness
154(1)
Semantic SOA for Automation and Dynamism
155(1)
Service Virtualization for Simpler Service Plug and Play
156(2)
Exciting Service Capabilities
158(8)
Service Composition
158(3)
Service Composites
161(1)
Service Meshes
162(2)
Service Mashups
164(2)
Dynamic and Converged Service Infrastructures
166(6)
Service Grids
166(1)
SOA Fabrics
167(3)
Cloud-Hosted Service Middleware
170(1)
Middleware for Embedded SOA
170(2)
Direct and Distinct Impacts of NG-SOA
172(8)
The Service Oriented Enterprises (SOEs)
172(1)
Smart Hospital
172(2)
Rich Enterprise Applications
174(1)
Service-Oriented Business Applications
175(1)
Dynamic Business Applications
176(1)
Multienterprise Business Applications
177(1)
Real-Time and Dynamic Enterprises
178(2)
Integrated, Adaptive, and Modernized Enterprises
180(1)
Conclusion
180(1)
References
181(2)
Chapter 6 Cloud Data Architecture
183(44)
Introduction
183(2)
A Perspective on Big-Data Computing
185(4)
Why Big-Data Computing?
187(2)
A Look at Big-Data Infrastructure
189(7)
NoSQL Databases
190(1)
Why NoSQL Databases?
191(1)
Simplified Data Representation
192(1)
End-to-End Transactions
192(1)
Enterprise-Grade Durability
192(1)
Classification of NoSQL Databases
193(1)
Key-Value Stores
193(1)
Column Family Databases
193(1)
Document Databases
194(1)
Graph Databases
194(1)
Cloud Databases
195(1)
The Hadoop Software Family
196(4)
Functional Features of Big-Data Infrastructures
196(2)
Acquisition of Big Data
198(1)
Organizing Big Data
199(1)
Analyzing Big Data
199(1)
Information-Oriented Architecture for Cloud Environments
200(8)
Characteristics of IOA
201(1)
The IOA Ecosystem
201(1)
Leading BI Applications
202(2)
The BI Application Infrastructures
204(1)
Data Storage Infrastructures
205(1)
The BI Middleware
206(2)
A Detailed Look at Data Integration
208(5)
Types of Data Integration
212(1)
Physical Data Integration
212(1)
Virtual Data Integration
213(1)
Comparison of EII versus ETL
213(1)
Comparison of EAI versus ETL
214(1)
Generic Criteria for Selecting a Data Integration Tool
214(1)
Business Drivers for Data Integration
215(2)
Top Five Functional Capabilities of Any Data Integration Solution
217(3)
Data Movement with Core ETL
217(1)
Data Movement with Next-Generation ELT
217(1)
Data Synchronization
218(1)
Data Quality
218(1)
Data Management
219(1)
Data Governance
219(1)
Data Services
220(1)
The SOA-Aware Data Services
220(1)
Enterprise Data Mashups
221(1)
Oracle's Big-Data Solution
221(2)
Hardware Components
222(1)
Software Components
223(1)
Cloud Analytics
223(1)
Summary
224(1)
References
225(2)
Chapter 7 Cloud Technology Architecture
227(40)
Introduction
227(3)
Generic Cloud Types
230(6)
Public Cloud
231(2)
Private Cloud
233(1)
Community Cloud
234(1)
Hybrid Cloud
235(1)
Next-Generation Connected Clouds
236(2)
Cloud Middleware Deployment Scenarios
238(9)
Cloud Composition and Collaboration
241(1)
Cloud Orchestration
241(1)
Cloud Collaboration
242(1)
Scenarios for Cloud Brokers
243(1)
Scenarios
244(1)
Cloud Reference Architecture
244(1)
Scenarios for the Cloud Management Broker
244(3)
The Cloud Service Broker (CSB) Deployment Models
247(11)
ESB Deployment Styles
248(1)
Hub-and-Spoke Style
248(3)
Distributed Service Bus
251(2)
Variations in ESB Deployment
253(2)
Peer-to-Peer ESB Deployment Model
255(2)
Cloud-Ready Mule ESB
257(1)
Cloud Appliances: The Deployment Method
258(1)
Deployment Challenges
258(1)
Localization
258(1)
Routing
259(1)
Authentication
259(1)
Cloud Deployment Strategy: The Formula
259(4)
Step 1 Map the Network
260(1)
Step 2 Classify Assets
261(1)
Step 3 Map Assets to Cloud Deployment Models
261(1)
Step 4 Evaluate Potential Cloud Service Models and Providers
261(2)
The Future
263(1)
Conclusion
264(1)
References
264(3)
Chapter 8 Cloud Integration Architecture
267(50)
Introduction
267(1)
Cloud Integration: Origin and Evolution
268(2)
The Emergence of "IT as a Service"
269(1)
Integration as a Service
269(1)
Approaches for Cloud Integration
270(6)
Integration Approaches
271(2)
Pervasive Software, Inc.
273(1)
Impacts of the Cloud Paradigm
273(1)
The Cloud Integration Enigma
274(2)
Cloud Integration Concerns and Challenges
276(5)
Cloud Integration Scenarios
278(1)
Integration within a Public Cloud
279(1)
Homogeneous Clouds
279(1)
Heterogeneous Clouds
279(1)
Restricted Access
280(1)
Dynamic Resources
281(1)
Performance
281(1)
Cloud Integration: Methodologies and Life Cycle
281(5)
Cloud Integration Methodologies
282(2)
Characteristics of Cloud Integration Solutions
284(1)
Data Integration Engineering Life Cycle
285(1)
Cloud Integration Products and Platforms
286(9)
Jitterbit
287(1)
Boomi Software
288(1)
Bungee Connect
289(1)
OpSource Connect
289(1)
SnapLogic
290(1)
Windows Azure AppFabric
290(1)
Bluewolf
291(1)
Oracle SOA Suite 11g
292(1)
Magic Software's iBOLT
292(1)
WebSpan
293(1)
Adeptia Salesforce Integration Accelerator
293(1)
Online MQ
293(1)
CloudMQ
294(1)
Linxter
294(1)
Microsoft ISB
295(1)
Cloud Integration Appliances
295(2)
Cast Iron Systems, Inc.
295(2)
Cloud Interoperation Methods
297(4)
Unified Cloud Interface/Cloud Broker
297(1)
Enterprise Cloud Orchestration Platform
298(1)
Peer-to-Peer Approach for Cloud Integration
299(1)
Benefits of Hybrid and p2p Cloud-Based ESB Architecture
300(1)
Cloud Integration Services
301(8)
Informatica On-Demand
301(1)
Businesses-to-Business Integration Services
302(2)
Cloud-Based Enterprise Mashup Integration Services for B2B Scenarios
304(2)
Enterprise Mashup Platforms and Tools
306(2)
Message Queue
308(1)
Persistent Storage
308(1)
Translation Engine
308(1)
Interaction between Mashup Services
308(1)
A Framework of Sensor-Cloud Integration
309(6)
Stream Monitoring and Processing Component
312(1)
Registry Component
313(1)
Analyzer Component
313(1)
The DC
313(1)
Mediator
314(1)
The PR
314(1)
The CA
314(1)
Conclusion
315(1)
References
316(1)
Chapter 9 Cloud Management Architecture
317(38)
Introduction
317(2)
Cloud Service Management
319(5)
Why Do Cloud Resources Need to Be Managed?
319(2)
IT Service Management
321(1)
Service Assets and Configuration Management
322(1)
Service Catalog Management and Request Fulfillment
323(1)
Financial Management
324(1)
Challenges Involved in CSM
324(4)
A Sample Scenario
325(1)
Complications of Cloud Centers
325(1)
Complexity Moderation Techniques and Tips
326(2)
CSM Processes
328(6)
Change Management
329(1)
Problem Management
330(1)
Release Management
331(1)
Security Management
332(1)
Capacity Management
332(1)
Service Continuity Management
333(1)
Service Level Management
334(1)
Cloud Management Solutions
334(13)
Key Attributes of Cloud Management Solutions
335(1)
Cloud Management Software Benefits
336(2)
The BMC Cloud Management Solution
338(2)
The VMware and NetApp Combination
340(1)
The BMC and VMware Combination
341(3)
Automation of CMDB for Instant Success in Change Management
344(1)
Innovations in Analytics and Correlation for Proactive Management and Efficient Root Cause Analysis
345(1)
Service Discovery and Impact Analysis to Align IT with Business
346(1)
Semantic Technologies for Cloud Information Management
347(5)
Data Integration
348(1)
Collaborative Documentation and Annotation
348(1)
Intelligent Information Access and Analytics
349(2)
The eCloudManager Ontology
351(1)
Conclusion
352(1)
References
353(2)
Chapter 10 Cloud Security Architecture (CSA)
355(48)
Introduction
355(2)
Security Implications of Cloud Computing
357(1)
Key Cloud Security Issues
358(4)
Cloud Data Confidentiality
359(1)
Cloud Data Integrity
360(1)
Cloud System Availability
360(2)
Virtualization-Induced Cloud Security Issues
362(3)
Security Threats of the Intercloud
364(1)
Cloud Security Solutions
365(12)
Crafting a Comprehensive Threat Model
365(1)
Security-Enablement Approaches
366(1)
Cloud Infrastructure Security
366(4)
Information Security
370(3)
Identity and Access Management
373(3)
End-User Devices Security
376(1)
Emerging Cloud Security Mechanisms
377(8)
Policy-Based Cloud Security Enforcement (Ulrich Lang, ObjectSecurity, USA)
377(1)
Why Model-Driven Security (MDS)?
378(2)
Policy as a Service
380(1)
Why Policy-Based Automation at the Cloud?
380(1)
Information Lifecycle Management in the Cloud
381(1)
Data Dependability
382(1)
Data Location
382(1)
Data Isolation
382(1)
Data Recovery and Restoration
382(1)
Data Discovery
382(1)
Data Aggregation and Inference
382(1)
Data Abolition
383(1)
Trusted Cloud Computing
383(2)
Cloud Security Patterns
385(4)
Security Gateways
386(1)
Monitoring and Logging
387(1)
Security Token Services
387(1)
Policy Enforcement Points
388(1)
Cloud Security Best Practices
389(2)
Assessment and Reliability Audits
389(1)
Security Compliance
390(1)
Cloud Risk Management Framework
391(1)
Why the SaaS-based "Security as a Service" Model?
391(4)
Security as a Service
391(1)
Security Compliance as a Service
392(1)
Affordability
393(1)
Business Continuity
393(1)
Global Coverage
394(1)
Cloud Security Proprietary Solutions
395(5)
Joyent SmartOS: Hardened Kernel
395(1)
SmartMachine Security
395(1)
Security Gateways
396(1)
Navajo Systems Virtual Private SaaS
397(1)
Vormetric Data Security
398(2)
Intel Service Gateway
400(1)
Conclusion
400(1)
References
401(2)
Chapter 11 Cloud Governance Architecture
403(48)
Introduction
403(2)
Emergence of Cloud Services and Applications
405(4)
Clouds: The Robust and Resilient Platform for Business Services
407(2)
Evolution of Governance Principles, Policies, Practices, and Products
409(9)
SOA Governance
411(2)
Strong and Sustainable Governance for Agility
413(2)
Data Governance
415(2)
Define What Data Governance Means to an Organization
417(1)
Determine Which Data Management Functions to Include
417(1)
Overview of Cloud Governance
418(11)
Design-Time Cloud Governance
421(1)
Runtime Cloud Governance
422(1)
Policies for Runtime Cloud Governance
423(1)
Policy Engineering
423(1)
Policy Enforcement
424(1)
Virtual Policy Enforcement Point
425(1)
Policy Enforcement on Outgoing Traffic
425(1)
Policy Enforcement on Incoming Traffic
426(2)
Policy Enforcement on Cloud Services
428(1)
A Methodology for Cloud Governance
429(4)
Cloud Evaluation Phase
430(1)
Cloud Governance Definition Phase
430(1)
Develop Relationship with Providers
431(1)
Cloud Governance Execution Phase
432(1)
Build Management and Monitoring Layer
432(1)
Set Up PEPs in DMZ
432(1)
Deploy Virtual PEPs in the Cloud
433(1)
Integrate Heavy Components Later
433(1)
Operational and Review Phase
433(1)
Why Is Cloud Governance Imperative?
433(3)
Guaranteeing Reliability
435(1)
Managing Cloud Services
435(1)
Managing Scale
435(1)
Managing Cloud Ecosystems
436(1)
Cloud Governance: Best Practices
436(5)
Service Value Chain Enablement
437(1)
Process Innovation
438(1)
Risks Identification and Control
438(1)
Building Trust
439(2)
Cloud Governance Solutions
441(2)
Things to Look for in a Cloud Governance Solution
441(2)
Vordel CSB
443(4)
Elements of Cloud Governance
444(1)
Analytics of Cloud Usage
444(1)
Content Analysis
445(1)
Caching
445(1)
Monitoring SLA
445(1)
Traffic Throttling
445(1)
Event Alerting
446(1)
Identity as the Key
446(1)
Connecting an Enterprise to a Cloud
446(1)
Composition of Cloud Services
446(1)
Enabling the CSP
447(1)
Enabling Cloud Service Brokerages
447(1)
Conclusion
447(1)
References
448(3)
Chapter 12 Cloud Onboarding Best Practices
451(20)
Introduction
451(1)
A Perspective on Cloud Onboarding
452(4)
Benefits of Cloud Onboarding
452(1)
Application Migration: A Case Study
453(1)
Cloud Onboarding Use Cases
454(1)
Top Considerations for Cloud Onboarding
455(1)
A Cloud Onboarding Process
456(2)
The Evaluate Step
457(1)
The Select Step
457(1)
The Migrate Step
458(1)
Application Evaluation Criteria
458(2)
Application Dependency Mapping
460(2)
The Optimize Step
461(1)
The Operate Step
462(1)
Cloud Onboarding Services
462(1)
Emergence of Cloud Enterprises
462(1)
Cloud Advisory and Advocacy Services
463(4)
Cloud Adoption Assessment Service
464(1)
Cloud Design Service
464(2)
Cloud Development Service
466(1)
Cloud Management and Operations
466(1)
Cloud Implementation and Migration Services
466(1)
Cloud Protection Service
467(1)
Cloud Support Services
467(1)
Cloud Center Transformation Implementation Services
467(1)
The Roles of the Cloud in Structuring and Sustaining Next-Generation Business Enterprises
467(1)
Conclusion
468(1)
References
469(2)
Index 471
Having obtained the competitive UGC research fellowship, Pethuru Raj, PhD successfully obtained a PhD from Anna University, Chennai, India. He then obtained a CSIR fellowship to work as a postdoctoral researcher in the Department of Computer Science and Automation (CSA), Indian Institute of Science (IISc), Bangalore. Thereafter, he was granted a couple of international fellowships (JSPS and JST) to work as a research scientist for 3 years in two leading Japanese universities. Dr. Raj, worked as a lead architect in the corporate research (CR) division of Robert Bosch, India, for 1.5 years.

Dr. Raj has more than 12 years of IT industry experience. Primarily, he has contributed as a technical architect for 8 years and as a software product architect for 4 years. Currently, he is working as an enterprise architecture (EA) consultant focusing on EA-inspired business transformation capabilities. His ultimate aim is to provide technology advisory services to worldwide organizations and business enterprises to enable a smooth transition to be smarter in their operations, offerings, and outputs, by articulating and empowering them to adopt, adapt, and apply proven, potential, and promising technologies, architectural styles, and process optimization methods.

Dr. Raj has acquired good knowledge on some emerging technologies such as cloud computing, service-oriented architecture (SOA), event-driven architecture (EDA), and enterprise architecture (EA). Also, he has gleaned reusable knowledge in big data computing and Hadoop, realtime and real-world cloud analytics, machine-to-machine (M2M) integration/cyber physical systems (CPS), high-performance system design, and the development methods of smartphone applications. He has made use of the opportunities that came my way to focus on a few business domains, including telecommunication, retail, government, energy, and health care. Dr. Raj has contributed book chapters for a number of technology books that were edited by internationally acclaimed professors and published by leading publishing houses.
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