Grid computing : the savvy manager's guide

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Title:

Personal Author:

Plaszczak, Pawel

Publication Information:

San Francisco, CA : Elsevier/Morgan Kaufmann, 2005

ISBN:

9780127425030

Subject Term:

Computational grids (Computer systems)

Added Author:

Wellner, Richard

Available:*

Library	Item Barcode	Call Number	Material Type	Item Category 1	Status
Searching... PSZ JB	30000010104150	QA76.9.C58 P52 2005	Open Access Book	Book	Searching... Unknown
Searching... PSZ JB	30000010168953	QA76.9.C58 P52 2005	Open Access Book	Book	Searching... Unknown

A decade ago, the corporate world viewed grid computing as a curiosity. Today, it views it as an opportunity--a chance to reduce costs, improve performance, fund new projects, and take advantage of under-utilized capacity. The engineering behind this transformation has been amply documented. Until now, however, little has been written to prepare managers, executives, and other decision-makers to implement grid computing in a sensible and effective way.

Grid Computing: The Savvy Manager's Guide examines the technology from a rigorous business perspective, equipping you with the practical knowledge you need to assess your options and determine what grid computing approach is right for your enterprise. This book is heavy on real-world experience, distilling from a rich assortment of case studies the best practices currently at work in a variety of industries. Always attentive to grid computing's many competitive advantages, it is also realistic about the challenges of selling the idea to staff and making it a part of your company's culture.

Author Notes

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Foreword	p. xiii
Preface	p. xv
1 Introduction	p. 1
Problems of today and promise of Grid computing	p. 5
A vision of the Grid	p. 6
Example 1 Techman runs simulations using on-demand CPU-hours	p. 6
Example 2 HydroTech offers secure, remote processing of sensitive data	p. 9
Example 3 InvestIT automatically acquires information on foreign markets for niche customers	p. 10
The feel of the Grid today	p. 12
Google and the World Wide Web	p. 13
Travelocity, Sabre, and Global Distribution Systems	p. 17
Summary	p. 23
2 The Basics	p. 25
This chapter in two paragraphs	p. 25
Scientific roots	p. 26
Early proto-grids (meta-computers)	p. 29
Noncomputational resources	p. 33
Virtualization	p. 35
Note on the term virtualization	p. 37
Scientific roots: Summary	p. 37
Business perspective	p. 38
Standing on the shoulders of giants	p. 38
Web services	p. 39
Service-oriented architecture	p. 39
Today's Web services are not enough	p. 40
The prospect of utility computing	p. 41
Business meets academia	p. 42
WS-Resource Framework	p. 44
Note on the term Grid service	p. 45
The meaning of WSRF	p. 45
Note: OGSI, the predecessor to WSRF	p. 46
Virtual organization	p. 47
Security for virtual organizations	p. 48
The case for Open Grid Service Architecture	p. 50
OGSA services: Overview	p. 53
Virtual organization	p. 53
Composition, grouping, orchestration, workflow	p. 53
Transactions	p. 54
Metering, accounting, and billing	p. 54
Installation, deployment, provisioning	p. 54
Application contents	p. 54
Information and monitoring	p. 55
Logging	p. 55
Messaging	p. 55
Security	p. 55
Policy	p. 56
Data	p. 56
Program execution	p. 56
Grid computing defined and redefined	p. 57
Note on spelling of "grids," "Grid," and "Grid computing"	p. 60
Disagreement on the definitions	p. 60
Cluster of clusters	p. 61
Cycle scavenging	p. 61
Grid versus distributed computing	p. 61
Grid versus Web services	p. 62
Grid versus peer-to-peer (P2P)	p. 62
Other definitions of Grid computing	p. 63
Will there be the Grid?	p. 63
3 Grid Computing Enters Business	p. 65
How the market understands grids	p. 66
Departmental grids	p. 66
Enterprise grids	p. 68
Partner grids	p. 69
Open grids and the Grid	p. 70
Taxonomy summary	p. 71
What is the market?	p. 72
The educational and public research market	p. 72
Engineering and manufacturing	p. 73
Life sciences	p. 73
Financial sector	p. 74
The future market	p. 74
How can market segmentation hamper open grids?	p. 74
Case study: The MCNC Enterprise Grid	p. 76
Service	p. 77
Customers	p. 78
Financials	p. 79
Resources	p. 80
Location	p. 81
Who is who: The ecosystem of the Grid	p. 82
Standard bodies and consortia	p. 83
Academic projects and groups of interest	p. 84
Large vendors	p. 85
Grid-specializing vendors and niche vendors	p. 86
Application vendors	p. 87
Vendor taxonomy according to the 451	p. 88
Grid resource providers	p. 88
Consultants	p. 89
Media and other information providers	p. 90
The panorama of today's products	p. 90
Distributed resource management	p. 91
SUN N1 Grid Engine family	p. 91
LSF Suite from Platform Computing	p. 92
Service containers and hosting environments	p. 94
Note on service containers, server containers, and service provisioning systems	p. 95
Globus Toolkit 4 Grid service container	p. 95
Portals and end-user interfaces to the Grid	p. 97
Security solutions	p. 98
Data solutions	p. 99
Avaki	p. 99
Applications	p. 101
Case Study: The NEESgrid cyberinfrastructure	p. 101
Technical overview	p. 103
Hardware	p. 105
Software	p. 106
Planning the communication with users	p. 106
Testing and quality management	p. 108
Accomplishments	p. 109
Summary	p. 109
4 Joining the Grid	p. 111
Strategies for participating	p. 113
What does it mean to "plug in"?	p. 114
Build an enterprise grid	p. 114
Case study: Wachovia's Grid-powered trade floor	p. 116
Business case	p. 117
Transition	p. 117
Applications	p. 118
Standards	p. 119
Summary	p. 119
Participate in a partner grid	p. 120
Join the industry-wide Grid as end-user	p. 123
Case study: Synopsys: Software release engineering on the Grid	p. 125
Deploy monitoring before transition	p. 127
The transition	p. 127
Technology	p. 129
Problems	p. 130
Summary	p. 131
What does it mean to provide a Grid-enabled solution?	p. 131
Become a Grid infrastructure provider	p. 131
Become a service provider on the Grid	p. 134
Provide a Grid-enabled product	p. 136
Refactor application for horizontal scalability and on-demand business model	p. 136
Refactor applications for Grid-compliant connectivity	p. 138
Become a middleware vendor	p. 140
Case study: Rolls-Royce and Data Systems & Solutions develop grid for Equipment Health Monitoring	p. 141
The support services model	p. 141
Data systems & solutions	p. 142
Equipment Health Monitoring (EHM) problem description	p. 143
DAME	p. 146
Generalization	p. 146
Analysis	p. 147
Summary	p. 149
5 Technical Issues	p. 151
High-level system design	p. 151
Organizational security requirements and firewalls	p. 152
Data sensitivity	p. 154
CPU peak requirements and duty cycles	p. 155
Data storage	p. 156
Internet bandwidth availability	p. 157
Existing resources	p. 159
Custom resources	p. 160
Potential for porting	p. 162
Side trip: Analogies	p. 163
The Web	p. 163
Peer to Peer	p. 164
CORBA, DCOM	p. 164
Technology Areas	p. 165
Data management and databases	p. 165
Secure remote access	p. 166
Taking advantage of clusters	p. 167
Secure delegation	p. 167
Federated databases	p. 167
Storage management	p. 169
Resource management	p. 173
Supercomputers	p. 174
Clusters and farms	p. 175
On-demand CPU resources	p. 175
Workflow management	p. 176
Guaranteed execution	p. 177
Security	p. 177
Internal versus external security	p. 178
Techman case revisited	p. 179
Feasibility study	p. 182
Authorization scalability and federations	p. 183
Other security concerns	p. 185
Pragmatic view	p. 185
Other Grid security solutions	p. 186
Where do the standards go?	p. 188
Security summary	p. 189
6 Management Issues	p. 191
Building and selling Grid business case	p. 191
Identify problems to solve	p. 193
Marketing mix	p. 196
Product and product differential advantage	p. 196
Price	p. 198
Promotion	p. 201
Place (channels)	p. 202
Press	p. 203
Events	p. 204
Partnering	p. 205
SWOT matrix	p. 206
Strengths	p. 206
Weakness	p. 206
Opportunities	p. 207
Risks	p. 207
Change and transition period management	p. 207
Change driven by technology	p. 208
Change driven by organization	p. 208
Change resulting from introduction of new products	p. 209
Change readiness	p. 209
Identify charismatic leaders	p. 209
Motivate people	p. 210
Minimize hierarchy	p. 210
Planning the change	p. 211
Engage team to identifying solutions	p. 211
Construct the vision shared by everyone	p. 212
Build a sensible deployment plan	p. 212
Start transition from peripheries and let it radiate	p. 213
Adjust strategy to the observed transition process	p. 213
Address human factor	p. 213
Single change versus constant change	p. 214
Migrate in three stages	p. 214
Scale up the pilot system	p. 215
Internal change first, external later	p. 215
Role of consultants	p. 215
Do you need a consultant?	p. 216
Precisely Define the consultant's mission	p. 217
Understand the interest of the consultant	p. 217
Be actively involved in the mission	p. 217
Engage external resources for diagnosis	p. 218
Gradually transfer responsibilities	p. 218
Be prepared to take over	p. 218
Risk mitigation	p. 218
Execution risk management: the traditional approach	p. 219
Risk identification	p. 219
Risk quantification	p. 220
Risk response development	p. 220
Risk response control	p. 220
Fighting white space risk through rapid-result initiatives	p. 221
Result-oriented	p. 222
Vertical	p. 222
Fast	p. 223
Independent	p. 223
White space in the Grids sector	p. 223
Focus on selected elements of SOA	p. 224
Run the complete system for a short while	p. 224
Build complete microscale system	p. 225
Agile development	p. 225
Anticipate shift of requirements	p. 227
Refactor rather than design in advance	p. 228
Engage developers in decision making	p. 228
Code is the documentation	p. 229
Pair programming	p. 230
Test-driven programming	p. 231
Institutionalize the process	p. 232
The Globus Campaign System	p. 232
Treat customers as partners	p. 233
Treat developers as partners	p. 234
Summary	p. 235
Afterword	p. 237
Index	p. 239

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Author Notes

Table of Contents