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Lean computing for the cloud / / Eric Bauer
Lean computing for the cloud / / Eric Bauer
Autore Bauer Eric
Pubbl/distr/stampa Piscataway, New Jersey : , : IEEE Press, 2016
Descrizione fisica 1 online resource (255 p.)
Disciplina 004.6782
Soggetto topico Cloud computing
ISBN 1-119-23232-5
1-119-23235-X
1-119-23230-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction xi -- Acknowledgments xv -- Abbreviations xvii -- 1. Basics 1 -- 1.1 Cloud Computing Fundamentals 1 -- 1.2 Roles in Cloud Computing 6 -- 1.3 Applications 9 -- 1.3.1 Application Service Quality 11 -- 1.4 Demand, Supply, Capacity, and Fungibility 13 -- 1.5 Demand Variability 16 -- 1.6 Chapter Review 18 -- 2. Rethinking Capacity Management 19 -- 2.1 Capacity Management 19 -- 2.2 Demand Management 21 -- 2.3 Performance Management 21 -- 2.4 Canonical Capacity Management 23 -- 2.4.1 Traditional Capacity Management 24 -- 2.4.2 ITIL Capacity Management 27 -- 2.4.3 eTOM Capacity Management 28 -- 2.4.4 Discussion 30 -- 2.5 Three Cloud Capacity Management Problems 30 -- 2.5.1 Physical Resource Capacity Management 31 -- 2.5.2 Virtual Resource Capacity Management 32 -- 2.5.3 Application Capacity Management 33 -- 2.6 Cloud Capacity Management as a Value Chain 36 -- 2.7 Chapter Review 39 -- 3. Lean Thinking on Cloud Capacity Management 41 -- 3.1 Lean Thinking Overview 41 -- 3.2 Goal 42 -- 3.3 Seeing Waste (Nonvalue-Adding Activities) 43 -- 3.3.1 Reserve Capacity 45 -- 3.3.2 Excess Application Capacity 46 -- 3.3.3 Excess Online Infrastructure Capacity 46 -- 3.3.4 Excess Physical Infrastructure Capacity 46 -- 3.3.5 Inadequate Capacity 47 -- 3.3.6 Infrastructure Overhead 48 -- 3.3.7 Capacity Management Overhead 48 -- 3.3.8 Resource Overhead 49 -- 3.3.9 Power Management Overhead 50 -- 3.3.10 Workload Migration 50 -- 3.3.11 Complexity Overhead 51 -- 3.3.12 Resource Allocation Failure 51 -- 3.3.13 Leaking and Lost Resources 53 -- 3.3.14 Waste Heat 53 -- 3.3.15 Carbon Footprint 54 -- 3.4 Key Principles 54 -- 3.4.1 Move toward Flow 55 -- 3.4.2 Pull versus Push 55 -- 3.4.3 Level the Workload 55 -- 3.4.4 Stop and Fix Problems 55 -- 3.4.5 Master Practices 56 -- 3.4.6 Visual Management 57 -- 3.4.7 Use Well-Tested Technology 57 -- 3.4.8 Take a Long-Term Perspective 58 -- 3.4.9 Grow, Learn, and Teach Others 58 -- 3.4.10 Develop Exceptional People 58 -- 3.4.11 Partners Help Each Other Improve 58.
3.4.12 Go See 59 -- 3.4.13 Implement Rapidly 59 -- 3.4.14 Become a Learning Organization 59 -- 3.5 Pillar: Respect 59 -- 3.6 Pillar: Continuous Improvement 61 -- 3.7 Foundation 62 -- 3.8 Cadence 62 -- 3.9 Lean Capacity Management Philosophy 63 -- 3.10 Chapter Review 64 -- 4. Lean Cloud Capacity Management Strategy 67 -- 4.1 Lean Application Service Provider Strategy 68 -- 4.1.1 User Workload Placement 71 -- 4.1.2 Application Performance Management 73 -- 4.2 Lean Infrastructure Service Provider Strategies 73 -- 4.2.1 Physical Resource Capacity Management 76 -- 4.3 Full Stream Optimization 77 -- 4.4 Chapter Review 79 -- 5. Electric Power Generation as Cloud Infrastructure Analog 81 -- 5.1 Power Generation as a Cloud Infrastructure Analog 81 -- 5.2 Business Context 83 -- 5.3 Business Structure 86 -- 5.4 Technical Similarities 88 -- 5.5 Impedance and Fungibility 91 -- 5.6 Capacity Ratings 94 -- 5.7 Bottled Capacity 95 -- 5.8 Location of Production Considerations 95 -- 5.9 Demand Management 97 -- 5.10 Demand and Reserves 98 -- 5.11 Service Curtailment 99 -- 5.12 Balance and Grid Operations 100 -- 5.13 Chapter Review 103 -- 6. Application Capacity Management as an Inventory Management Problem 105 -- 6.1 The Application Capacity Management Service Delivery Chain 105 -- 6.2 Traditional Application Service Production Chain 107 -- 6.3 Elasticity and Demand-Driven Capacity Management 108 -- 6.4 Application Service as Retail Analog 110 -- 6.4.1 Locational Consideration 112 -- 6.4.2 Inventory and Capacity 112 -- 6.4.3 Service Level 113 -- 6.4.4 Inventory Carrying Costs 114 -- 6.4.5 Inventory Decision, Planning, and Ordering 115 -- 6.4.6 Agility 118 -- 6.4.7 Changing Consumption Patterns 118 -- 6.5 Chapter Review 118 -- 7. Lean Demand Management 119 -- 7.1 Infrastructure Demand Management Techniques 120 -- 7.1.1 Resource Scheduling 121 -- 7.1.2 Resource Curtailment 121 -- 7.1.3 Mandatory Demand Shaping 122 -- 7.1.4 Voluntary Demand Shaping 123 -- 7.1.5 Scheduling Maintenance Actions 123.
7.1.6 Resource Pricing 123 -- 7.2 Application Demand Management Techniques 124 -- 7.2.1 Queues and Buffers 124 -- 7.2.2 Load Balancers 124 -- 7.2.3 Overload Controls 125 -- 7.2.4 Explicit Demand Management Actions 125 -- 7.2.5 Scheduling Maintenance Actions 125 -- 7.2.6 User Pricing Strategies 126 -- 7.3 Full Stream Analysis Methodology 126 -- 7.3.1 Analyze Applications' Natural Demand Patterns 127 -- 7.3.2 Analyze Applications' Tolerances 128 -- 7.3.3 Create Attractive Infrastructure Pricing Models 129 -- 7.3.4 Deploy Optimal Infrastructure Demand Management Models 130 -- 7.4 Chapter Review 131 -- 8. Lean Reserves 133 -- 8.1 What Is Reserve Capacity? 133 -- 8.2 Uses of Reserve Capacity 135 -- 8.2.1 Random Demand Peaks 135 -- 8.2.2 Component or Resource Failure 136 -- 8.2.3 Infrastructure Element Failure 136 -- 8.2.4 Infrastructure Resource Curtailment or Demand Management Action 137 -- 8.2.5 Demand Exceeding Forecast 137 -- 8.2.6 Lead Time Demand 137 -- 8.2.7 Catastrophic Failures and Force Majeure Events 139 -- 8.3 Reserve Capacity as a Feature 139 -- 8.4 Types of Reserve Capacity 140 -- 8.4.1 Automatic Infrastructure Power Management Controls 140 -- 8.4.2 Utilize Application Reserve Capacity 141 -- 8.4.3 Place/Migrate Demand into Underutilized Capacity 141 -- 8.4.4 Grow Online Capacity 141 -- 8.4.5 Service Curtailment/Degradation 141 -- 8.4.6 Mandatory Demand Shaping 141 -- 8.4.7 Voluntary Demand Shaping 142 -- 8.4.8 Emergency Reserves 142 -- 8.5 Limits of Reserve Capacity 144 -- 8.6 Ideal Reserve 144 -- 8.6.1 Normal (Co-located) Reserve 144 -- 8.6.2 Emergency (Geographically Distributed) Reserve 146 -- 8.7 Chapter Review 147 -- 9. Lean Infrastructure Commitment 149 -- 9.1 Unit Commitment and Infrastructure Commitment 150 -- 9.2 Framing the Unit Commitment Problem 151 -- 9.3 Framing the Infrastructure Commitment Problem 153 -- 9.4 Understanding Element Startup Time 155 -- 9.5 Understanding Element Shutdown Time 157 -- 9.6 Pulling It All Together 160 -- 9.7 Chapter Review 166.
10. Lean Cloud Capacity Management Performance Indicators 167 -- 10.1 Perfect Capacity Metrics 168 -- 10.2 Capacity Management Metrics 172 -- 10.3 Infrastructure Commitment Metrics 173 -- 10.4 Waste Metrics 174 -- 10.4.1 Reserve Capacity Waste Metrics 174 -- 10.4.2 Excess Application Capacity Metrics 175 -- 10.4.3 Excess Online Infrastructure Capacity Metrics 175 -- 10.4.4 Excess Physical Infrastructure Capacity Metrics 175 -- 10.4.5 Inadequate Capacity Metrics 175 -- 10.4.6 Infrastructure Overhead Waste Metrics 176 -- 10.4.7 Capacity Management Overhead Waste Metrics 176 -- 10.4.8 Resource Overhead Waste Metrics 176 -- 10.4.9 Power Management Overhead Waste Metrics 177 -- 10.4.10 Workload Migration Metrics 177 -- 10.4.11 Complexity Overhead Metrics 178 -- 10.4.12 Resource Allocation Failure Metrics 178 -- 10.4.13 Leaking and Lost Resources 179 -- 10.4.14 Waste Heat Metrics 179 -- 10.4.15 Carbon Footprint Metrics 180 -- 10.5 Key Principle Indicators 180 -- 10.6 Cost of Poor Quality 181 -- 10.7 Metrics and Service Boundaries 182 -- 10.8 Measurements and Maturity 183 -- 10.9 Chapter Review 185 -- 11. Summary 187 -- 11.1 Cloud Computing as a Service Delivery Chain 187 -- 11.2 Lean Cloud Computing 190 -- 11.3 Reimagining Cloud Capacity 192 -- 11.4 Lean Demand Management 195 -- 11.5 Lean Reserves 197 -- 11.6 Lean Infrastructure Service Provider Considerations 198 -- 11.7 Lean Application Service Provider Considerations 198 -- 11.8 Lean Infrastructure Commitment 199 -- 11.9 Visualizing Perfect Capacity 201 -- 11.10 Lean Cloud Computing Metrics 203 -- 11.11 Concluding Remarks 204 -- References 207 -- About the Author 211 -- Index 213.
Record Nr. UNINA-9910136393403321
Bauer Eric  
Piscataway, New Jersey : , : IEEE Press, 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Lean computing for the cloud / / Eric Bauer
Lean computing for the cloud / / Eric Bauer
Autore Bauer Eric
Pubbl/distr/stampa Piscataway, New Jersey : , : IEEE Press, 2016
Descrizione fisica 1 online resource (255 p.)
Disciplina 004.6782
Soggetto topico Cloud computing
ISBN 1-119-23232-5
1-119-23235-X
1-119-23230-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction xi -- Acknowledgments xv -- Abbreviations xvii -- 1. Basics 1 -- 1.1 Cloud Computing Fundamentals 1 -- 1.2 Roles in Cloud Computing 6 -- 1.3 Applications 9 -- 1.3.1 Application Service Quality 11 -- 1.4 Demand, Supply, Capacity, and Fungibility 13 -- 1.5 Demand Variability 16 -- 1.6 Chapter Review 18 -- 2. Rethinking Capacity Management 19 -- 2.1 Capacity Management 19 -- 2.2 Demand Management 21 -- 2.3 Performance Management 21 -- 2.4 Canonical Capacity Management 23 -- 2.4.1 Traditional Capacity Management 24 -- 2.4.2 ITIL Capacity Management 27 -- 2.4.3 eTOM Capacity Management 28 -- 2.4.4 Discussion 30 -- 2.5 Three Cloud Capacity Management Problems 30 -- 2.5.1 Physical Resource Capacity Management 31 -- 2.5.2 Virtual Resource Capacity Management 32 -- 2.5.3 Application Capacity Management 33 -- 2.6 Cloud Capacity Management as a Value Chain 36 -- 2.7 Chapter Review 39 -- 3. Lean Thinking on Cloud Capacity Management 41 -- 3.1 Lean Thinking Overview 41 -- 3.2 Goal 42 -- 3.3 Seeing Waste (Nonvalue-Adding Activities) 43 -- 3.3.1 Reserve Capacity 45 -- 3.3.2 Excess Application Capacity 46 -- 3.3.3 Excess Online Infrastructure Capacity 46 -- 3.3.4 Excess Physical Infrastructure Capacity 46 -- 3.3.5 Inadequate Capacity 47 -- 3.3.6 Infrastructure Overhead 48 -- 3.3.7 Capacity Management Overhead 48 -- 3.3.8 Resource Overhead 49 -- 3.3.9 Power Management Overhead 50 -- 3.3.10 Workload Migration 50 -- 3.3.11 Complexity Overhead 51 -- 3.3.12 Resource Allocation Failure 51 -- 3.3.13 Leaking and Lost Resources 53 -- 3.3.14 Waste Heat 53 -- 3.3.15 Carbon Footprint 54 -- 3.4 Key Principles 54 -- 3.4.1 Move toward Flow 55 -- 3.4.2 Pull versus Push 55 -- 3.4.3 Level the Workload 55 -- 3.4.4 Stop and Fix Problems 55 -- 3.4.5 Master Practices 56 -- 3.4.6 Visual Management 57 -- 3.4.7 Use Well-Tested Technology 57 -- 3.4.8 Take a Long-Term Perspective 58 -- 3.4.9 Grow, Learn, and Teach Others 58 -- 3.4.10 Develop Exceptional People 58 -- 3.4.11 Partners Help Each Other Improve 58.
3.4.12 Go See 59 -- 3.4.13 Implement Rapidly 59 -- 3.4.14 Become a Learning Organization 59 -- 3.5 Pillar: Respect 59 -- 3.6 Pillar: Continuous Improvement 61 -- 3.7 Foundation 62 -- 3.8 Cadence 62 -- 3.9 Lean Capacity Management Philosophy 63 -- 3.10 Chapter Review 64 -- 4. Lean Cloud Capacity Management Strategy 67 -- 4.1 Lean Application Service Provider Strategy 68 -- 4.1.1 User Workload Placement 71 -- 4.1.2 Application Performance Management 73 -- 4.2 Lean Infrastructure Service Provider Strategies 73 -- 4.2.1 Physical Resource Capacity Management 76 -- 4.3 Full Stream Optimization 77 -- 4.4 Chapter Review 79 -- 5. Electric Power Generation as Cloud Infrastructure Analog 81 -- 5.1 Power Generation as a Cloud Infrastructure Analog 81 -- 5.2 Business Context 83 -- 5.3 Business Structure 86 -- 5.4 Technical Similarities 88 -- 5.5 Impedance and Fungibility 91 -- 5.6 Capacity Ratings 94 -- 5.7 Bottled Capacity 95 -- 5.8 Location of Production Considerations 95 -- 5.9 Demand Management 97 -- 5.10 Demand and Reserves 98 -- 5.11 Service Curtailment 99 -- 5.12 Balance and Grid Operations 100 -- 5.13 Chapter Review 103 -- 6. Application Capacity Management as an Inventory Management Problem 105 -- 6.1 The Application Capacity Management Service Delivery Chain 105 -- 6.2 Traditional Application Service Production Chain 107 -- 6.3 Elasticity and Demand-Driven Capacity Management 108 -- 6.4 Application Service as Retail Analog 110 -- 6.4.1 Locational Consideration 112 -- 6.4.2 Inventory and Capacity 112 -- 6.4.3 Service Level 113 -- 6.4.4 Inventory Carrying Costs 114 -- 6.4.5 Inventory Decision, Planning, and Ordering 115 -- 6.4.6 Agility 118 -- 6.4.7 Changing Consumption Patterns 118 -- 6.5 Chapter Review 118 -- 7. Lean Demand Management 119 -- 7.1 Infrastructure Demand Management Techniques 120 -- 7.1.1 Resource Scheduling 121 -- 7.1.2 Resource Curtailment 121 -- 7.1.3 Mandatory Demand Shaping 122 -- 7.1.4 Voluntary Demand Shaping 123 -- 7.1.5 Scheduling Maintenance Actions 123.
7.1.6 Resource Pricing 123 -- 7.2 Application Demand Management Techniques 124 -- 7.2.1 Queues and Buffers 124 -- 7.2.2 Load Balancers 124 -- 7.2.3 Overload Controls 125 -- 7.2.4 Explicit Demand Management Actions 125 -- 7.2.5 Scheduling Maintenance Actions 125 -- 7.2.6 User Pricing Strategies 126 -- 7.3 Full Stream Analysis Methodology 126 -- 7.3.1 Analyze Applications' Natural Demand Patterns 127 -- 7.3.2 Analyze Applications' Tolerances 128 -- 7.3.3 Create Attractive Infrastructure Pricing Models 129 -- 7.3.4 Deploy Optimal Infrastructure Demand Management Models 130 -- 7.4 Chapter Review 131 -- 8. Lean Reserves 133 -- 8.1 What Is Reserve Capacity? 133 -- 8.2 Uses of Reserve Capacity 135 -- 8.2.1 Random Demand Peaks 135 -- 8.2.2 Component or Resource Failure 136 -- 8.2.3 Infrastructure Element Failure 136 -- 8.2.4 Infrastructure Resource Curtailment or Demand Management Action 137 -- 8.2.5 Demand Exceeding Forecast 137 -- 8.2.6 Lead Time Demand 137 -- 8.2.7 Catastrophic Failures and Force Majeure Events 139 -- 8.3 Reserve Capacity as a Feature 139 -- 8.4 Types of Reserve Capacity 140 -- 8.4.1 Automatic Infrastructure Power Management Controls 140 -- 8.4.2 Utilize Application Reserve Capacity 141 -- 8.4.3 Place/Migrate Demand into Underutilized Capacity 141 -- 8.4.4 Grow Online Capacity 141 -- 8.4.5 Service Curtailment/Degradation 141 -- 8.4.6 Mandatory Demand Shaping 141 -- 8.4.7 Voluntary Demand Shaping 142 -- 8.4.8 Emergency Reserves 142 -- 8.5 Limits of Reserve Capacity 144 -- 8.6 Ideal Reserve 144 -- 8.6.1 Normal (Co-located) Reserve 144 -- 8.6.2 Emergency (Geographically Distributed) Reserve 146 -- 8.7 Chapter Review 147 -- 9. Lean Infrastructure Commitment 149 -- 9.1 Unit Commitment and Infrastructure Commitment 150 -- 9.2 Framing the Unit Commitment Problem 151 -- 9.3 Framing the Infrastructure Commitment Problem 153 -- 9.4 Understanding Element Startup Time 155 -- 9.5 Understanding Element Shutdown Time 157 -- 9.6 Pulling It All Together 160 -- 9.7 Chapter Review 166.
10. Lean Cloud Capacity Management Performance Indicators 167 -- 10.1 Perfect Capacity Metrics 168 -- 10.2 Capacity Management Metrics 172 -- 10.3 Infrastructure Commitment Metrics 173 -- 10.4 Waste Metrics 174 -- 10.4.1 Reserve Capacity Waste Metrics 174 -- 10.4.2 Excess Application Capacity Metrics 175 -- 10.4.3 Excess Online Infrastructure Capacity Metrics 175 -- 10.4.4 Excess Physical Infrastructure Capacity Metrics 175 -- 10.4.5 Inadequate Capacity Metrics 175 -- 10.4.6 Infrastructure Overhead Waste Metrics 176 -- 10.4.7 Capacity Management Overhead Waste Metrics 176 -- 10.4.8 Resource Overhead Waste Metrics 176 -- 10.4.9 Power Management Overhead Waste Metrics 177 -- 10.4.10 Workload Migration Metrics 177 -- 10.4.11 Complexity Overhead Metrics 178 -- 10.4.12 Resource Allocation Failure Metrics 178 -- 10.4.13 Leaking and Lost Resources 179 -- 10.4.14 Waste Heat Metrics 179 -- 10.4.15 Carbon Footprint Metrics 180 -- 10.5 Key Principle Indicators 180 -- 10.6 Cost of Poor Quality 181 -- 10.7 Metrics and Service Boundaries 182 -- 10.8 Measurements and Maturity 183 -- 10.9 Chapter Review 185 -- 11. Summary 187 -- 11.1 Cloud Computing as a Service Delivery Chain 187 -- 11.2 Lean Cloud Computing 190 -- 11.3 Reimagining Cloud Capacity 192 -- 11.4 Lean Demand Management 195 -- 11.5 Lean Reserves 197 -- 11.6 Lean Infrastructure Service Provider Considerations 198 -- 11.7 Lean Application Service Provider Considerations 198 -- 11.8 Lean Infrastructure Commitment 199 -- 11.9 Visualizing Perfect Capacity 201 -- 11.10 Lean Cloud Computing Metrics 203 -- 11.11 Concluding Remarks 204 -- References 207 -- About the Author 211 -- Index 213.
Record Nr. UNINA-9910830141703321
Bauer Eric  
Piscataway, New Jersey : , : IEEE Press, 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui