Data center management:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Burlington, CA
Arcler Press ; Toronto Academic Press
2024
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xix, 239 Seiten Illustrationen, Diagramme |
| ISBN: | 9781774697870 |
Internformat
MARC
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Datensatz im Suchindex
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Contents xxi Preface List of Figures xi List of Tables XV xvii List of Abbreviations 1 Introduction to Data Center Management Unit Introduction 1.2.2. Local Area Network (LAN) Connectivity 4 9 9 9 1.3 . Access to Entrance Domain 9 1.4 . Dispersion Network Domain 10 1.5 . Storage Zone 11 1.6.1 Manageability 1.6.2 Flexibility 1.6.3 Scalability 23 23 1.15.2 Effective energy Usage 23 1.15.3 Cooling Consideration 23 1.15.4 Major Backups 23 1.15.5 Proactive and Predictive Maintenance 23 1.15.6 Embrace DCIM 23 1.16 Data Center Management in the Future 23 Summary 25 Review Questions 25 Multiple Choice Questions 25 References 26 11 13 ' . Data Center Management Practices 1.15.1 Measurement 1.2.3. Storage Area Network (SAN) connectivity 9 1.6 Considerations of Data Center Architecture 21 1.15 1 . Functional Domains of Data Center 1.2.1. Wide Area Network (WAN) Connectivity 21 1.13 Problems of Data Center Management 1.14 Challenges in Data Center Management 22 1 1.1 . A Concept of Data Center 1.2 1.12 Data Center Management Software 14 15 2 Data Center Topologies and Network Architecture 31 1.6.4 Availability and Reliability 16 1.6.5 Efficiency of a Network 16 1.6.6 Product Solutions 17 Unit Introduction 31 1.7 Management of Data Center 18 2.1 Topologies 34 1.8 Components of Data Center Management 18 1.9 Data Center Capacity Management 20 1.10 Tools of Data Center Management 20 1.11 Services of Data Center Management 21 2.1.1 Centralized 34 2.1.2 Zoned 35 2.1.3 Top of Rack 37 2.2 Architectures 39
2.2.1 Mesh Network Architecture 39 3.3.8 Access and Correction 73 2.2.2 Three-Tier or Multi-Tier Model 40 3.3.9 Accountability 73 2.2.3 Mesh Point of Delivery (PoD) 42 73 44 3.4.1 Security and Privacy of Data 74 2.4 Cost Structure 45 3.4.2 Current Policies 75 2.5 Problems With Network Architectures 46 3.4.3 Enforcement Mechanisms 77 2.5.1 Scalability and Physical Constraints 46 3.4.4 Data Security Assessment Protocol 77 3.5 Ethical Considerations 78 3.6 Organizations Experience 82 2.5.2 Resource Oversubscription and Fragmentation 46 2.5.3 Reliability, Utilization, and Fault Tolerance 47 3.6.1 Efficiently Working Within a Regulatory Environment 82 2.5.4 Cost 48 3.6.2 Risks Regarding ‘Consent’ 83 2.5.5 Incast 48 3.6.3 Different Uses of Information 83 49 3.6.4 Concerns of Data Holder and Privacy 84 2.6.1 Fat-Tree 49 3.6.5 Digital Development in Data Security 85 2.6.2 Monsoon 50 3.6.6 Biometrics Usage 85 2.6.3 BCube and MDCube 51 3.6.7 A Cash-Based Technology 85 2.6.4 VL2 52 2.6.5 Fixing Incast 53 3.6.8 Geo-Coded Information: A Specified Set of Problems 86 3.6.9 Fixing Gaps in Regulations and Guidance 86 3.6.10 Prediction of Tomorrow’s Technology 87 2.6 Proposed Network Architectures 3 3.4 Data Protection, Confidentiality, and Security Structure 2.3 Enterprise and Cloud Service Data Centers Summary 54 Review Questions 54 Multiple Choice Questions 54 References 56 Security and Compliance in Data Protection 63 Unit Introduction 63 3.1 Authorized Concerns of Data Security 65 3.2 Strategic Possibilities and Immediate Threats 67 3.3 Existing Guidelines, Regulations, and Networks 68
Summary 89 Review Questions 89 Multiple Choice Questions 89 References 91 Λ Monitoring and ■ Management Tools Unit Introduction 97 97 4.1 Data Center Management Tools 100 4.2 Data Center Management Software Services 100 4.3 Benefits of Using Data Center Management Software 101 3.3.1 Preventing Measures 72 3.3.2 Notice 72 4.3.1 Improved Efficiency 101 3.3.3 Limitation of Collection 3.^.4 Usage Persona) Data 72 72 4.3.2 Enhanced Visibility 102 4.3.3 Increased Security 102 3.3.5 Choice 73 4.3.4 Cost Savings 102 3.3.6 The Integrity of Personal Data 73 4.3.5 Scalability 102 3.3.7 Privacy Safeguard 73 vi
4.3.6 Standardization 4.4 Limitations of Using Data Center Management Softwares 4.10.2 Benefits of Virtualization Software 102 102 4.4.1 Complexity 103 4.4.2 Compatibility Issues 103 4.4.3 Training Requirements 103 4.4.4 Security Concerns 103 4.4.5 False Sense of Security 103 4.4.6 Vendor Lock-In 103 4.5 Server Management Software 104 4.5.1 Server Monitoring Software 105 4.5.2 Server Configuration Management Software 105 4.5.3 Server Backup and Recovery Software 105 4.5.4 Benefits of Server Management Software 4.5.5 Challenges of Server Management Software 4.6 Storage Management Software 4.6.1 Features of Storage Management Software 4.11 Methodology for Selecting a Data Center Management Tool 123 4.12 Best Data Center Management Software 123 4.12.1 SolarWinds Network Performance Monitor 124 4.12.2 Paessler PRTG Network Monitor 125 4.12.3 ManageEngine OpManager 127 4.12.4 NLyte Software 130 4.12.5 KaseyaVSA 132 4.12.6 Device42 134 4.12.7 Zabbix 135 Summary 138 Review Questions 138 Multiple Choice Questions 106 122 References 138 140 107 107 C Virtualization and ” Cloud Computing 108 147 4.6.2 Types of Storage Management Software 109 4.6.3 Benefits of Storage Management Software ' 110 4.6.4 Examples of Storage Management Software 111 4.7 Network Management Software 112 4.7.1 Network Monitoring Tools 113 4.7.2 Network Performance Analysis Tools 113 4.7.3 Network Configuration Management Tools 114 Unit Introduction 5.1 Need for Virtualization and Cloud Computing 150 5.1.2 Energy and Environmental Costs 150 5.1.3 Complex Operations 150 5.1.4 Lack of Agility 150 5.1.5 Fiscal
Impact 151 4.7.4 Network Security Management Tools 114 4.7.5 Features and Benefits of Network Management Software 115 5.3 Defining Different Types of Virtualization 116 5.3.1 Virtualization 4.8.1 Features of Performance Management Software 117 4.8.2 Benefits of Performance Management Software 4.9 Configuration Management Software 117 119 4.9.1 Features of Configuration Management Software 119 4.9.2 Benefits of Configuration Management Software 120 4.10 Virtualization Software 4.10.1 Features of Virtualization Software 150 5.1.1 Low Utilization 5.2 Latest Frontier of Datacenter Virtualization 4.8 Performance Management Software 147 151 152 152 5.3.2 Server Virtualization 152 5.3.3 Data Center Virtualization 152 5.4 Advantages of Data Center Virtualization 153 5.5 Advanced-Data Center Virtualization 154 5.6 Cloud Computing in Data Center Management 154 5.7 Advantages of Cloud Computing 155 121 5.7.1 Scalability 155 121 5.7.2 Cost Savings 155 vii
5.7.3 Flexibility 6.5.4 Stranded Capacity 156 6.6 Managing Capacity 175 176 5.7.4 Improved Efficiency 156 5.7.5 Improved Reliability 156 6.6.1 Presentation of Capacity Data 177 5.7.6 Enhanced Security 156 6.6.2 Setting the Capacity Plan 179 156 6.6.3 Alerting on Violations of the Capacity Plan 179 6.6.4 Modeling Proposed Changes 180 5.8 Challenges of Cloud Computing 5.8.1 Security 156 5.8.2 Compliance 157 5.8.3 Vendor Lock-In 157 5.8.4 Complexity 157 5.8.5 Cost Management 157 5.8.6 Availability and Uptime 157 5.9 Cloud Computing Providers 158 5.9.1 Amazon Web Services (AWS) 158 5.9.2 Microsoft Azure 158 5.9.3 Google Cloud Platform (GCP) 158 5.9.4 Oracle Cloud 159 6.7 Monitoring Power and Cooling for IT Devices 181 Summary 183 Review Questions 183 Multiple Choice Questions 183 References 185 "7 Challenges in Data f Center Management 189 Summary 160 Review Questions 160 Unit Introduction Multiple Choice Questions 160 7.1 Data Security References 161 Importance of Power and Cooling Management 165 ■ 189 192 7.1.1 Access Control 192 7.1.2 Encryption 192 7.1.3 Firewalls 192 7.1.4 Antivirus and Anti-Malware 193 7.1.5 Backup and Recovery 193 7.1.6 Compliance with Data Protection Regulations 194 165 7.1.7 Integration of New Technologies 194 6.1 High-Density IT Equipment 168 7.1.8 Budget Constraints 194 6.2 Total Cost of Ownership 168 6.3 Rapid Pace of Change 169 7.2.1 Monitoring Power Usage 195 169 7.2.2 Power Distribution Management 195 7.2.3 Cooling Management 196 7.2.4 Power Redundancy 196 7.2.5 Power Efficiency Optimization 196 Unit Introduction 6.4 Capacity Supply and Demand
6.4.1 Power and Cooling Maximum Potential Demand 170 6.4.2 Current Power and Cooling Actual Demand 170 6.4.3 Power and Cooling Maximum Potential Supply 6.4.4 Current Power and Cooling Actual Supply 6.5 System-Level Capacities 6À1 Spare Capacity 170 7.2 Power Management 194 7.3 Capacity Planning 196 7.4 Internet of Things (loT) 197 7.4.1 Scalability 198 171 7.4.2 Security 198 172 7.4.3 Latency 198 173 6.5.2 idle Capacity 174 6.5.3 Safety Margin Capacity 174 7.5 Mobile Enterprise 7.5.1 Network Performance 199 199
7.5.2 Scalability 199 7.5.3 Device Management 200 7.6 Real-Time Reporting 200 7.7 Balancing Cost Controls with Efficiency 200 7.8 Infrastructure Monitoring and Visibility 202 7.8.1 Complexity 202 7.8.2 Data Overload 202 7.8.3 Integration 7.8.4 Scalability 7.8.5 Cost — 0 Future Trends in u Data Center Management 213 Unit Introduction 213 202 8.1 Legislation, Best Practices, and Standards 216 203 8.2 Intelligent Monitoring Systems 217 203 8.3 Simulation Tools and Digital Twins 221 7.9 Data Center Network Security 203 8.4 Edge Computing 223 7.10 Performance and Availability 203 8.4.1 Distributed Architectures 223 7.10.1 Complexity 204 8.4.2 Remote Management 223 7.10.2 Scalability 204 8.4.3 Edge-Specific Monitoring Tools 224 7.10.3 Resiliency 204 8.4.4 Increased Bandwidth 224 7.10.4 Monitoring 204 8.5 Artificial Intelligence (Al) 224 7.10.5 Cost 205 8.5.1 Predictive Maintenance 224 7.10.6 Maintaining Availability and Uptime 205 8.5.2 Resource Optimization 225 7.10.7 Reporting Reduced Operating Expenses 8.5.3 Security 225 205 8.5.4 Automation 225 7.10.8 Improving Staff Productivity 205 7.11 Cooling 206 Summary 207 Review Questions 207 Multiple Choice Questions 207 References 208 8.6 Robotics 225 8.7 Future Research 228 Summary 230 Review Questions 230 Multiple Choice Questions 230 INDEX 235 |
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| isbn | 9781774697870 |
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| physical | xix, 239 Seiten Illustrationen, Diagramme |
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| spellingShingle | Zadeh, Nastaran Nazar ca. 20./21. Jh Data center management Management (DE-588)4037278-9 gnd Rechenzentrum (DE-588)4048715-5 gnd |
| subject_GND | (DE-588)4037278-9 (DE-588)4048715-5 |
| title | Data center management |
| title_alt | Data centre management |
| title_auth | Data center management |
| title_exact_search | Data center management |
| title_full | Data center management Nastaran Nazar Zadeh |
| title_fullStr | Data center management Nastaran Nazar Zadeh |
| title_full_unstemmed | Data center management Nastaran Nazar Zadeh |
| title_short | Data center management |
| title_sort | data center management |
| topic | Management (DE-588)4037278-9 gnd Rechenzentrum (DE-588)4048715-5 gnd |
| topic_facet | Management Rechenzentrum |
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