| Description |
1 online resource (290 pages) |
| Series |
Service Science |
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Service science.
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| Contents |
Contents -- Contributors -- Foundations of Data Center: Key Concepts and Taxonomies -- 1 Introduction -- 2 Fundamental Concepts -- 3 Overview of Data Centers -- 4 The Evolution of the Data Center -- 5 Types of Data Centers (Tiers I, II, III, IV) -- 6 Organizational Charts for Data Centers -- 7 Best Practices for Operational Efficiency -- 8 Taxonomies of Services Provided and Consumed in Data Centers -- 9 The Data Center as a Service System -- 10 Value of Data Centers -- 11 Conclusion -- References -- ITSDM: A Methodology for IT Services Design |
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1 Introduction2 Background and Research Approach -- 3 Theoretical Background on IT Service Design Processes -- 4 The IT Service Design Methodology: Description and Illustrative Case -- 4.1 ITSDM Description -- 4.2 ITSDM: Illustrative Case -- 5 Conclusions -- References -- Using Dashboards to Reach Acceptable Risk in Statistics Data Centers Through Risk Assessment and Impact -- 1 Introduction -- 2 Literature Review -- 2.1 Identifying Risks -- 2.2 Identifying Risks -- 2.3 Asset#x80;#x99;s Attributes for Risk Database -- 2.4 Threats and Vulnerabilities |
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2.5 Impact Analysis2.6 Controls -- 3 Research Approach -- 3.1 Risk Management -- 3.2 Information Gathering Methods and Tools -- 3.3 Qualitative Risk Assessment Methodology or Approach -- 3.4 Quantitative Risk Assessment Methodology -- 4 Case Study and Data Collection -- 4.1 Assets Information Identification -- 4.2 Collecting Controls Information -- 4.3 Collecting Controls Information -- 4.4 Collecting Quantitative Risk Data -- 4.5 Collecting Quantitative Risk Data -- 4.6 Design and Build Risk Database -- 5 Dashboard and Risk Analysis |
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5.1 Risk Scenario 1: Threats and Impact Analysis Based on Qualitative Approach5.2 Risk Scenario 2: Decisions Based on Historical Risk Data -- 5.3 Risk Scenario 3: Risk Views at CRM Service Level -- 6 Conclusions -- References -- Risk and Data Center Planning -- 1 Introduction -- 2 Risk Management and Business Continuity Management -- 2.1 Business Impact Analysis -- 2.2 Risk Assessment -- 2.3 Strategy Development -- 3 Discussion -- 3.1 Preparedness -- 3.2 Mitigation -- 3.3 Exercises -- 3.4 Response -- 3.5 Recovery -- 3.6 Trends and Implications |
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4 ConclusionsReferences -- Best Practices in Data Center Management: Case #x80;#x93; KIO Networks -- 1 Introduction -- 2 The Importance of Data Centers -- 3 KIO Networks Background -- 3.1 Background -- 3.2 Mission and Vision -- 3.3 Solutions -- 3.4 KIO Networks DNA -- 3.5 KIO Networks#x80;#x99; Data Centers -- 3.6 The Value of Certifications -- 3.7 Recognition -- 3.8 Environmental Policy: KIO Networks#x80;#x99; Green Side -- 3.9 Recognition from KIO Networks Clients -- 4 Information Collection Method for the KIO Networks Case |
| Summary |
This edited volume covers essential and recent development in the engineering and management of data centers. Data centers are complex systems requiring ongoing support, and their high value for keeping business continuity operations is crucial. The book presents core topics on the planning, design, implementation, operation and control, and sustainability of a data center from a didactical and practitioner viewpoint. Chapters include: · Foundations of data centers: Key Concepts and Taxonomies · ITSDM: A Methodology for IT Services Design · Managing Risks on Data Centers through Dashboards · Risk Analysis in Data Center Disaster Recovery Plans · Best practices in Data Center Management Case: KIO Networks · QoS in NaaS (Network as a Service) using Software Defined Networking · Optimization of Data Center Fault-Tolerance Design · Energetic Data Centre Design Considering Energy Efficiency Improvements During Operation · Demand-side Flexibility and Supply-side Management: The Use Case of Data Centers and Energy Utilities · DevOps: Foundations and its Utilization in Data Centers · Sustainable and Resilient Network Infrastructure Design for Cloud Data Centres · Application Software in Cloud-Ready Data Centers This book bridges the gap between academia and the industry, offering essential reading for practitioners in data centers, researchers in the area, and faculty teaching related courses on data centers. The book can be used as a complementary text for traditional courses on Computer Networks, as well as innovative courses on IT Architecture, IT Service Management, IT Operations, and Data Centers |
| Notes |
""5 Best Practices at KIO Data Center Management"" |
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Print version record |
| Subject |
Data processing service centers -- Management.
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Business mathematics & systems.
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Data mining.
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COMPUTERS -- Computer Literacy.
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COMPUTERS -- Computer Science.
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COMPUTERS -- Data Processing.
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COMPUTERS -- Hardware -- General.
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COMPUTERS -- Information Technology.
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COMPUTERS -- Machine Theory.
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COMPUTERS -- Reference.
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Data processing service centers -- Management
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| Form |
Electronic book
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| Author |
Marx Gómez, Jorge
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Mora, Manuel, 1961-
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Raisinghani, Mahesh S
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Nebel, Wolfgang
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O'Connor, Rory V
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| ISBN |
9783319650821 |
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3319650823 |
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