Mellieri Cloud NCWL no carbon no water no losses

1. Para cada novo datacenter, um em um campo de refugiados com receitas para cada morador nos moldes do Alaska Permanent Fund Corporation que pagou US$2000,00/year. Meta US$80.000,00 na região dos DC MNCWL

2. Japão & Vila da Panian, no Paquistão

2.1. STANDARDS & COMPLIANCE

2.1.1. FISC

2.1.2. HDS

2.1.3. HIPAA

2.1.4. ISO 9001

2.1.5. ISO 14001

2.1.6. ISO 22301

2.1.7. ISO 27001

2.1.8. ISO 45001

2.1.9. ISO 50001

2.1.10. NIST 800-53/FISMA

2.1.11. OSPAR

2.1.12. PCI DSS

2.1.13. SOC 1 Type II

2.1.14. SOC 2 Type II

2.1.15. SS 507

2.1.16. SS 564

2.1.17. TSI

2.1.18. TVRA

2.1.19. Uptime Institute

2.2. Project Finance

2.2.1. IFRS

2.2.2. US GAAP

2.2.3. ROI

2.2.3.1. 120 months

2.2.4. CAPEX

2.2.4.1. Start

2.2.4.1.1. 12 months

2.3. Grid

2.4. .

2.4.1. .

2.4.2. TIAC

2.4.2.1. Chiller Magnetic Bearing

2.4.2.1.1. .

2.4.3. OCR

2.4.3.1. .

2.4.4. 3 GW

2.4.4.1. .

2.4.4.1.1. .

2.4.4.1.2. TIER X

2.4.4.1.3. Chiller Magnetic Bearing

2.4.4.1.4. 300 MW

3. Coréia do Norte & Tamil Nadu, Índia

3.1. STANDARDS & COMPLIANCE

3.1.1. FISC

3.1.2. HDS

3.1.3. HIPAA

3.1.4. ISO 9001

3.1.5. ISO 14001

3.1.6. ISO 22301

3.1.7. ISO 27001

3.1.8. ISO 45001

3.1.9. ISO 50001

3.1.10. NIST 800-53/FISMA

3.1.11. OSPAR

3.1.12. PCI DSS

3.1.13. SOC 1 Type II

3.1.14. SOC 2 Type II

3.1.15. SS 507

3.1.16. SS 564

3.1.17. TSI

3.1.18. TVRA

3.1.19. Uptime Institute

3.2. Project Finance

3.2.1. IFRS

3.2.2. US GAAP

3.2.3. ROI

3.2.3.1. 120 months

3.2.4. CAPEX

3.2.4.1. Start

3.2.4.1.1. 12 months

3.3. Grid

3.4. .

3.4.1. .

3.4.2. TIAC

3.4.2.1. Chiller Magnetic Bearing

3.4.2.1.1. .

3.4.3. OCR

3.4.3.1. .

3.4.4. 3 GW

3.4.4.1. .

3.4.4.1.1. .

3.4.4.1.2. TIER X

3.4.4.1.3. Chiller Magnetic Bearing

3.4.4.1.4. 300 MW

4. Angola & Dollo Ado, Etiópia

4.1. STANDARDS & COMPLIANCE

4.1.1. FISC

4.1.2. HDS

4.1.3. HIPAA

4.1.4. ISO 9001

4.1.5. ISO 14001

4.1.6. ISO 22301

4.1.7. ISO 27001

4.1.8. ISO 45001

4.1.9. ISO 50001

4.1.10. NIST 800-53/FISMA

4.1.11. OSPAR

4.1.12. PCI DSS

4.1.13. SOC 1 Type II

4.1.14. SOC 2 Type II

4.1.15. SS 507

4.1.16. SS 564

4.1.17. TSI

4.1.18. TVRA

4.1.19. Uptime Institute

4.2. Project Finance

4.2.1. IFRS

4.2.2. US GAAP

4.2.3. ROI

4.2.3.1. 120 months

4.2.4. CAPEX

4.2.4.1. Start

4.2.4.1.1. 12 months

4.3. Grid

4.4. .

4.4.1. TIAC

4.4.1.1. Chiller Magnetic Bearing

4.4.1.1.1. .

4.4.2. .

4.4.3. Turboden Organic Rankine Cycle (ORC)

4.4.3.1. .

4.4.4. 3 GW

4.4.4.1. .

4.4.4.1.1. .

4.4.4.1.2. TIER X

4.4.4.1.3. Chiller Magnetic Bearing

4.4.4.1.4. 300 MW

5. Angra III

5.1. STANDARDS & COMPLIANCE

5.1.1. FISC

5.1.2. HDS

5.1.3. HIPAA

5.1.4. ISO 9001

5.1.5. ISO 14001

5.1.6. ISO 22301

5.1.7. ISO 27001

5.1.8. ISO 45001

5.1.9. ISO 50001

5.1.10. NIST 800-53/FISMA

5.1.11. OSPAR

5.1.12. PCI DSS

5.1.13. SOC 1 Type II

5.1.14. SOC 2 Type II

5.1.15. SS 507

5.1.16. SS 564

5.1.17. TSI

5.1.18. TVRA

5.1.19. Uptime Institute

5.2. Project Finance

5.2.1. IFRS

5.2.2. US GAAP

5.2.3. ROI

5.2.3.1. 120 months

5.2.4. CAPEX

5.2.4.1. Start

5.2.4.1.1. 12 months

5.3. Grid

5.4. .

5.4.1. .

5.4.1.1. .

5.4.1.1.1. 1,5 GW

5.4.1.1.2. DATACENTER

5.4.1.1.3. COOLING RECOVERY

5.4.1.1.4. HEAT RECOVERY

6. Russia & Za’atri, Jordânia

6.1. STANDARDS & COMPLIANCE

6.1.1. FISC

6.1.2. HDS

6.1.3. HIPAA

6.1.4. ISO 9001

6.1.5. ISO 14001

6.1.6. ISO 22301

6.1.7. ISO 27001

6.1.8. ISO 45001

6.1.9. ISO 50001

6.1.10. NIST 800-53/FISMA

6.1.11. OSPAR

6.1.12. PCI DSS

6.1.13. SOC 1 Type II

6.1.14. SOC 2 Type II

6.1.15. SS 507

6.1.16. SS 564

6.1.17. TSI

6.1.18. TVRA

6.1.19. Uptime Institute

6.2. Project Finance

6.2.1. IFRS

6.2.2. US GAAP

6.2.3. ROI

6.2.3.1. 120 months

6.2.4. CAPEX

6.2.4.1. Start

6.2.4.1.1. 12 months

6.3. Grid

6.4. .

6.4.1. 3 GW

6.4.2. .

6.4.2.1. .

6.4.2.1.1. .

7. United Arab Emirates & Kakuma, Quênia

7.1. STANDARDS & COMPLIANCE

7.1.1. FISC

7.1.2. HDS

7.1.3. HIPAA

7.1.4. ISO 9001

7.1.5. ISO 14001

7.1.6. ISO 22301

7.1.7. ISO 27001

7.1.8. ISO 45001

7.1.9. ISO 50001

7.1.10. NIST 800-53/FISMA

7.1.11. OSPAR

7.1.12. PCI DSS

7.1.13. SOC 1 Type II

7.1.14. SOC 2 Type II

7.1.15. SS 507

7.1.16. SS 564

7.1.17. TSI

7.1.18. TVRA

7.1.19. Uptime Institute

7.2. Project Finance

7.2.1. IFRS

7.2.2. US GAAP

7.2.3. ROI

7.2.3.1. 120 months

7.2.4. CAPEX

7.2.4.1. Start

7.2.4.1.1. 12 months

7.3. Grid

7.4. .

7.4.1. TIAC

7.4.1.1. Chiller Magnetic Bearing

7.4.1.1.1. .

7.4.2. .

7.4.3. OCR

7.4.3.1. .

7.4.4. 3 GW

7.4.4.1. .

7.4.4.1.1. .

7.4.4.1.2. TIER X

7.4.4.1.3. Chiller Magnetic Bearing

7.4.4.1.4. 300 MW

8. Brazil: Bahia & Sahrawi, Argélia

8.1. STANDARDS & COMPLIANCE

8.1.1. FISC

8.1.2. HDS

8.1.3. HIPAA

8.1.4. ISO 9001

8.1.5. ISO 14001

8.1.6. ISO 22301

8.1.7. ISO 27001

8.1.8. ISO 45001

8.1.9. ISO 50001

8.1.10. NIST 800-53/FISMA

8.1.11. OSPAR

8.1.12. PCI DSS

8.1.13. SOC 1 Type II

8.1.14. SOC 2 Type II

8.1.15. SS 507

8.1.16. SS 564

8.1.17. TSI

8.1.18. TVRA

8.1.19. Uptime Institute

8.2. Project Finance

8.2.1. IFRS

8.2.2. US GAAP

8.2.3. ROI

8.2.3.1. 120 months

8.2.4. CAPEX

8.2.4.1. Start

8.2.4.1.1. 12 months

8.3. Grid

8.4. .

8.4.1. .

8.4.2. TIAC

8.4.2.1. Chiller Magnetic Bearing

8.4.2.1.1. .

8.4.3. OCR

8.4.3.1. .

8.4.4. 3 GW

8.4.4.1. .

8.4.4.1.1. .

8.4.4.1.2. TIER X

8.4.4.1.3. Chiller Magnetic Bearing

8.4.4.1.4. 300 MW

9. Norway & Marielle Tower Cultural Center

9.1. STANDARDS & COMPLIANCE

9.1.1. FISC

9.1.2. HDS

9.1.3. HIPAA

9.1.4. ISO 9001

9.1.5. ISO 14001

9.1.6. ISO 22301

9.1.7. ISO 27001

9.1.8. ISO 45001

9.1.9. ISO 50001

9.1.10. NIST 800-53/FISMA

9.1.11. OSPAR

9.1.12. PCI DSS

9.1.13. SOC 1 Type II

9.1.14. SOC 2 Type II

9.1.15. SS 507

9.1.16. SS 564

9.1.17. TSI

9.1.18. TVRA

9.1.19. Uptime Institute

9.2. Project Finance

9.2.1. IFRS

9.2.2. US GAAP

9.2.3. ROI

9.2.3.1. 120 months

9.2.4. CAPEX

9.2.4.1. Start

9.2.4.1.1. 12 months

9.3. Grid

9.4. .

9.4.1. .

9.4.2. TIAC

9.4.2.1. Chiller Magnetic Bearing

9.4.2.1.1. .

9.4.3. OCR

9.4.3.1. .

9.4.4. 3 GW

9.4.4.1. .

9.4.4.1.1. .

9.4.4.1.2. TIER X

9.4.4.1.3. Chiller Magnetic Bearing

9.4.4.1.4. 300 MW

10. China & Tamil Nadu, Índia

10.1. STANDARDS & COMPLIANCE

10.1.1. FISC

10.1.2. HDS

10.1.3. HIPAA

10.1.4. ISO 9001

10.1.5. ISO 14001

10.1.6. ISO 22301

10.1.7. ISO 27001

10.1.8. ISO 45001

10.1.9. ISO 50001

10.1.10. NIST 800-53/FISMA

10.1.11. OSPAR

10.1.12. PCI DSS

10.1.13. SOC 1 Type II

10.1.14. SOC 2 Type II

10.1.15. SS 507

10.1.16. SS 564

10.1.17. TSI

10.1.18. TVRA

10.1.19. Uptime Institute

10.2. Project Finance

10.2.1. IFRS

10.2.2. US GAAP

10.2.3. ROI

10.2.3.1. 120 months

10.2.4. CAPEX

10.2.4.1. Start

10.2.4.1.1. 12 months

10.3. Grid

10.4. .

10.4.1. .

10.4.2. TIAC

10.4.2.1. Chiller Magnetic Bearing

10.4.2.1.1. .

10.4.3. OCR

10.4.3.1. .

10.4.4. 3 GW

10.4.4.1. .

10.4.4.1.1. .

10.4.4.1.2. TIER X

10.4.4.1.3. Chiller Magnetic Bearing

10.4.4.1.4. 300 MW

11. Argentina & Nakivale, Uganda

11.1. STANDARDS & COMPLIANCE

11.1.1. FISC

11.1.2. HDS

11.1.3. HIPAA

11.1.4. ISO 9001

11.1.5. ISO 14001

11.1.6. ISO 22301

11.1.7. ISO 27001

11.1.8. ISO 45001

11.1.9. ISO 50001

11.1.10. NIST 800-53/FISMA

11.1.11. OSPAR

11.1.12. PCI DSS

11.1.13. SOC 1 Type II

11.1.14. SOC 2 Type II

11.1.15. SS 507

11.1.16. SS 564

11.1.17. TSI

11.1.18. TVRA

11.1.19. Uptime Institute

11.2. Project Finance

11.2.1. IFRS

11.2.2. US GAAP

11.2.3. ROI

11.2.3.1. 120 months

11.2.4. CAPEX

11.2.4.1. Start

11.2.4.1.1. 12 months

11.3. Grid

11.4. .

11.4.1. .

11.4.2. TIAC

11.4.2.1. Chiller Magnetic Bearing

11.4.2.1.1. .

11.4.3. OCR

11.4.3.1. .

11.4.4. 3 GW

11.4.4.1. .

11.4.4.1.1. .

11.4.4.1.2. TIER X

11.4.4.1.3. Chiller Magnetic Bearing

11.4.4.1.4. 300 MW

12. QTar & Jabalia, Faixa de Gaza (Palestina)

12.1. STANDARDS & COMPLIANCE

12.1.1. FISC

12.1.2. HDS

12.1.3. HIPAA

12.1.4. ISO 9001

12.1.5. ISO 14001

12.1.6. ISO 22301

12.1.7. ISO 27001

12.1.8. ISO 45001

12.1.9. ISO 50001

12.1.10. NIST 800-53/FISMA

12.1.11. OSPAR

12.1.12. PCI DSS

12.1.13. SOC 1 Type II

12.1.14. SOC 2 Type II

12.1.15. SS 507

12.1.16. SS 564

12.1.17. TSI

12.1.18. TVRA

12.1.19. Uptime Institute

12.2. Project Finance

12.2.1. IFRS

12.2.2. US GAAP

12.2.3. ROI

12.2.3.1. 120 months

12.2.4. CAPEX

12.2.4.1. Start

12.2.4.1.1. 12 months

12.3. Grid

12.4. .

12.4.1. TIAC

12.4.1.1. Chiller Magnetic Bearing

12.4.1.1.1. .

12.4.2. .

12.4.3. OCR

12.4.3.1. .

12.4.4. 3 GW

12.4.4.1. .

12.4.4.1.1. .

12.4.4.1.2. TIER X

12.4.4.1.3. Chiller Magnetic Bearing

12.4.4.1.4. 300 MW

13. Brazil:Parque Térmico Pedreira & Jabalia, Faixa de Gaza (Palestina)

13.1. STANDARDS & COMPLIANCE

13.1.1. FISC

13.1.2. HDS

13.1.3. HIPAA

13.1.4. ISO 9001

13.1.5. ISO 14001

13.1.6. ISO 22301

13.1.7. ISO 27001

13.1.8. ISO 45001

13.1.9. ISO 50001

13.1.10. NIST 800-53/FISMA

13.1.11. OSPAR

13.1.12. PCI DSS

13.1.13. SOC 1 Type II

13.1.14. SOC 2 Type II

13.1.15. SS 507

13.1.16. SS 564

13.1.17. TSI

13.1.18. TVRA

13.1.19. Uptime Institute

13.2. Project Finance

13.2.1. IFRS

13.2.2. US GAAP

13.2.3. ROI

13.2.3.1. 120 months

13.2.4. CAPEX

13.2.4.1. Start

13.2.4.1.1. 12 months

13.3. Grid

13.4. .

13.4.1. .

13.4.2. TIAC

13.4.2.1. Chiller Magnetic Bearing

13.4.2.1.1. .

13.4.3. OCR

13.4.3.1. .

13.4.4. 3 GW

13.4.4.1. .

13.4.4.1.1. .

13.4.4.1.2. TIER X

13.4.4.1.3. Chiller Magnetic Bearing

13.4.4.1.4. 300 MW

14. USA : Oklahoma & Mbera, Mauritânia

14.1. STANDARDS & COMPLIANCE

14.1.1. FISC

14.1.2. HDS

14.1.3. HIPAA

14.1.4. ISO 9001

14.1.5. ISO 14001

14.1.6. ISO 22301

14.1.7. ISO 27001

14.1.8. ISO 45001

14.1.9. ISO 50001

14.1.10. NIST 800-53/FISMA

14.1.11. OSPAR

14.1.12. PCI DSS

14.1.13. SOC 1 Type II

14.1.14. SOC 2 Type II

14.1.15. SS 507

14.1.16. SS 564

14.1.17. TSI

14.1.18. TVRA

14.1.19. Uptime Institute

14.2. Project Finance

14.2.1. IFRS

14.2.2. US GAAP

14.2.3. ROI

14.2.3.1. 120 months

14.2.4. CAPEX

14.2.4.1. Start

14.2.4.1.1. 12 months

14.3. Grid

14.4. .

14.4.1. .

14.4.2. TIAC

14.4.2.1. Chiller Magnetic Bearing

14.4.2.1.1. .

14.4.3. OCR

14.4.3.1. .

14.4.4. 3 GW

14.4.4.1. .

14.4.4.1.1. .

14.4.4.1.2. TIER X

14.4.4.1.3. Chiller Magnetic Bearing

14.4.4.1.4. 300 MW

15. Austrália & Yida, Sudão do Sul

15.1. STANDARDS & COMPLIANCE

15.1.1. FISC

15.1.2. HDS

15.1.3. HIPAA

15.1.4. ISO 9001

15.1.5. ISO 14001

15.1.6. ISO 22301

15.1.7. ISO 27001

15.1.8. ISO 45001

15.1.9. ISO 50001

15.1.10. NIST 800-53/FISMA

15.1.11. OSPAR

15.1.12. PCI DSS

15.1.13. SOC 1 Type II

15.1.14. SOC 2 Type II

15.1.15. SS 507

15.1.16. SS 564

15.1.17. TSI

15.1.18. TVRA

15.1.19. Uptime Institute

15.2. Project Finance

15.2.1. IFRS

15.2.2. US GAAP

15.2.3. ROI

15.2.3.1. 120 months

15.2.4. CAPEX

15.2.4.1. Start

15.2.4.1.1. 12 months

15.3. Grid

15.4. .

15.4.1. TIAC

15.4.1.1. Chiller Magnetic Bearing

15.4.1.1.1. .

15.4.2. .

15.4.3. OCR

15.4.3.1. .

15.4.4. 3 GW

15.4.4.1. .

15.4.4.1.1. .

15.4.4.1.2. TIER X

15.4.4.1.3. Chiller Magnetic Bearing

15.4.4.1.4. 300 MW

16. Dubai; Noruega; Leme; Parque Térmico Pedreira ; Marica

16.1. STANDARDS & COMPLIANCE

16.1.1. FISC

16.1.2. HDS

16.1.3. HIPAA

16.1.4. ISO 9001

16.1.5. ISO 14001

16.1.6. ISO 22301

16.1.7. ISO 27001

16.1.8. ISO 45001

16.1.9. ISO 50001

16.1.10. NIST 800-53/FISMA

16.1.11. OSPAR

16.1.12. PCI DSS

16.1.13. SOC 1 Type II

16.1.14. SOC 2 Type II

16.1.15. SS 507

16.1.16. SS 564

16.1.17. TSI

16.1.18. TVRA

16.1.19. Uptime Institute

16.2. Project Finance

16.2.1. IFRS

16.2.2. US GAAP

16.2.3. ROI

16.2.3.1. 120 months

16.2.4. CAPEX

16.2.4.1. Start

16.2.4.1.1. 12 months

16.3. Grid

16.4. .

16.4.1. 3 GW

16.4.2. .

16.4.2.1. HEAT RECOVERY

16.4.2.1.1. .

16.4.2.2. COOLING RECOVERY

16.4.2.2.1. .

17. Remédio

17.1. Inovação

17.1.1. .

17.1.1.1. Desafios e Riqueza

17.1.1.1.1. 3

17.1.1.1.2. 1

17.1.1.1.3. 2

17.1.1.1.4. 4

17.1.1.2. .

17.1.1.2.1. Eficiência Energética

17.1.1.2.2. 1. Datacenter trata utilidades (refrigeração e energia) como um serviço para o cliente final 1.1 Gerador à óleo passivo (roda 30 min/ano) --> 25 x 8 x 366 10x, à gás natural Comgás 1.2 9x, excedente vendido no grid 1.2.1 Agora: Super center multiserviço: Eficiência energética se paga 1.2.2 Calor residual --> OCR geração de energia e/ou frio via chiller à absorção --> submersive liquid cooling 1.2.3 chiller elétrico rotor magnético --> submersive liquid cooling 2. Excedente energético Local --> SIN Sistema Integrado Nacional 2.1 Excedente energético Global --> Pluga no SIM. Sistema Integrado Mercosul 4. Gestão de oferta/demanda via machine learning

17.1.1.3. Source

17.1.1.3.1. Mellieri NCWL

17.1.1.3.2. URL

17.1.1.3.3. Authors

18. Definition

18.1. Source

18.1.1. NIST

18.1.1.1. National Institute of Standards and Technology

18.1.2. URL

18.1.2.1. http://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf

18.1.3. Authors

18.1.3.1. Mell and Grance 2011

18.2. "Cloud Computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction."

18.2.1. Private cloud.

18.3. plus: five essential characteristics, three service models, and four deployment models.

18.3.1. 5 - 3 - 4

19. Essential Characteristics of Cloud Computing

19.1. On-demand self-service

19.1.1. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider.

19.2. Broad network access

19.2.1. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations).

19.3. Resource pooling

19.3.1. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, and network bandwidth.

19.4. Rapid elasticity

19.4.1. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be appropriated in any quantity at any time.

19.5. Measured service

19.5.1. Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service.

20. Service Models

20.1. Software as a Service (SaaS)

20.1.1. The capability provided to the consumer is to use the provider’s applications running on a cloud infrastructure. The applications are accessible from various client devices through either a thin client interface, such as a web browser (e.g., web-based email), or a program interface. The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.

20.2. Platform as a Service (PaaS)

20.2.1. The capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created or acquired applications created using programming languages, libraries, services, and tools supported by the provider. The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, or storage, but has control over the deployed applications and possibly configuration settings for the application-hosting environment.

20.3. Infraestrutura como serviço (IaaS)

20.3.1. The capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, and deployed applications; and possibly limited control of select networking components (e.g., host firewalls).

21. Deployment Models

21.1. 1. Private cloud

21.1.1. The cloud infrastructure is provisioned for exclusive use by a single organization comprising multiple consumers (e.g., business units). It may be owned, managed, and operated by the organization, a third party, or some combination of them, and it may exist on or off premises.

21.2. 2. Community cloud

21.2.1. The cloud infrastructure is provisioned for exclusive use by a specific community of consumers from organizations that have shared concerns (e.g., mission, security requirements, policy, and compliance considerations). It may be owned, managed, and operated by one or more of the organizations in the community, a third party, or some combination of them, and it may exist on or off premises.

21.3. 3. Public cloud

21.3.1. The cloud infrastructure is provisioned for open use by the general public. It may be owned, managed, and operated by a business, academic, or government organization, or some combination of them. It exists on the premises of the cloud provider.

21.4. 4. Hybrid cloud

21.4.1. The cloud infrastructure is a composition of two or more distinct cloud infrastructures (private, community, or public) that remain unique entities, but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load balancing between clouds).

22. Utilidades 1.0.0

22.1. substação ETX - EISI - (Backup)

22.1.1. Medidor Bidirecional

22.2. Turbina Gás Natural Full Time (23 MW)

22.2.1. Energia Excedente

22.3. Energia Excedente

22.4. Turbina Gás Natural Full Time (23 MW)

22.4.1. Trigeraçao

22.4.1.1. .

22.4.1.1.1. .

22.4.2. Calor

22.4.2.1. Chiller Absorção (140 TR)

22.4.2.1.1. .

22.4.2.2. Chiller Absorção (140 TR)

22.4.2.2.1. .

22.4.2.3. Chiller Absorção (140 TR)

22.4.2.3.1. .

22.4.3. Energia Elétrica - (2,0 MW)

22.4.3.1. Switches EISI - substação utilidades

22.4.3.2. .

22.4.3.2.1. .

22.4.3.3. Switches EISI - substação utilidades

22.4.3.3.1. Cooling (6,4 KW)

22.4.3.3.2. BMS

22.4.3.3.3. Iluminação

22.4.3.3.4. Escritório

22.4.3.3.5. UPS

22.4.3.4. Switches EITS - substação TIC

22.4.3.5. Switches EITS - substação TIC

22.4.3.5.1. TIER X

22.4.3.5.2. Network Gear & Storage

22.4.3.5.3. Server liquid cooling

22.4.3.5.4. Storage

22.4.3.5.5. CRAC´s

22.4.3.5.6. UPS

22.5. .

23. GRID

23.1. Balanço(42MW)

23.1.1. receitas(+44MW)

23.1.2. despesas(-2MW)

23.2. Eficiência Energética

23.3. 80%

23.4. Eficiência Energética

24. Dor

24.1. pain

24.2. dolor

24.3. pyn

24.4. schmerzen

24.5. 아픔

24.6. smerte

24.7. boljeti

24.8. .

24.8.1. .

24.8.1.1. .

24.8.2. .

24.8.2.1. .

24.8.2.1.1. .

24.9. ឈឺ

24.10. болеть

24.11. irora

24.12. 疼痛

24.13. dolore

24.14. ağrı

24.15. وجع

24.16. dolori

24.17. .

24.17.1. .

24.17.1.1. .

24.17.1.1.1. .

24.17.1.1.2. Source

24.17.2. .

24.17.3. .

24.17.4. .

25. mellieri ncwl fund : US$17 trillions

25.1. .

25.1.1. 2006

25.1.1.1. Gartner Says 50 Percent of Data Centers Will Have Insufficient Power and Cooling Capacity by 2008 STAMFORD, Conn., November 29, 2006 — Organizations are increasingly deploying more computing power, but, by 2008, 50 percent of current data centers will have insufficient power and cooling capacity to meet the demands of high-density equipment, according to Gartner, Inc. Two years ago, Gartner made the above shocking prediction … then it turned out to be true. CIOs and IT Managers are maxing out their data centers as Moore’s law plays out – twice as fast, twice as much power, half the space, every 18 months. In today’s economy, IT executives are left with a difficult set of decisions: Do I request more capital to meet my growing IT demands? Can I reduce costs to meets the demands? How do I keep my data center running with less skilled IT professionals on staff? With limited capital to invest in data centers and the pressure to reduce costs, Many CIOs are considering how they can expand their data centers through co-location with an experienced managed datacenter operator.

25.1.1.1.1. 2007

26. Global Redundancy