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ASIN ‏ : ‎ B00UJBCSA0
Publisher ‏ : ‎ Morgan Kaufmann; 1st edition (February 27, 2015)
Publication date ‏ : ‎ February 27, 2015
Language ‏ : ‎ English
File size ‏ : ‎ 55497 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 818 pages

Cloud Data Centers and Cost Modeling: A Complete Guide To Planning, Designing and Building a Cloud Data Center

In today’s digital age, the demand for cloud data centers is on the rise as more businesses and organizations are moving their operations to the cloud. Cloud data centers offer flexibility, scalability, and cost-effectiveness compared to traditional on-premises data centers. However, planning, designing, and building a cloud data center requires careful consideration of various factors, including cost modeling.

Cost modeling is essential in determining the total cost of ownership (TCO) of a cloud data center. It involves analyzing the costs associated with hardware, software, networking, power, cooling, maintenance, and other operational expenses. By accurately estimating these costs, organizations can make informed decisions about the size, capacity, and configuration of their cloud data center.

When planning a cloud data center, it is important to consider the following key factors:

1. Workload requirements: Determine the type and volume of workloads that will be running in the cloud data center. This will help in sizing the infrastructure and selecting the right hardware and software components.

2. Scalability: Plan for future growth and scalability by designing a flexible and modular infrastructure that can easily accommodate additional resources as needed.

3. Redundancy and resilience: Ensure high availability and data protection by implementing redundancy and resilience measures, such as backup power, redundant networking, and disaster recovery solutions.

4. Security: Implement strong security measures to protect sensitive data and prevent cyber threats. This includes physical security, network security, and data encryption.

5. Cost optimization: Use cost modeling tools and techniques to accurately estimate the TCO of the cloud data center and identify opportunities for cost optimization, such as resource consolidation, energy efficiency, and automation.

In conclusion, planning, designing, and building a cloud data center requires careful consideration of various factors, including cost modeling. By following the guidelines outlined in this complete guide, organizations can successfully deploy a cost-effective and scalable cloud data center that meets their business needs and objectives.
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