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Compare data and network security techniques. Describe similarities and differences between these techniques, and their impact on ethical and privacy issues.

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Discussion – Weeks 6-7
COLLAPSE
Security and Reliability in Cloud Computing

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A critical concern in the cloud computing community is privacy and security, and you need look no further than recent newspaper headlines to see why. Security breaches at major retailers, such as Target and Neiman Marcus, and at hotels like Marriott and Hilton, are a cause for great concern and increased study by Information Security and cloud computing professionals.

Cloud computing is enabling services that are key to the growth of the economy. For instance, you cannot have financial transactions without ensuring the confidentiality and the integrity of those transactions. Privacy concerns are basic to the operation of medical services. In addition, the availability of the systems is a critical and fundamental need. For these systems to remain available, a high degree of reliability is needed. An additional factor that is a key to keeping costs down for cloud operations is the power consumption of the data centers. The energy costs to operate a data center approaches the cost of the infrastructure itself.

For this Discussion, you will analyze security methods for cloud computing and their impact on ethical and privacy concerns. In addition, you will evaluate fault-tolerance techniques for cloud computing, and you will analyze methods for increasing energy efficiency in data centers and server farms.

To Prepare:

Read this weeks’ textbook chapter and web and journal articles.
Participant.

Week 6, submit a

8-10 – paragraphs post that responds to the following:

Compare data and network security techniques. Describe similarities and differences between these techniques, and their impact on ethical and privacy issues.
List and describe classifications of hardware fault-tolerance techniques. How are these techniques implemented, and how do they impact systems and servers? What situations and configurations favor some techniques over others?
Analyze data center energy consumption issues, evaluating techniques for improving data center energy efficiency.

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