Chapter 1
1. A hospital uses an application that stores patient X-ray data in the form of large
binary objects in an Oracle database. The application is hosted on a UNIX server,
and the hospital staff accesses the X-ray records through a Gigabit Ethernet
backbone. An EMC CLARiiON storage array provides storage to the UNIX
server, which has 6 TB of usable capacity. Explain the core elements of the data
center. What are the typical challenges the storage management team may face in
meeting the service-level demands of the hospital staff? Describe how the value
of this patient data might change over time.
Solution/Hint:
Core elements of the data center:
- Application
- Database – oracle
- Server and operating system – UNIX server
- Network – LAN, SAN
- Storage array – EMC CLARiiON storage array
Challenges:
- Long term preservation
- High cost
How patient data might change over time:
- For first 60 days, the patient data is accessed frequently
- After that the requirement of the patient data is very less, so it could be
moved to CAS.
2. An engineering design department of a large company maintains over 600,000
engineering drawings that its designer’s access and reuse in their current projects,
modifying or updating them as required. The design team wants instant access to
the drawings for its current projects, but is currently constrained by an
infrastructure that is not able to scale to meet the response time requirements. The
team has classified the drawings as “most frequently accessed,” “frequently
accessed,” “occasionally accessed,” and “archive.”
• Suggest and provide the details for a strategy for the design department
that optimizes the storage infrastructure by using ILM.
• Explain how you will use “tiered storage” based on access frequency.
• Detail the hardware and software components you will need to implement
your strategy.
• Research products and solutions currently available to meet the solution
you are proposing.
Solution/Hint:
• Classify the data according to access frequency or value and use tiered
storage that optimizes the infrastructure cost and performance by using
ILM.
• Storage requirement can be classify as:
- frequently used data should be placed in high end storage array
- occasionally accessed should be in low end storage array
- and archived data in specialized CAS system
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