Cloud Computing Patterns, Mechanisms > Data Management and Storage Device Patterns > Sub-LUN Tiering
Sub-LUN Tiering (Erl, Naserpour, Stoffers)
How can a subset of data stored inside a LUN be moved without having to migrate the entire LUN?
Problem
A subset of data stored inside a LUN has increased performance requirements that cannot be fulfilled in its current location.
Solution
A solution is implemented capable of monitoring performance levels against required performance levels and coordinating the migration of datasets, as required.
Application
An automated scaling listener mechanism is used to monitor actual performance against required performance levels and can initiate necessary migration via a sub-LUN migration mechanism.
Compound Patterns
Burst In, Burst Out to Private Cloud, Burst Out to Public Cloud, Cloud Authentication, Cloud Balancing, Elastic Environment, Infrastructure-as-a-Service (IaaS), Isolated Trust Boundary, Multitenant Environment, Platform-as-a-Service (PaaS), Private Cloud, Public Cloud, Resilient Environment, Resource Workload Management, Secure Burst Out to Private Cloud/Public Cloud, Software-as-a-Service (SaaS)
An automated scaling listener mechanism is connected to a sub-LUN migration mechanism after applying the Sub-LUN Tiering pattern.
A sub-LUN migration mechanism moves Dataset A2 to a higher performance Tier B.
This pattern is covered in CCP Module 14: Advanced Cloud Storage.
For more information regarding the Cloud Certified Professional (CCP) curriculum, visit www.arcitura.com/ccp.
The architectural model upon which this design pattern is based is further covered in:
Cloud Computing Design Patterns by Thomas Erl, Robert Cope, Amin Naserpour
(ISBN: 9780133858563, Hardcover, ~ 528 pages)
For more information about this book, visit www.arcitura.com/books.