Written by: Bruce Naegel, John Colgrove, W. David Schwaderer
This is the second part of a three part paper on Data Center Power and cooling. It discusses data and disk types and how to match data and disks effectively within information life cycles. In addition, it examines data growth problems and how they directly impact data center power and cooling considerations. The paper concludes with a discussion of tiered storage and how Symantec's Veritas Storage Foundation Dynamic Storage Tiering can significantly reduce power and cooling requirements.
Different kinds of Data
As indicated in Part I, IT organizations support their enterprises according to pre-determined SLAs. Some SLA terms require extremely fast access to selected data while allowing slower access for other data. Other SLAs might specify required data retention periods before the data can be discarded. Yet other SLA might specify different access speeds depending on time periods such as high speed access during quarterend and year end reporting and slower access during other periods.
We now define transaction data as data that currently experiences high read, write, and update activity and therefore requires high performance storage. Non-transaction data is other data that does not currently experience such high activity and can reside on lower performance storage.
We have mentioned that Appendix B shows how different forms of RAID provide different performance levels. As it turns out, there are multiple types of hard disks that can also help meet the varying objectives that SLAs dictate.
To read the complete article, please download the PDF.