On my last blog post [Is this what HDS tells our mainframe clients?], I poked fun at Hu Yoshida's blog post that contained a graphic with questionable results. Suddenly, the blog post disappeared altogether. Poof! Gone!
Just so that I am not accused of taking a graph out of context, here is Hu's original post, in its entirety:
"Since my last post on Storage Performance Efficiency, Claus wrote on the use of HDP, Hitachi Dynamic Provisioning and HDT, Hitachi Dynamic Tiering for mainframes on Virtual Storage Platform (VSP). Naturally, this prompted me to think of the specific performance efficiency implications for mainframes.
HDP brings the performance benefits of automated wide striping and HDT automatically keeps the hot pages of data on the highest performance tier of storage for mainframes, just as it does for open systems. There are differences between open systems and mainframe implementation due to mainframe CKD and CCHHR formats for instance, the page size is optimized for mainframe storage formats and storage reclamation must be host initiate. For more information check out our website: http://www.hds.com/assets/pdf/how-to-apply-latest-advances-in-hitachi-mainframe-storage.pdf
There are also additional performance efficiencies specific for mainframes.
Mainframe HDP is the foundation for Extended Addressable Volumes, which increases the size of 3390 volumes from 65,520 cylinders to 262,668 cylinders. This, along with HyperPAV--which facilitates multiple accesses to a volume, addressing the problem of queuing on a very large volume with a single UCB--enhances throughput with many more concurrent I/O operations.[graph]
The thin provisioning of HDP also increases the performance of mainframe functions that move, copy, or replicate these thin volumes like Concurrent Copy, FlashCopy V02, and HUR, since the actual volumes are smaller.
If you have mainframes, check out the capacity and performance efficiency of VSP with HDP and HDT.
For other posts on maximizing storage and capacity efficiencies, check these out: http://blogs.hds.com/capacity-efficiency.php"
At this point, you might be wondering: "If Hu Yoshida deleted his blog post, how did Tony get a copy of it? Did Tony save a copy of the HTML source before Hu deleted it?" No. I should have, in retrospect, in case lawyers got involved. It turns out that deleting a blog post does not clear the various copies in various RSS Feed Reader caches. I was able to dig out the previous version from the vast Google repository. (Many thanks to my friends at Google!!!).
The graph itself was hosted separately has been deleted, but it was just taken from slide 10 of the HDS presentation [How to Apply the Latest Advances in Hitachi Mainframe Storage], so it was easy to recreate.
(Lesson to all bloggers: If you write a blog post, and later decide to remove it for whatever legal, ethical, moral reasons, it is better to edit the post to remove offending content, and add a comment that the post was edited, and why. Shrinking a 700-word article down to 'Sorry Folks - I decided to remove this blog post because...' would do the trick. This new edited version will then slowly propagate across to all of the RSS Feed Reader caches, eliminating most traces to the original. Of course, the original may have been saved by any number of your readers, but at least if you have an edited version, it can serve as the official or canonical version.)
Perhaps there was a reason why HDS did not want to make public the FUD its sales team use in private meetings with IBM mainframe clients. Whatever it was, this appears to be another case where the cover-up is worse than the original crime!