Reiser4, Part II: Designing Trees that Cache Well
In upcoming articles we will discuss why, even when nothing is cached in memory, Reiser4's performance is much higher than that of ReiserFS v3, why dancing trees are better than space-usage balanced trees and how we added support for transactions while at the same time greatly reducing the amount of data that is written twice.
Hans Reiser (firstname.lastname@example.org) entered UC Berkeley in 1979 after completing the eighth grade and majored in “Systematizing”, an individual major based on the study of how theoretical models are developed. His senior thesis discussed how the philosophy of the hard sciences differs from that of computer science, with the development of a naming system as a case study. He is still implementing that naming system, of which Reiser4 is the storage layer.
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With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide