As regular readers know, I try to keep my non-blog life out of this blog to the extent possible. But considering the scientific posts which keep cropping up on this blog lately, I thought interested readers might enjoy knowing that I have myself co-authored an important research paper: Decoupling Journaling File Systems from Interrupts in the Producer- Consumer Problem. Because of the complicated nature of the subject, and the interrelatedness of economics and computer modeling in the red hot area of P2P technology, I really can't do myself (and particularly the other distinguished authors) justice by encapsulating in lay terms what took many years of hard work -- to say nothing of many dollars in grants.

However, I don't think see what harm could come from letting my readers have a sneak peek at the abstract:

Abstract
The implications of peer-to-peer technology have been far-reaching and pervasive. In fact, few leading analysts would disagree with the synthesis of gigabit switches, which embodies the unfortunate principles of exhaustive complexity theory. In order to accomplish this intent, we disconfirm not only that the UNIVAC computer can be made highly-available, replicated, and electronic, but that the same is true for write-back caches.

I'd like to thank my co-authors for making this possible. But the lion's share of thanks goes to Joanne Jacobs for being the catalyst who inspired the original idea.

Science has to start somewhere.

UPDATE: How does two papers in the same day sound as a scientific accomplishment? Believe it or not, what started out as a seemingly unremarkable offshoot of the original Joanne Jacobs' original kernel (a phenomenon we've described as the emulation of redundancy) an entirely new paper -- On the Synthesis of Kernels -- is ready to rock the foundations of science.

Abstract
Many electrical engineers would agree that, had it not been for sensor networks, the emulation of the Turing machine might never have occurred. In this position paper, we show the emulation of redundancy. We propose a novel application for the exploration of model checking, which we call NAY.

Justin Case, please take note: When science reigns, it pores!