@Article{thomasian:allocation,
  author = {Alexander Thomasian},
  title = {Data allocation and scheduling in disks and disk arrays},
  journal = {Lecture Notes in Computer Science},
  booktitle = {IEEE/CS Symposium on Modeling, Analysis, and Simulation of
  Computer and Telecommunication Systems; October 12, 2003; Orlando, FL},
  editor = {Calzarossa, MC; Gelenbe, E},
  year = {2004},
  month = {April},
  volume = {2965},
  pages = {357--384},
  institution = {New Jersey Inst Technol, Dept Comp Sci, Newark, NJ 07102 USA},
  publisher = {Springer-Verlag},
  copyright = {(c)2004 Institute for Scientific Information, Inc.},
  URL =
  {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=2965&spage=357},
  keywords = {data allocation, scheduling, disk arrays, pario-bib},
  abstract = {Magnetic disks, which together with disk arrays constitute a
  multibillion dollar industry, were developed in 1950s. Disks were an advance
  over magnetic drums, which had a dedicated read/write head per track, since
  much higher amounts of data could be accessed in a cost effective manner due
  to the sharability of the movable read/write heads. DRAM memories, which are
  volatile, were projected to replace disks a decade ago (see Section 2.4 in
  [33]). This did not materialize due to the inherent volatility of DRAM, i.e.,
  a power source is required to ensure that DRAM contents are not lost, but
  also due to recent dramatic increases in areal recording density and hence
  disk capacity, which is estimated at 60% compound annual growth rate - CAGR.
  This has resulted in a rapid decrease in cost per megabyte of disk capacity,
  so that it is lower than DRAM by a factor of 1000 to one.}
}