@CONFERENCE\{IMM2005-04153,
    author       = "V. Venkatachalam and C. W. Probst and M. Franz",
    title        = "A Multilevel Introspective Dynamic Optimization System For Holistic Power-Aware Computing",
    year         = "2005",
    keywords     = "Power-aware Computing, Virtual Machines, Dynamic Optimization",
    booktitle    = "Dagstuhl Seminar Proceedings",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/4153-full.html",
    abstract     = "Power consumption is rapidly becoming the dominant limiting
factor for further improvements in computer design. Curiously, this
applies both at the “high-end” of workstations and servers and the “low
end” of handheld devices and embedded computers. At the high-end, the
challenge lies in dealing with exponentially growing power densities. At
the low-end, there is a demand to make mobile devices more powerful
and longer lasting, but battery technology is not improving at the same
rate that power consumption is rising. Traditional power-management
research is fragmented; techniques are being developed at specific levels,
without fully exploring their synergy with other levels. Most software
techniques target either operating systems or compilers but do not explore
the interaction between the two layers. These techniques also have
not fully explored the potential of virtual machines for power management.
In contrast, we are developing a system that integrates information from
multiple levels of software and hardware, connecting these levels through
a communication channel. At the heart of this system are a virtual machine
that compiles and dynamically profiles code, and an optimizer that
reoptimizes all code, including that of applications and the virtual machine
itself. We believe this introspective, holistic approach enables more
informed power-management decisions."
}