Motivated by applications in energy-efficient scheduling in data centers,
Khuller, Li, and Saha introduced the {\em machine activation} problem as a
generalization of the classical optimization problems of set cover and load
balancing on unrelated machines. In this problem, a set of $n$ jobs have to be
distributed among a set of $m$ (unrelated) machines, given the processing time
of each job on each machine, where each machine has a startup cost. The goal is
to produce a schedule of minimum total startup cost subject to a constraint
$\bf L$ on its makespan.
We study the problem of ranking with submodular valuations. An instance of
this problem consists of a ground set $[m]$, and a collection of $n$ monotone
submodular set functions $f^1, \ldots, f^n$, where each $f^i: 2^{[m]} \to R_+$.
An additional ingredient of the input is a weight vector $w \in R_+^n$. The
objective is to find a linear ordering of the ground set elements that
minimizes the weighted cover time of the functions.