  In this paper we establish a general algorithmic framework between bin
packing and strip packing, with which we achieve the same asymptotic bounds by
applying bin packing algorithms to strip packing. More precisely we obtain the
following results: (1) Any offline bin packing algorithm can be applied to
strip packing maintaining the same asymptotic worst-case ratio. Thus using FFD
(MFFD) as a subroutine, we get a practical (simple and fast) algorithm for
strip packing with an upper bound 11/9 (71/60). A simple AFPTAS for strip
packing immediately follows. (2) A class of Harmonic-based algorithms for bin
packing can be applied to online strip packing maintaining the same asymptotic
competitive ratio. It implies online strip packing admits an upper bound of
1.58889 on the asymptotic competitive ratio, which is very close to the lower
bound 1.5401 and significantly improves the previously best bound of 1.6910 and
affirmatively answers an open question posed by Csirik et. al.
