Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

PPMexe: PPM for compressing software

Authors: Milenko Drinic; Darko Kirovski;

PPMexe: PPM for compressing software

Abstract

With the emergence of software delivery platforms such as Microsoft's .NET, code compression has become one of the core enabling technologies strongly affecting system performance. We present PPMexe - a set of compression mechanisms for executables that explores their syntax and semantics to achieve superior compression rates. The fundament of PPMexe is the generic paradigm of prediction by partial matching (PPM). We combine PPM with two pre-processing steps: instruction rescheduling to improve prediction rates and partitioning of a program binary into streams with high auto-correlation. We improve the traditional PPM algorithm by using: an additional alphabet of frequent variable-length super-symbols extracted from the input stream of fixed-length symbols and a low-overhead mechanism that enables decompression starting from an arbitrary instruction of the executable, a feature pivotal for run-time software delivery. PPMexe was implemented for x86 binaries and tested on several large Microsoft applications. Binaries compressed using PPMexe were 16-23% smaller than files created using PPMD, the best available compressor.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!