English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Docker images are composed of multiple layers, each of which contains a setof instructions, and an archive of files. Layers allow Docker to separate alarge build task into smaller ones, such that when a part of the program ischanged, only the corresponding layer needs to be changed. Yet the currentimplementation has major inefficiencies that make the rebuilding of an imageunnecessarily slow when changes in bottom layers are required: uneven contentdistribution amongst layers, the need to rebuild an entire layer during update,and the rebuild fall-throughs in many cases. In this paper, we propose a codeinjection method that overcomes these inefficiencies by targeting only thechanged layer and then bypassing the layer's content checksum. This process isdeveloped specifically for an interpreted language such as Python, wherechanges can be detected explicitly via text diff tools and run as-is withoutcompilation. We then demonstrate that this method can accelerate the rebuildtime, effectively reducing the O(n) where n = size of layer rebuild time toO(1). Whereas for compiled languages, literal code injection cannot guaranteeintegrity in compiled machine code. Expanding on the same code injectionprinciple, multi-layer targeted code injection will be addressed in a futurediscussion.

A Code Injection Method for Rapid Docker Image Building