- author = "Mahmoud A. Bokhari and Markus Wagner and Brad Alexander",
- title = "The Quest for Non-Functional Property Optimisation in Heterogeneous and Fragmented Ecosystems: a Distributed Approach",
- booktitle = "7th edition of GI @ GECCO 2019",
- year = "2019",
- month = jul # " 13-17",
- editor = "Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- address = "Prague, Czech Republic",
- pages = "1705--1706",
- organisation = "SIGEVO",
- keywords = "genetic algorithms, genetic programming, genetic improvement, smartphone, Hardware, Batteries, Software maintenance tools, Non-functional properties, energy consumption, mobile applications, Android",
- isbn13 = "978-1-4503-6748-6",
-
URL = "
https://cs.adelaide.edu.au/~markus/pub/2019gecco-islands.pdf",
-
DOI = "
doi:10.1145/3319619.3326877",
- size = "2 pages",
- abstract = "The optimisation of non-functional properties of software is of growing importance in all scales of modern computing (from embedded systems to data-centres). In mobile computing, smart devices have complex interactions between their hardware and software components. Small changes in the environment can greatly impact the measurements of non-functional properties of software. In-vivo optimisation of applications on a platform can be used to evolve robust new solutions. However, the portability of such solutions performance across different platforms is questionable. In this paper we discuss the issue of optimising the non-functional properties of applications running in the Android ecosystem. We also propose a distributed framework that can mitigate such issues.",
-
notes = "
Also known as \cite{Bokhari:2019:GECCOcomp}
Also known as \cite{3326877} GECCO-2019 A Recombination of the 28th International Conference on Genetic Algorithms (ICGA) and the 24th Annual Genetic Programming Conference (GP)",
