The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach

Mahmoud A. Bokhari; Markus Wagner; Brad Alexander

doi:10.1145/3319619.3326877

The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach

Mahmoud A. Bokhari, Markus Wagner, Brad Alexander

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
Editors	Anne Auger, Thomas Stützle
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	1705-1706
Number of pages	2
ISBN (Electronic)	9781450367486
DOIs	https://doi.org/10.1145/3319619.3326877
Publication status	Published - 2019
Externally published	Yes
Event	The Genetic and Evolutionary Computation Conference 2019 - Prague, Czechia Duration: 13 Jul 2019 → 17 Jul 2019 Conference number: 21st https://gecco-2019.sigevo.org/index.html/HomePage https://dl.acm.org/doi/proceedings/10.1145/3321707 (Proceedings)

Conference

Conference	The Genetic and Evolutionary Computation Conference 2019
Abbreviated title	GECCO 2019
Country/Territory	Czechia
City	Prague
Period	13/07/19 → 17/07/19
Internet address	https://gecco-2019.sigevo.org/index.html/HomePage https://dl.acm.org/doi/proceedings/10.1145/3321707 (Proceedings)

Keywords

Android
Energy consumption
Mobile applications
Non-functional properties

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3319619.3326877

Cite this

Bokhari, M. A., Wagner, M., & Alexander, B. (2019). The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach. In A. Auger, & T. Stützle (Eds.), Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion (pp. 1705-1706). Association for Computing Machinery (ACM). https://doi.org/10.1145/3319619.3326877

Bokhari, Mahmoud A. ; Wagner, Markus ; Alexander, Brad. / The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems : a distributed approach. Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. editor / Anne Auger ; Thomas Stützle. New York NY USA : Association for Computing Machinery (ACM), 2019. pp. 1705-1706

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title = "The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach",

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.",

keywords = "Android, Energy consumption, Mobile applications, Non-functional properties",

author = "Bokhari, \{Mahmoud A.\} and Markus Wagner and Brad Alexander",

note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; The Genetic and Evolutionary Computation Conference 2019, GECCO 2019 ; Conference date: 13-07-2019 Through 17-07-2019",

year = "2019",

doi = "10.1145/3319619.3326877",

language = "English",

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booktitle = "Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

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Bokhari, MA, Wagner, M & Alexander, B 2019, The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach. in A Auger & T Stützle (eds), Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM), New York NY USA, pp. 1705-1706, The Genetic and Evolutionary Computation Conference 2019, Prague, Czechia, 13/07/19. https://doi.org/10.1145/3319619.3326877

The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach. / Bokhari, Mahmoud A.; Wagner, Markus; Alexander, Brad.
Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. ed. / Anne Auger; Thomas Stützle. New York NY USA: Association for Computing Machinery (ACM), 2019. p. 1705-1706.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

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AB - 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.

KW - Android

KW - Energy consumption

KW - Mobile applications

KW - Non-functional properties

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SP - 1705

EP - 1706

BT - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

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Y2 - 13 July 2019 through 17 July 2019

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Bokhari MA, Wagner M, Alexander B. The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach. In Auger A, Stützle T, editors, Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. New York NY USA: Association for Computing Machinery (ACM). 2019. p. 1705-1706 doi: 10.1145/3319619.3326877

The quest for non-functional property optimisation in heterogeneous and fragmented ecosystems: a distributed approach

Abstract

Conference

Keywords

UN SDGs

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