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Tactic: [Optimize Module Parameters for Efficiency]
Tactic sort:
Awesome Tactic
Type: Architectural Tactic
Category: resource-adaptation
Title
[Optimize Module Parameters for Efficiency]
Description
Tune the configuration parameters of individual modules in a software workflow to optimize performance and energy consumption. This involves conducting controlled experiments to quantify the resource impact of different parameter settings and composing workflows accordingly. Parameters can be adapted based on current hardware resources, enabling lighter or deferred workloads when needed. Domain expertise is necessary to ensure meaningful parameter combinations, especially in specialized fields like molecular docking
Participant
Scientific software developers, domain experts (e.g., bioinformaticians)
Related software artifact
Module configuration parameters, parameterized workflow scripts
Context
Software systems (e.g., scientific platforms) that support reconfigurable modules and expose user-tunable parameters. Useful when workflows are run in resource-constrained or performance-sensitive environments
Software feature
Workflow composition, configuration tuning
Tactic intent
To enhance energy efficiency and resource utilization by selecting optimal parameter configurations per module
Target quality attribute
Energy efficiency
Other related quality attributes
< unknown >
Measured impact
Energy consumption and execution time
Source
Stoico, Vincenzo and Voronovs, Dmitrijs and Malavolta, Ivano and Lago, Patricia, How Does Parallelism Impact the Energy Efficiency and Performance of High-Performance Scientific Software? The Case of Haddock (February 13, 2025). (DOI: http://dx.doi.org/10.2139/ssrn.5137167)Graphical representation
