Investigating the performance impacts of I/O operations and disk cache on operating systems for wearables

Amorim, Vicente J. P.; Delabrida, Saul; Oliveira, Ricardo Augusto Rabelo

doi:10.1145/3167132.3167411

Cited by 1 publication

(2 citation statements)

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“…The authors already investigated OSs performance impacts on wearable devices. Previous work [31,32,33] measure and compare different variables as a means to figure out the relevance of a well-tuned OS. Results pointed out the need to provide more focus on the wearables software part.…”

Section: Related Workmentioning

confidence: 99%

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Software and Hardware Requirements and Trade-Offs in Operating Systems for Wearables: A Tool to Improve Devices’ Performance

Amorim

Silva

Oliveira

2019

Sensors

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Wearable device requirements currently vary from soft to hard real-time constraints. Frequently, hardware improvements are a way to speed-up the global performance of a solution. However, changing some parts or the whole hardware may increase device complexity, raising the costs and leading to development delays of products or research prototypes. This paper focuses on software improvements, presenting a tool designed to create different versions of operating systems (OSs) fitting the specifications of wearable devices projects. Authors have developed a software tool allowing the end-user to craft a new OS in just a few steps. In order to validate the generated OS, an original wearable prototype for mining environments is outlined. Resulting data presented here allows for measuring the actual impact an OS has in different variables of a solution. Finally, the analysis also allows for evaluating the performance impact associated with each hardware part. Results suggest the viability of using the proposed solution when searching for performance improvements on wearables.

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Section: Related Workmentioning

confidence: 99%

“…In previous research [31,32,33], authors conducted an effort to evaluate the performance of common OSs used in wearables. A proper categorization was used as a means to segment and evaluate interesting and relevant features.…”

Section: Introductionmentioning

confidence: 99%