This dataset supports the article entitled "Collaborative Adaptation for Energy-Efficient Heterogeneous Mobile SoCs" accepted for publication in IEEE TRANSACTIONS ON COMPUTERS, August 2019.

Dataset DOI: 

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Person responsible for collecting the data: Amit Kumar Singh, a.k.singh@essex.ac.uk

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Date of data collection: 01/08/2017 to 07/04/2019 

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Licenses/restrictions placed on the data: CC-BY/Public - No restriction

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Links to publications that cite or use the data: xxxxx 

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Data Supporting Figures:

Fig. 7 - Energy consumption by various approaches for different run-time scenarios: (a) single, (b) two and (c) three concurrent applications, without runtime application addition.

Fig. 8 - Energy consumption at varying performance constraints.

Fig. 9 - Energy consumption by various approaches for different run-time scenarios: (a) single, (b) two, and (c) three initial concurrent applications, and random number (X) of applications added at different moments of time in each scenario.

Fig. 10 - Performance improvement in different run-time scenarios.

Fig. 11 - Adaptation overhead for different run-time scenarios.