Abstract
Different batteries have different desirable properties like energy density, peak power, recharge time, longevity, efficiency, etc. So, it is beneficial if we multiplex different types of batteries in a single device. In this paper, we look at ways of scheduling workloads over the multiplexed batteries to maximize the overall efficiency. We consider two ways to model the efficiency and give efficient solutions to the same.
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We will use the terms workload and charge interchangeably.
References
Anirudh, B., et al.: Software defined batteries. In: Proceedings of the 25th Symposium on Operating Systems Principles, SOSP 2015, pp. 215–229. ACM, New York (2015). https://doi.org/10.1145/2815400.2815429
Heath, M.: Scientific Computing, 2nd edn. McGraw-Hill Inc., New York (2002)
Keshav, S.: Technical perspective: the chemistry of software-defined batteries. Commun. ACM 59(12), 110 (2016). https://doi.org/10.1145/3007177
Nikhil, B., Tracy, K., Kirk, P.: Speed scaling to manage energy and temperature. J. ACM 54(1), 3:1–3:39 (2007). https://doi.org/10.1145/1206035.1206038
Simonite, T.: Gadgets could get longer lives by combining batteries. https://www.technologyreview.com/s/541861/gadgets-could-get-longer-lives-by-combining-batteries/
Susanne, A., Hiroshi, F.: Energy-efficient algorithms for flow time minimization. ACM Trans. Algorithms 3(4) (2007). https://doi.org/10.1145/1290672.1290686
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Agrawal, A., Shah, K., Kumar, A., Chandra, R. (2019). Battery Scheduling Problem. In: Gopal, T., Watada, J. (eds) Theory and Applications of Models of Computation. TAMC 2019. Lecture Notes in Computer Science(), vol 11436. Springer, Cham. https://doi.org/10.1007/978-3-030-14812-6_1
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DOI: https://doi.org/10.1007/978-3-030-14812-6_1
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