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The 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) KaliGreen: A distributed Scheduler for Energy Saving

Abstract : A commonplace issue with portable technology is battery efficiency. While many industries are trying their best to improve battery life without sacrificing a product's quality and efficiency, we believe that further can be done to improve battery consumption on one's mobile device-from tablets to smartphones to laptops to everything else. Many applications on these devices are based on a microservice architecture. In this article, we introduce a new algorithm KaliGreen that can maneuver the microservices within a network of devices in order to maximize the run-time of a microservice-based application; moreover, KaliGreen allows a 54% increase in the average run-time of an application by shifting microservices from 6 devices (as example) with low battery or inefficient processing ratios to devices in better conditions. To achieve this, KaliGreen utilizes KaliMucho middleware, which is able manipulate microservices in run-time. This algorithm provides a plausible solution to maximizing energy consumption within a network of devices.
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https://hal-univ-pau.archives-ouvertes.fr/hal-02437041
Contributor : Philippe Roose <>
Submitted on : Monday, January 13, 2020 - 3:15:50 PM
Last modification on : Tuesday, April 21, 2020 - 1:59:24 AM
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  • HAL Id : hal-02437041, version 1

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Hernán Álvarez-Valera, Philippe Roose, Marc Dalmau, Christina Herzog, Kyle Respicio. The 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) KaliGreen: A distributed Scheduler for Energy Saving. Procedia Computer Science, Elsevier, 2018, pp.223-230. ⟨hal-02437041⟩

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