KaliGreen: A distributed Scheduler for Energy Saving

Hernán H Álvarez Valera , Philippe Roose (1, 2) , Marc Dalmau (1) , Christina Herzog (3) , Kyle Respicio

1 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour
2 UPPA - Université de Pau et des Pays de l'Adour
3 IRIT-SEPIA - Système d’exploitation, systèmes répartis, de l’intergiciel à l’architecture

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.

Mots clés: Green Computing; Smartphones; Microservices; Distributed applications

Domaines: Autre [cs.OH]; Informatique [cs]

Hernán H Álvarez Valera, Philippe Roose, Marc Dalmau, Christina Herzog, Kyle Respicio. KaliGreen: A distributed Scheduler for Energy Saving. Procedia Computer Science, 2018, 141 (Special issue: The 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018)), pp.223-230. ⟨10.1016/j.procs.2018.10.172⟩. ⟨hal-02437041⟩