KaliGreen: A distributed Scheduler for Energy Saving | Zendy

Hernn H. lvarez-Valera | Zendy; Philippe Roose | Zendy; Marc Dalmau | Zendy; Christina Herzog | Zendy; Kyle Respicio | Zendy

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KaliGreen: A distributed Scheduler for Energy Saving

Author(s) -

Hernn H. lvarez-Valera,

Philippe Roose,

Marc Dalmau,

Christina Herzog,

Kyle Respicio

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.10.172

Subject(s) - microservices , computer science , battery (electricity) , middleware (distributed applications) , energy consumption , embedded system , mobile device , efficient energy use , architecture , distributed computing , operating system , cloud computing , art , ecology , power (physics) , physics , quantum mechanics , electrical engineering , visual arts , biology , engineering

A commonplace issue with portable technology is battery efficiency. While many industries are trying their best to improve battery life without sacrificing a products quality and efficiency, we believe that further can be done to improve battery consumption on ones mobile devicefrom 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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