Scheduling Strategies for Mobile D evices in BOINC
Creators
- 1. Facultad de Ingeniería. Pontificia Universidad Javeriana (PUJ) – Bogotá, DC – Colombia
Description
Executing tasks on mobile devices brings some challenges that must be addressed, such as device heterogeneity, limited CPU power, limited memory, short battery life, mobility, and intermittent disconnections. BOINC (Berkeley Open Infrastructure for Network Computing), the platform chosen in our research project that aims to process medical
images using mobile phones, does not completely solve these challenges. In this sense, this article's objective is to present the modifications to BOINC's scheduling strategy to consider the characteristics of mobile devices and
possible disconnections. The article describes BOINC-MGE (BOINC - Mobile Grid Extension), a BOINC extension that incorporates two new task scheduling algorithms to ensure the completion of tasks while efficiently using the mobile devices' energy. The strategies are tested using an image segmentation algorithm.
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Related works
- Is part of
- gnd:2446-7634 (ISSN) (gnd)