Project Website: https://boinc.berkeley.edu
Mobile Grid Extension that add some aditional features to BOINC in terms of scheduling strategies. Added a predictive model based scheduling strategy for mobile devices that uses the battery consuption rate as a factor for asign and deliver jobs. Added a replication strategy that uses a RL like approach to calculate the number of replicas to generate for a given workunit based on the previous results and the battery consumed in other mobile devices. Added a BOINC-MGE API that exposes some helper functions to integrate new scheduling strategies when running BOINC in a mobile grid enviroment.
See: https://boinc.berkeley.edu/trac/wiki
When using BOINC-MGE, some additional database tables have to be created. Be sure to run the SQL script db/schema_mge.sql in your project database if you want to enable BOINC-MGE features.
Also, be sure to compile all boinc components (including Android App) using the flag: --enable-boincmge
See: https://boinc.berkeley.edu/trac/wiki/TranslateIntro
See: https://boinc.berkeley.edu/trac/wiki/SoftwareDevelopment
The University of California holds the copyright on all BOINC source code. By submitting contributions to the BOINC code, you irrevocably assign all right, title, and interest, including copyright and all copyright rights, in such contributions to The Regents of the University of California, who may then use the code for any purpose that it desires.
BOINC is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
BOINC is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License along with BOINC. If not, see https://www.gnu.org/licenses/.
A paper will be published soon describing this extension and its results when used in a mobile grid environment.