Machine learning-based runtime scheduler for mobile offloading framework

Proceedings - 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing, UCC 2013

Volumn , Issue , 2013, Pages 17-25

  Eom, Heungsik ^a   Juste, Pierre St ^a   Figueiredo, Renato ^a   Tickoo, Omesh ^b   Illikkal, Ramesh ^b   Iyer, Ravishankar ^b  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

^b INTEL CORPORATION   (United States)

Author keywords

cloud; energy consumption; machine learning; mobile platform; offloading; scheduling

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLOUD COMPUTING; CLOUDS; DATA TRANSFER; ENERGY UTILIZATION; IMAGE PROCESSING; LEARNING ALGORITHMS; LEARNING SYSTEMS; MOBILE PHONES;

ADAPTIVE SCHEDULING; INSTANCE BASED LEARNING; MACHINE LEARNING TECHNIQUES; MOBILE PLATFORM; OFFLOADING; SCHEDULING ACCURACY; SCHEDULING DECISIONS; SCHEDULING PERFORMANCE;

SCHEDULING;

EID: 84901649999     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UCC.2013.21     Document Type: Conference Paper

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