Elicit: Efficiently identify computation-intensive tasks in mobile applications for offloading

Proceedings of the 2015 IEEE International Conference on Networking, Architecture and Storage, NAS 2015

Volumn , Issue , 2015, Pages 12-22

  Hassan, Mohammed A ^a,b   Wei, Qi ^a,b   Chen, Songqing ^a,b  

^a Network Appliance Inc   (United States)

^b George Mason University   (United States)

Author keywords

Mobile applications; Mobile handsets; Performance gain; Servers; Support vector machines; Time factors; Training

Indexed keywords

ENERGY UTILIZATION; MOBILE COMPUTING; MOBILE DEVICES; PERSONNEL TRAINING; SERVERS; SUPPORT VECTOR MACHINES;

ANDROID APPLICATIONS; APPLICATION DEVELOPERS; COMPUTATION-INTENSIVE TASK; COMPUTING RESOURCE; MOBILE APPLICATIONS; MOBILE HANDSETS; PERFORMANCE GAIN; TIME FACTORS;

MOBILE TELECOMMUNICATION SYSTEMS;

EID: 84960883035     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAS.2015.7255215     Document Type: Conference Paper

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