A computation offloading scheme leveraging parameter tuning for real-time IoT devices

Proceedings - 2016 IEEE International Symposium on Nanoelectronic and Information Systems, iNIS 2016

Volumn , Issue , 2017, Pages 208-209

  Shukla, Raj Mani ^a   Munir, Arslan ^a  

^a University of Nevada   (United States)

Author keywords

Cloudlet; Computation offloading; IoT; Parameter tuning

Indexed keywords

INFORMATION SYSTEMS; NANOELECTRONICS; PARAMETER ESTIMATION; PERSONAL COMPUTERS; VIDEO SIGNAL PROCESSING;

CLOUDLET; COMPUTATION OFFLOADING; COMPUTING DEVICES; COMPUTING SERVICES; INTERNET OF THING (IOT); OPERATING FREQUENCY; PARAMETER-TUNING; TUNABLE PARAMETER;

INTERNET OF THINGS;

EID: 85013842411     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iNIS.2016.055     Document Type: Conference Paper

References (4)

1. Z. Li, C. Wang, and R. Xu, "Computation Offloading to Save Energy on Handheld Devices: A Partition Scheme , " in Proceedings of the 2001 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems, Atlanta, Georgia, USA, November 2001, pp. 238-246.
2. K. Kumar and Y. H. Lu, "Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?" Journal of Computer, vol. 43, no. 4, pp. 51-56, April 2010.
3. M. Satyanarayanan, P. Bahl, R. Caceres, and N. Davies, "The Case for VM-Based Cloudlets in Mobile Computing, " Journal of IEEE Pervasive Computing, vol. 8, no. 4, pp. 14-23, October 2009.
4. D. E. King, "Dlib-ml: A machine learning toolkit, " Journal of Machine Learning Research, vol. 10, pp. 1755-1758, 2009.