Computation offloading

In computer science, computation offloading refers to the transfer of resource intensive computational tasks to an external platform, such as a cluster, grid, or a cloud.[1][2] Offloading may be necessary due to hardware limitations of a devices, such as limited computational power, storage, and energy[3][4]. The resource intensive tasks may be for searching, virus scanning, image processing, artificial intelligence, computational decision making etc[5][6].

The term is mainly used in context of mobile cloud computing, edge computing, and fog computing.

References

  1. ↑ Khan, Atta ur Rehman; Othman, Mazliza; Khan, Abdul Nasir; Shuja, Junaid; Mustafa, Saad (2017-12-01). "Computation Offloading Cost Estimation in Mobile Cloud Application Models". Wireless Personal Communications. 97 (3): 4897–4920. doi:10.1007/s11277-017-4757-3. ISSN 0929-6212.
  2. ↑ Ma, Xiaoqiang; Zhao, Yuan; Zhang, Lei; Wang, Haiyang; Peng, Limei. "When mobile terminals meet the cloud: computation offloading as the bridge". IEEE Network. 27 (5): 28–33. doi:10.1109/MNET.2013.6616112.
  3. ↑ Khan, Atta ur Rehman; Othman, Mazliza; Khan, Abdul Nasir; Shuja, Junaid; Mustafa, Saad (2017-12-01). "Computation Offloading Cost Estimation in Mobile Cloud Application Models". Wireless Personal Communications. 97 (3): 4897–4920. doi:10.1007/s11277-017-4757-3. ISSN 0929-6212.
  4. ↑ Khan, A. R.; Othman, M.; Xia, F.; Khan, A. N. (May 2015). "Context-Aware Mobile Cloud Computing and Its Challenges". IEEE Cloud Computing. 2 (3): 42–49. doi:10.1109/MCC.2015.62. ISSN 2325-6095.
  5. ↑ Khan, Atta ur Rehman; Othman, Mazliza; Khan, Abdul Nasir; Abid, Shahbaz Akhtar; Madani, Sajjad Ahmad (2015-12-01). "MobiByte: An Application Development Model for Mobile Cloud Computing". Journal of Grid Computing. 13 (4): 605–628. doi:10.1007/s10723-015-9335-x. ISSN 1570-7873.
  6. ↑ Khan, Atta ur Rehman; Othman, Mazliza; Ali, Mazhar; Khan, Abdul Nasir; Madani, Sajjad Ahmad (2014-05-01). "Pirax: framework for application piracy control in mobile cloud environment". The Journal of Supercomputing. 68 (2): 753–776. doi:10.1007/s11227-013-1061-1. ISSN 0920-8542.
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