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Optimal Device Selection for Offloading Application Mobile Codes in Pervasive Environments

EasyChair Preprint no. 5209

8 pagesDate: March 24, 2021


With fast growing research in the area of application partitioning for offloading, determining which devices to prioritize over the other for mobile code offloading is fundamental. Multiple methods can be adopted using both single-criterion and multiple-criteria strategies. Due to the characteristics of pervasive environments, whereby devices having different computing capability, different level of privacy and security and the mobility nature in such environment makes the decision-making process complex. To this end, this paper proposes a method using a combination of AHP to get weights of the criteria for each participating device and fuzzy TOPSIS to determine the priorities of the devices in the decision-making process. An evaluation of the method is also presented.

Keyphrases: AHP, application partitioning, device selection, Fuzzy TOPSIS, pervasive environments

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Nevin Vunka Jungum and Nawaz Mohamudally and Nimal Nissanke},
  title = {Optimal Device Selection for Offloading Application Mobile Codes in Pervasive Environments},
  howpublished = {EasyChair Preprint no. 5209},

  year = {EasyChair, 2021}}
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