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Chun, B.G. and Maniatis, P. (2010) Dynamically Partitioning Applications between Weak Devices and Clouds. Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond, San Francisco, 15 June 2010, Article No. 7.
https://doi.org/10.1145/1810931.1810938

has been cited by the following article:

• TITLE: Energy Aware Task Assignment with Cost Optimization in Mobile Cloud Computing

  AUTHORS: Irfan Ali Jamali, Abdullah Lakhan, Abdul Rasheed Mahesar, Dileep Kumar Sajnani

  KEYWORDS: Mobile Cloud Computing, Energy-Efficient Task Offloading, EETS, Mobile Offloading

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.11 No.8, August 31, 2018

  ABSTRACT: In this paper, we are investigating the power consumption of mobile device while performing offloading system. The offloading system is way in which mobile application can be divided into local and remote execution in order to alleviate the CPU energy consumption. However, existing offloading systems do not consider data transfer communication energy while performing mobile offloading system. They have just focused on mobile CPU energy consumption. In this paper, we are investigating the energy consumption mobile CPU and communication energy collaboratively while performing mobile offloading for complex application. To cope up with the above problem, we have proposed Energy Efficient Task Scheduler (EETS) algorithm, whose aim is to determine optimal tasks execution in offloading system in order to minimize mobile CPU and communication energy. Simulation results show that EETS outperforms as compared to baseline approaches.