Open AccessSingle and Double-Threaded Offloading Strategies and Computational Analysis in Mobile Cloud Computing
Author(s) -
Siyu Xia,
Mingyuan Jiu,
Chenglong Fan
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1437/1/012018
Subject(s) - computer science , mobile cloud computing , thread (computing) , cloud computing , energy consumption , power consumption , mobile device , distributed computing , mobile computing , computer network , operating system , power (physics) , engineering , physics , electrical engineering , quantum mechanics
At present, mobile devices are hard to support the increasing number of intensive applications due to their limited power and fixed storage size, therefore, how to improve the computing power and also reduce the energy consumption is a crucial problem in the development of mobile terminals. In order to solve this problem, a new offloading scheme is proposed based on the combination of double-thread computing scheme and offloading strategy in this paper. First, we combine single and double-threaded computing with mobile cloud computing and obtain the optimal offloading strategy through component partitioning and the single-threaded application theorem. Then the energy consumption is analyzed on the basis of double-thread calculation. Finally, we compare the performance of single-thread and double-thread offloading strategy in terms of energy consumption and delay of mobile cloud computing. The results show that the double-thread offloading strategy has the least energy consumption and has better characteristics.