Energy-Efficient Computation Offloading for Multimedia Workflows in Mobile Cloud Computing
| Autor: | Xiaolong Xu, Shengjun Xue, Tao Huang, Lianyong Qi, Yi Chen, Haojun Ji, Yuan Xue |
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| Rok vydání: | 2019 |
| Předmět: |
020203 distributed computing
Multimedia business.industry Computer science 020206 networking & telecommunications Cloud computing 02 engineering and technology Energy consumption computer.software_genre Mobile cloud computing Workflow 0202 electrical engineering electronic engineering information engineering Computation offloading Cloudlet business Mobile device computer Efficient energy use |
| Zdroj: | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030129705 TRIDENTCOM |
| DOI: | 10.1007/978-3-030-12971-2_7 |
| Popis: | In recent years, mobile cloud computing (MCC) is utilized to process multimedia workflows due to the limitation of battery capacity of mobile devices, which influences the experience of multimedia applications on the mobile devices. Computation offloading based on cloudlet is introduced as a novel paradigm to relieve the high latency which offloading computation to remote cloud causes. However, it is still a challenge for mobile devices to offload computation of multimedia workflows in cloudlet-based cloud computation environment to reduce energy consumption, which meets time constraints at the same time. In view of the challenge, an energy-efficient computation offloading method of multimedia workflow with multi-objective optimization is proposed in this paper. Technically, an offloading method based on cloudlet using Differential Evolution (DE) algorithm is proposed to optimize the energy consumption of the mobile devices with time constraints. Finally, massive experimental evaluations and comparison analysis validate the efficiency of our proposed method. |
| Databáze: | OpenAIRE |
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