Emc: Emotion-aware mobile cloud computing in 5G
Abstract
With the development of 5G, the wireless world will be interconnected without barriers. This new technology will enable many challenging applications, and more personalized and interactive services are expected to be available with resource-limited mobile terminals. Fortunately, mobile cloud computing (MCC) emerging in the context of 5G has the potential to overcome this bottleneck, which enables many resource-intensive services for mobile users with the support of mobile big data delivery and cloud-assisted computing. In this article we propose a novel framework named EMC in the context of 5G, which offers personalized emotion-aware services by MCC and affective computing. With the proposed framework, the traditional MCC architecture is modified to achieve the required Quality of Experience in emotion-aware applications. Furthermore, we design a partitioning solution corresponding to the fundamental trade-off between the communication and computation in EMC. The framework would be helpful to provide personalized, human-centric, intelligent emotion-aware services in 5G.
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- Authors
- Chen, M., Zhang, Y., Li, Y., Mao, S., & Leung, V. C. M.
- Affiliations
- Huazhong University of Science and Technology (CN)
- Tsinghua University (CN)
- Auburn University (US)
- University of British Columbia (CA)
- Venue
- IEEE Network
- Published
- 2015-03
- Volume
- 29
- Issue
- 2
- Pages
- 32-38
- ISSN
- 0890-8044 (ISSN-L)
- OpenAlex
- W2059145255
- Cited by
- 179
- References
- 11
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 11 · 2022: 10 · 2021: 2 · 2020: 21 · 2019: 13 · 2018: 21 · 2017: 32 · 2016: 48 · 2015: 17
- FWCI
- 45.09
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Network (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Hardware and Architecture › Cloud Computing and Remote Desktop Technologies
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Keywords
- 5G, affective computing, personalized services, quality of experience, computation-communication trade-off, task decomposition
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