Signal and information processing in mobile cloud computing: Trends and challenges

被引:0
作者
Lin, Chia-Yu [1 ]
Wang, Li-Chun [1 ]
机构
[1] Department of Electrical and Computer Engineering, National Chiao Tung University
关键词
Mobile cloud computing; Multi-sensing fusion technology;
D O I
10.12720/jcm.10.9.659-665
中图分类号
TP33 [电子数字计算机(不连续作用电子计算机)];
学科分类号
081201 ;
摘要
Mobile devices become popular with the help of hardware improvements and new functions supported by many sensors. In this paper, we propose a mobile and multi-sensing fusion platform to integrate the unstructured streaming sensing data collecting as well as processing technology and build a QoS (quality of service) performance model to estimate the computing resource of the platform. We also demonstrate three mobile and multi-sensing fusion applications as the examples on the platform. Besides, we discuss the trend and challenges of combining the mobile as well as multi-sensing fusion technology and signal and information processing in mobile cloud computing in great detail. © 2015 Journal of Communications.
引用
收藏
页码:659 / 665
页数:6
相关论文
共 50 条
[31]   A Survey of Mobile Cloud Computing [J].
Xiaopeng Fan Jiannong Cao and Haixia Mao Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Department of Computing Hong Kong Polytechnic University Department of Land Surveying and Geoinformatics Hong Kong Polytechnic University .
ZTE Communications, 2011, 9 (01) :4-8
[32]   A REVIEW OF MOBILE CLOUD COMPUTING [J].
Atre, Hitika ;
Razdan, Karan ;
Sagar, Raj Kumar .
2016 6TH INTERNATIONAL CONFERENCE - CLOUD SYSTEM AND BIG DATA ENGINEERING (CONFLUENCE), 2016, :199-202
[33]   Mobile cloud computing: A survey [J].
Fernando, Niroshinie ;
Loke, Seng W. ;
Rahayu, Wenny .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2013, 29 (01) :84-106
[34]   Cloud Computing for Emerging Mobile Cloud Apps [J].
Bahrami, Mehdi .
2015 3RD IEEE INTERNATIONAL CONFERENCE ON MOBILE CLOUD COMPUTING, SERVICES, AND ENGINEERING (MOBILECLOUD 2015), 2015, :4-5
[35]   An approach for offloading in mobile cloud computing to optimize power consumption and processing time [J].
Aldmour, Rakan ;
Yousef, Sufian ;
Baker, Thar ;
Benkhelifa, Elhadj .
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2021, 31
[36]   MDP Based Optimal Policy for Collaborative Processing using Mobile Cloud Computing [J].
Nasseri, Mona ;
Alam, Mansoor ;
Green, Robert C., II .
PROCEEDINGS OF THE 2013 IEEE 2ND INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (CLOUDNET), 2013, :123-129
[37]   An Extendable Simulation Framework for Modeling Application Processing Potentials of Smart Mobile Devices for Mobile Cloud Computing [J].
Shiraz, Muhammad ;
Gani, Abdullah ;
Khokhar, Rashid Hafeez ;
Ahmed, Ejaz .
10TH INTERNATIONAL CONFERENCE ON FRONTIERS OF INFORMATION TECHNOLOGY (FIT 2012), 2012, :331-336
[38]   Trends, drivers and barriers influencing Cloud Computing Services for mobile interactions in teaching and learning [J].
van der Merwe, Ronell ;
van Biljon, Judy .
2018 CONFERENCE ON INFORMATION COMMUNICATIONS TECHNOLOGY AND SOCIETY (ICTAS), 2018,
[39]   MOBILE COMPUTING: ISSUES AND CHALLENGES [J].
Umair, Sajid ;
Muneer, Umair ;
Zahoor, Muhammad Nauman ;
Malik, Asad W. .
2015 12TH INTERNATIONAL CONFERENCE ON HIGH-CAPACITY OPTICAL NETWORKS AND ENABLING/EMERGING TECHNOLOGIES (HONET), 2015, :28-32
[40]   Dynamic energy-saving approaches in mobile cloud computing: Issues, challenges and approaches [J].
Krishnamurthi R. ;
Goyal M. .
International Journal of Cloud Computing, 2019, 8 (04) :332-353