Journal
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
Volume -, Issue -, Pages -Publisher
SPRINGEROPEN
DOI: 10.1186/s13638-015-0503-2
Keywords
Service computing; Service providing; Cloud radio accessing networks; Queueing theory
Funding
- National Natural Science Foundation of China [61303043, 61502056, 61572389]
- Hunan Provincial Natural Science Foundation of China, China [13JJ4052, 2015JJ3010]
- Scientific Research Fund of Hunan Provincial Education Department [13C1022, 13C1023, 15B009]
- Shenzhen S&T Innovation Project [JCYJ20140610151856732]
- UK EPSRC Project NIRVANA [EP/L026031/1]
- EU H2020 Project iCIRRUS [GA-644526]
- Key projects of Hunan Provincial Education Department [14A004]
- Scientific Research Fund of Hunan Provincial Transportation Department [201446]
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Much work has been conducted to design effective and efficient algorithms for quality of service (QoS)-aware service computing in the past several years. The wireless mobile computing and cloud computing environments have brought many challenges to QoS-aware service providing. Mobile cloud computing (MCC) and cloud radio accessing networks (C-RANs) are the new paradigms arising in recent years. This work proposes a wireless data service providing framework in C-RAN aiming to provide data service in C-RAN by a more efficient way. The efficiency is measured by cost with time constraint. An abstract formal model is built on the proposed framework, and the corresponding optimal solution is deduced theoretically using queuing theory and convex optimization. The simulation results show that the proposed optimal strategy on the optimal solution works well and has a better performance than compared one.
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