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Content Provider | IEEE Xplore Digital Library |
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Author | Dinh Thai Hoang Niyato, D. Long Bao Le |
Copyright Year | 2014 |
Description | Author affiliation: Inst. Nat. de la Rech. Sci. (INRS), Univ. of Quebec, Montreal, QC, Canada (Long Bao Le) || Sch. of Comput. Eng., Nanyang Technol. Univ. (NTU), Singapore, Singapore (Dinh Thai Hoang; Niyato, D.) |
Abstract | This paper considers an admission control problem for a mobile cloud computing hotspot with a cloudlet. We first formulate the admission control problem as a Markov decision process (MDP). The objective is to maximize the average reward in terms of revenue for cloudlet service providers. However, the MDP could suffer from the complexity problem (i.e, curse of dimensionality). Therefore, we apply the simulation-based algorithm to obtain the optimal policy for the MDP. The algorithm can estimate the performance measure to update the policy gradient in an online fashion. The performance evaluation of the proposed algorithm uses parameters setting profiled from real mobile applications. The extensive simulation results clearly show the convergence and the efficiency of the proposed algorithm. |
Starting Page | 3764 |
Ending Page | 3769 |
File Size | 434593 |
Page Count | 6 |
File Format | |
ISBN | 9781479920037 |
DOI | 10.1109/ICC.2014.6883907 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-06-10 |
Publisher Place | Australia |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Mobile communication Vectors Admission control Cloud computing Convergence Markov processes Delays Markov decision processes Mobile cloud applications cloudlet simulation-based algorithm |
Content Type | Text |
Resource Type | Article |
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