Efficient three-stage auction schemes for cloudlets deployment in wireless access network

Cloudlet deployment and resource allocation for mobile users (MUs) have been extensively studied in existing works for computation resource scarcity. However, most of them failed to jointly consider the two techniques together, and the selfishness of cloudlet and access point (AP) are ignored. Inspired by the group-buying mechanism, this paper proposes three-stage auction schemes by combining cloudlet placement and resource assignment, to improve the social welfare subject to the economic properties. We first divide all MUs into some small groups according to the associated APs. Then the MUs in same group can trade with cloudlets in a group-buying way through the APs. Finally, the MUs pay for the cloudlets if they are the winners in the auction scheme. We prove that our auction schemes can work in polynomial time. We also provide the proofs for economic properties in theory. For the purpose of performance comparison, we compare the proposed schemes with HAF, which is a centralized cloudlet placement scheme without auction. Numerical results confirm the correctness and efficiency of the proposed schemes.

[1]  Dejun Yang,et al.  Truthful group buying-based spectrum auction design for cognitive radio networks , 2014, 2014 IEEE International Conference on Communications (ICC).

[2]  Qian Zhang,et al.  Groupon in the Air: A three-stage auction framework for Spectrum Group-buying , 2013, 2013 Proceedings IEEE INFOCOM.

[3]  Chonho Lee,et al.  Auction Approaches for Resource Allocation in Wireless Systems: A Survey , 2013, IEEE Communications Surveys & Tutorials.

[4]  Sumei Sun,et al.  Incentive mechanism design for mobile data offloading in heterogeneous networks , 2015, 2015 IEEE International Conference on Communications (ICC).

[5]  Mark Klein,et al.  Auctions and bidding: A guide for computer scientists , 2011, CSUR.

[6]  Weifa Liang,et al.  Cloudlet load balancing in wireless metropolitan area networks , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[7]  Min Chen,et al.  On the computation offloading at ad hoc cloudlet: architecture and service modes , 2015, IEEE Communications Magazine.

[8]  Bharat K. Bhargava,et al.  A Survey of Computation Offloading for Mobile Systems , 2012, Mobile Networks and Applications.

[9]  Mahadev Satyanarayanan,et al.  Pervasive computing: vision and challenges , 2001, IEEE Wirel. Commun..

[10]  Andrew V. Goldberg,et al.  Competitive Auctions for Multiple Digital Goods , 2001, ESA.

[11]  Athanasios V. Vasilakos,et al.  Mobile Cloud Computing: A Survey, State of Art and Future Directions , 2013, Mobile Networks and Applications.

[12]  Weihua Zhuang,et al.  Auction-Based Resource Allocation for Sharing Cloudlets in Mobile Cloud Computing , 2018, IEEE Transactions on Emerging Topics in Computing.

[13]  Min Chen,et al.  Opportunistic Task Scheduling over Co-Located Clouds in Mobile Environment , 2018, IEEE Transactions on Services Computing.

[14]  Weifa Liang,et al.  Throughput maximization for online request admissions in mobile cloudlets , 2013, 38th Annual IEEE Conference on Local Computer Networks.

[15]  Muriati Mukhtar,et al.  A combinatorial double auction resource allocation model in cloud computing , 2016, Inf. Sci..

[16]  Weifa Liang,et al.  Capacitated cloudlet placements in Wireless Metropolitan Area Networks , 2015, 2015 IEEE 40th Conference on Local Computer Networks (LCN).

[17]  Long Chen,et al.  TACD: A Three-Stage Auction Scheme for Cloudlet Deployment in Wireless Access Network , 2017, WASA.

[18]  Weifa Liang,et al.  Optimal Cloudlet Placement and User to Cloudlet Allocation in Wireless Metropolitan Area Networks , 2017, IEEE Transactions on Cloud Computing.

[19]  Paramvir Bahl,et al.  The Case for VM-Based Cloudlets in Mobile Computing , 2009, IEEE Pervasive Computing.

[20]  Chunxiao Jiang,et al.  Resource Allocation for Cognitive Small Cell Networks: A Cooperative Bargaining Game Theoretic Approach , 2015, IEEE Transactions on Wireless Communications.

[21]  Victor C. M. Leung,et al.  Energy-efficient resource scheduling for NOMA systems with imperfect channel state information , 2017, 2017 IEEE International Conference on Communications (ICC).

[22]  Myung J. Lee,et al.  Adaptive Multi-Resource Allocation for Cloudlet-Based Mobile Cloud Computing System , 2016, IEEE Transactions on Mobile Computing.