Incentivizing Hosts via Multilateral Cooperation in User-Provided Networks: A Fluid Shapley Value Approach

Successful operation of User-Provided Networks (UPN) requires that both of Internet Service Provider (ISP) and self network-operating users (hosts) cooperate appropriately in terms of resource sharing and pricing strategy since ISP and hosts have a multilateral reliance on each other with respect to virtual infrastructure expansion and Internet connectivity. However, it has been underexplored whether such cooperation provides sufficient incentive to ISP and hosts under a setup where ISP and hosts are fully included, having a high dependence on how to cooperate and how to distribute the resulting cooperation worth. In this paper, we model a market of UPN, consisting of ISP, hosts, and clients via game theory, where we model various heterogeneities in terms of (i) willingness to pay and mobility pattern of clients, (ii) hosts' QoS, and (iii) type of cooperation among ISP and hosts. The key technical challenges lie in the natural mixture of cooperative and non-cooperative game theoretic angles, where the worth function---one of the crucial components in coalitional game theory---comes from the equilibrium of an embedded, non-cooperative two-stage dynamic game. We consider the Shapley value as a mechanism of revenue sharing and overcome its hardness in characterization by taking the fluid limit when the number of hosts and clients is large. Our analytical studies reveal useful implications that in UPN when and how much economic benefits can be given to the players and when they maintain their grand coalition under what conditions, referred to as stability.

[1]  L. Shapley Cores of convex games , 1971 .

[2]  Lin Gao,et al.  Economic Analysis of Crowdsourced Wireless Community Networks , 2017, IEEE Transactions on Mobile Computing.

[3]  Rajkumar Buyya,et al.  Fog Computing: Helping the Internet of Things Realize Its Potential , 2016, Computer.

[4]  Ming Tang,et al.  Optimizations and Economics of Crowdsourced Mobile Streaming , 2017, IEEE Communications Magazine.

[5]  L. Shapley A Value for n-person Games , 1988 .

[6]  L. S. Shapley,et al.  17. A Value for n-Person Games , 1953 .

[7]  Lin Gao,et al.  Cooperative and competitive operator pricing for mobile crowdsourced internet access , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

[8]  Leandros Tassiulas,et al.  Incentive mechanisms for user-provided networks , 2014, IEEE Communications Magazine.

[9]  R. J. Aumann,et al.  Cooperative games with coalition structures , 1974 .

[10]  Mohammad Hadi Afrasiabi,et al.  Pricing strategies for user-provided connectivity services , 2012, 2012 Proceedings IEEE INFOCOM.

[11]  Vishal Misra,et al.  Internet Economics: The Use of Shapley Value for ISP Settlement , 2007, IEEE/ACM Transactions on Networking.

[12]  Leandros Tassiulas,et al.  Efficient and Fair Collaborative Mobile Internet Access , 2016, IEEE/ACM Transactions on Networking.

[13]  Leandros Tassiulas,et al.  Hybrid data pricing for network-assisted user-provided connectivity , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[14]  Vishal Misra,et al.  Internet economics: the use of Shapley value for ISP settlement , 2010, TNET.

[15]  Stratis Ioannidis,et al.  Incentivizing peer-assisted services: a fluid shapley value approach , 2010, SIGMETRICS '10.

[16]  Julien Freudiger,et al.  On Wireless Social Community Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[17]  Lin Gao,et al.  Incentive design and market evolution of mobile user-provided networks , 2015, 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[18]  A. Azzouz 2011 , 2020, City.

[19]  A. James 2010 , 2011, Philo of Alexandria: an Annotated Bibliography 2007-2016.

[20]  Yung Yi,et al.  On the Payoff Mechanisms in Peer-Assisted Services With Multiple Content Providers: Rationality and Fairness , 2011, IEEE/ACM Transactions on Networking.

[21]  S. M. García,et al.  2014: , 2020, A Party for Lazarus.

[22]  Vishal Misra,et al.  On Cooperative Settlement Between Content, Transit, and Eyeball Internet Service Providers , 2008, IEEE/ACM Transactions on Networking.

[23]  Leandros Tassiulas,et al.  Bits and coins: Supporting collaborative consumption of mobile internet , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[24]  Yung Yi,et al.  Traffic Scheduling and Revenue Distribution Among Providers in the Internet: Tradeoffs and Impacts , 2017, IEEE Journal on Selected Areas in Communications.

[25]  Luís M. B. Cabral On the adoption of innovations with 'network' externalities , 1990 .

[26]  Sung-Ju Lee,et al.  A Fog Operating System for User-Oriented IoT Services: Challenges and Research Directions , 2017, IEEE Communications Magazine.

[27]  Paolo Bellavista,et al.  Feasibility of Fog Computing Deployment based on Docker Containerization over RaspberryPi , 2017, ICDCN.