human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "optimal two sided market mechanism design for large scale data sharing and trading in massive iot networks"):
  Abstract: The development of the Internet of Things (IoT) generates a significant amount of data that contains valuable knowledge for system operations and business opportunities. Since the data is the property of the IoT data owners, the access of the data requires the permission from the data owners, which gives rises to a potential market opportunity for the IoT data sharing and trading to create economic values and market opportunities for both data owners and consumers. In this work, we leverage optimal mechanism design theory to develop a monopolist matching platform for data trading over massive IoT networks. The proposed mechanism is composed of a pair of matching and payment rules for each side of the market to optimize the payoffs under welfare-maximization and the profit maximization schemes. We characterize the optimal mechanism with a class of threshold matching rules under welfare and profit-maximization and study three matching behaviors including separating, bottom pooling, and top pooling. We use HealthyGo as a case study to illustrate the optimal threshold matching rules and corroborate the analytical results.

Includes members:
  Member "adaptive and resilient revenue maximizing dynamic resource allocation and pricing for cloud enabled iot systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "joint dynamic pricing and radio resource allocation framework for iot services")
  Member "sensing as a service s2aas buying and selling iot data":
    also connected through other hyperedges:
      (none)
  Member "the emerging internet of things marketplace from an industrial perspective a survey":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "minimizing the age of information of cognitive radio based iot systems under a collision constraint")
  Member "sensing as a service model for smart cities supported by internet of things":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "fog computing applications taxonomy and requirements")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DB(Databases)