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 "auction mechanisms in cloud fog computing resource allocation for public blockchain networks"):
  Abstract: As an emerging decentralized secure data management platform, blockchain has gained much popularity recently. To maintain a canonical state of blockchain data record, proof-of-work based consensus protocols provide the nodes, referred to as miners, in the network with incentives for confirming new block of transactions through a process of "block mining" by solving a cryptographic puzzle. Under the circumstance of limited local computing resources, e.g., mobile devices, it is natural for rational miners, i.e., consensus nodes, to offload computational tasks for proof of work to the cloud/fog computing servers. Therefore, we focus on the trading between the cloud/fog computing service provider and miners, and propose an auction-based market model for efficient computing resource allocation. In particular, we consider a proof-of-work based blockchain network. Due to the competition among miners in the blockchain network, the allocative externalities are particularly taken into account when designing the auction mechanisms. Specifically, we consider two bidding schemes: the constant-demand scheme where each miner bids for a fixed quantity of resources, and the multi-demand scheme where the miners can submit their preferable demands and bids. For the constant-demand bidding scheme, we propose an auction mechanism that achieves optimal social welfare. In the multi-demand bidding scheme, the social welfare maximization problem is NP-hard. Therefore, we design an approximate algorithm which guarantees the truthfulness, individual rationality and computational efficiency. Through extensive simulations, we show that our proposed auction mechanisms with the two bidding schemes can efficiently maximize the social welfare of the blockchain network and provide effective strategies for the cloud/fog computing service provider.

Includes members:
  Member "towards blockchain based auditable storage and sharing of iot data":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "iot expunge implementing verifiable retention of iot data")
  Member "performance analysis and application of mobile blockchain":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a survey on consensus mechanisms and mining strategy management in blockchain networks")
  Member "when mobile blockchain meets edge computing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a survey on consensus mechanisms and mining strategy management in blockchain networks")
  Member "optimal pricing based edge computing resource management in mobile blockchain":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "toward low cost and stable blockchain networks")
  Member "hardening stratum the bitcoin pool mining protocol":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey on consensus mechanisms and mining strategy management in blockchain networks")
  Member "social welfare maximization auction in edge computing resource allocation for mobile blockchain":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "toward low cost and stable blockchain networks")
  Member "toward hierarchical mobile edge computing an auction based profit maximization approach":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "all one needs to know about fog computing and related edge computing paradigms a complete survey")
  Member "optimal auction for edge computing resource management in mobile blockchain networks a deep learning approach":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a survey on consensus mechanisms and mining strategy management in blockchain networks")

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.GT(Computer Science and Game Theory)