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 "sharper sharding permissioned blockchains over network clusters"):
  Abstract: Scalability is one of the main roadblocks to business adoption of blockchain systems. Despite recent intensive research on using sharding techniques to enhance the scalability of blockchain systems, existing solutions do not efficiently address cross-shard transactions. In this paper, we introduce SharPer, a permissioned blockchain system that enhances the scalability of blockchain systems by clustering (partitioning) the nodes and assigning different data shards to different clusters. SharPer supports both intra-shard and cross-shard transactions and processes intra-shard transactions of different clusters as well as cross-shard transactions with non-overlapping clusters simultaneously. In SharPer, the blockchain ledger is formed as a directed acyclic graph where each cluster maintains only a view of the ledger. SharPer also incorporates a flattened protocol to establish consensus among clusters on the order of cross-shard transactions. The experimental results reveal the efficiency of SharPer in terms of performance and scalability especially in workloads with a low percentage of cross-shard transactions (typical settings in partitioned databases).

Includes members:
  Member "resilientdb global scale resilient blockchain fabric":
    also connected through other hyperedges:
      (none)
  Member "parblockchain leveraging transaction parallelism in permissioned blockchain systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fides managing data on untrusted infrastructure")
  Member "fastfabric scaling hyperledger fabric to 20 000 transactions per second":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "xox fabric a hybrid approach to blockchain transaction execution")
  Member "topological analysis of bitcoin s lightning network":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "hushrelay a privacy preserving efficient and scalable routing algorithm for off chain payments")
  Member "scaling blockchain databases through parallel resilient consensus paradigm":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "permissioned blockchain through the looking glass architectural and implementation lessons learned")
  Member "seemore a fault tolerant protocol for hybrid cloud environments":
    also connected through other hyperedges:
      (none)
  Member "streamchain do blockchains need blocks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "pnyxdb a lightweight leaderless democratic byzantine fault tolerant replicated datastore")
  Member "hyperledger fabric a distributed operating system for permissioned blockchains":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "tenderbake classical bft style consensus for public blockchains")

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)