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 "scaling blockchain databases through parallel resilient consensus paradigm"):
  Abstract: The recent surge in blockchain applications and database systems has renewed the interest in traditional Byzantine Fault Tolerant consensus protocols (BFT). Several such BFT protocols follow a primary-backup design, in which a primary} replica coordinates the consensus protocol. In primary-backup designs, the normal-case operations are rather simple. At the same time, primary-backup designs place an unreasonable burden on primaries and allows malicious primaries to affect the system throughput substantially, however. To resolve this situation, we propose the MultiBFT paradigm, a protocol-agnostic approach towards improving the performance of primary-backup consensus protocols. At the core of MultiBFT is an approach to continuously order the client-transactions by running several instances of the underlying BFT protocol in parallel. We bring forth our paradigm to two well-established BFT protocols and demonstrate that the rendered parallelized protocols are not only safe and live but also significantly outperform, up to $2\times$, their original non-parallelized forms. Further, we show that our MultiBFT paradigm reaches a throughput of up to $320$K transactions per second.

Includes members:
  Member "blockchain meets database design and implementation of a blockchain relational database":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "trends in development of databases and blockchain")
  Member "mir bft high throughput bft for blockchains":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the sum of its parts analysis of federated byzantine agreement systems")
  Member "vchain enabling verifiable boolean range queries over blockchain databases":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "trends in development of databases and blockchain")
  Member "towards scaling blockchain systems via sharding":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "effective scaling of blockchain beyond consensus innovations and moore s law")
  Member "scaling nakamoto consensus to thousands of transactions per second":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "surface a practical blockchain consensus algorithm for real world networks")
  Member "blockbench a framework for analyzing private blockchains":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "effective scaling of blockchain beyond consensus innovations and moore s law")
  Member "revisiting fast practical byzantine fault tolerance":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "que sera consensus simple asynchronous agreement with private coins and threshold logical clocks")

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)