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 "proof of execution reaching consensus through fault tolerant speculation"):
  Abstract: Since the introduction of blockchains, several new database systems and applications have tried to employ them. At the core of such blockchain designs are Byzantine Fault-Tolerant (BFT) consensus protocols that enable designing systems that are resilient to failures and malicious behavior. Unfortunately, existing BFT protocols seem unsuitable for usage in database systems due to their high computational costs, high communication costs, high client latencies, and/or reliance on trusted components and clients. #R##N#In this paper, we present the Proof-of-Execution consensus protocol (PoE) that alleviates these challenges. At the core of PoE are out-of-order processing and speculative execution, which allow PoE to execute transactions before consensus is reached among the replicas. With these techniques, PoE manages to reduce the costs of BFT in normal cases, while still providing reliable consensus toward clients in all cases. #R##N#We envision the use of PoE in high-performance resilient database systems. To validate this vision, we implement PoE in our efficient ResilientDB blockchain and database framework. ResilientDB helps us to implement and evaluate PoE against several state-of-the-art BFT protocols. Our evaluation shows that PoE achieves up to $86\%$ more throughput than existing BFT protocols.

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 "vchain enabling verifiable boolean range queries over blockchain databases":
    also connected through other hyperedges:
      - Hyperedge HE-2 (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-3 (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-4 (induced by source paper "surface a practical blockchain consensus algorithm for real world networks")
  Member "the gap game":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "incentive analysis of bitcoin ng revisited")
  Member "proof of work without all the work":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "resource competitive sybil defenses")
  Member "blockbench a framework for analyzing private blockchains":
    also connected through other hyperedges:
      - Hyperedge HE-7 (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-8 (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)