human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "paxos made switch y"
  Abstract: This paper describes an implementation of the well-known consensus protocol, Paxos, in the P4 programming language. P4 is a language for programming the behavior of network forwarding devices (i.e., the network data plane). Moving consensus logic into network devices could significantly improve the performance of the core infrastructure and services in data centers. Moreover, implementing Paxos in P4 provides a critical use case and set of requirements for data plane language designers. In the long term, we imagine that consensus could someday be offered as a network service, just as point-to-point communication is provided today.

Connected through hyperedge HE-1 (induced by source paper "scaling distributed machine learning with in network aggregation"):
  with members:
    - "beyond data and model parallelism for deep neural networks"
    - "signsgd compressed optimisation for non convex problems"
    - "horovod fast and easy distributed deep learning in tensorflow"
    - "revisiting network support for rdma"
    - "in datacenter performance analysis of a tensor processing unit"
    - "deep gradient compression reducing the communication bandwidth for distributed training"
    - "mixed precision training"
    - "terngrad ternary gradients to reduce communication in distributed deep learning"

Connected through hyperedge HE-2 (induced by source paper "p4bft hardware accelerated byzantine resilient network control plane"):
  with members:
    - "bft protocols for heterogeneous resource allocations in distributed sdn control plane"
    - "morph an adaptive framework for efficient and byzantine fault tolerant sdn control plane"
    - "response time and availability study of raft consensus in distributed sdn control plane"

Connected through hyperedge HE-3 (induced by source paper "partitioned paxos via the network data plane"):
  with members:
    - "building global and scalable systems with atomic multicast"
    - "consensus on transaction commit"

Connected through hyperedge HE-4 (induced by source paper "in network neural networks"):
  with members:
    - "the case for learned index structures"
    - "bitwise neural networks"
    - "xnor net imagenet classification using binary convolutional neural networks"

Connected through hyperedge HE-5 (induced by source paper "streamchain do blockchains need blocks"):
  with members:
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "a byzantine fault tolerant ordering service for the hyperledger fabric blockchain platform"

Connected through hyperedge HE-6 (induced by source paper "p4k a formal semantics of p4 and applications"):
  with members:
    - "snap stateful network wide abstractions for packet processing"

Connected through hyperedge HE-7 (induced by source paper "network hardware accelerated consensus"):
  with members:
    - "building global and scalable systems with atomic multicast"
    - "merlin a language for provisioning network resources"
    - "rethinking state machine replication for parallelism"
    - "consensus on transaction commit"

Connected through hyperedge HE-8 (induced by source paper "optimistic aborts for geo distributed transactions"):
  with members:
    - "merlin a language for provisioning network resources"
    - "building on quicksand"

Question: Please tell me which class the center node 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.DC(Distributed, Parallel, and Cluster Computing)