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: "the end of a myth distributed transactions can scale"
  Abstract: The common wisdom is that distributed transactions do not scale. But what if distributed transactions could be made scalable using the next generation of networks and a redesign of distributed databases? There would be no need for developers anymore to worry about co-partitioning schemes to achieve decent performance. Application development would become easier as data placement would no longer determine how scalable an application is. Hardware provisioning would be simplified as the system administrator can expect a linear scale-out when adding more machines rather than some complex sub-linear function, which is highly application specific. #R##N#In this paper, we present the design of our novel scalable distributed database system NAM-DB and show that distributed transactions with the very common Snapshot Isolation guarantee can indeed scale using the next generation of RDMA-enabled network technology without any inherent bottlenecks. Our experiments with the TPC-C benchmark show that our system scales linearly to over 6.5 million distributed transactions per second on 56 machines.

Connected through hyperedge HE-1 (induced by source paper "hardware conscious stream processing a survey"):
  with members:
    - "briskstream scaling data stream processing on shared memory multicore architectures"
    - "streambox hbm stream analytics on high bandwidth hybrid memory"
    - "parallel index based stream join on a multicore cpu"
    - "join query optimization techniques for complex event processing applications"
    - "panjoin a partition based adaptive stream join"
    - "a survey of state management in big data processing systems"
    - "serverless computing current trends and open problems"
    - "ingestion indexing and retrieval of high velocity multidimensional sensor data on a single node"

Connected through hyperedge HE-2 (induced by source paper "a double edged sword security threats and opportunities in one sided network communication"):
  with members:
    - "obladi oblivious serializable transactions in the cloud"
    - "rowhammer js a remote software induced fault attack in javascript"
    - "privacy preserving group data access via stateless oblivious ram simulation"
    - "towards practical oblivious ram"
    - "privacy preserving access of outsourced data via oblivious ram simulation"

Connected through hyperedge HE-3 (induced by source paper "stretching the capacity of hardware transactional memory in ibm power architectures"):
  with members:
    - "serializable snapshot isolation in postgresql"
    - "a critique of ansi sql isolation levels"

Connected through hyperedge HE-4 (induced by source paper "effectively prefetching remote memory with leap"):
  with members:
    - "high speed query processing over high speed networks"

Connected through hyperedge HE-5 (induced by source paper "building atomic crash consistent data stores with disaggregated persistent memory"):
  with members:
    - "the end of slow networks it s time for a redesign"

Connected through hyperedge HE-6 (induced by source paper "datacenter rpcs can be general and fast"):
  with members:
    - "revisiting network support for rdma"
    - "the end of slow networks it s time for a redesign"

Connected through hyperedge HE-7 (induced by source paper "chiller contention centric transaction execution and data partitioning for fast networks"):
  with members:
    - "the end of slow networks it s time for a redesign"

Connected through hyperedge HE-8 (induced by source paper "an efficient framework for implementing persist data structures on remote nvm"):
  with members:
    - "minuet a scalable distributed multiversion b tree"

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.DB(Databases)