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: "characterizing and adapting the consistency latency tradeoff in distributed key value stores"
  Abstract: The CAP theorem is a fundamental result that applies to distributed storage systems. In this paper, we first present and prove two CAP-like impossibility theorems. To state these theorems, we present probabilistic models to characterize the three important elements of the CAP theorem: consistency (C), availability or latency (A), and partition tolerance (P). The theorems show the un-achievable envelope, i.e., which combinations of the parameters of the three models make them impossible to achieve together. Next, we present the design of a class of systems called PCAP that perform close to the envelope described by our theorems. In addition, these systems allow applications running on a single data-center to specify either a latency SLA or a consistency SLA. The PCAP systems automatically adapt, in real-time and under changing network conditions, to meet the SLA while optimizing the other C/A metric. We incorporate PCAP into two popular key-value stores -- Apache Cassandra and Riak. Our experiments with these two deployments, under realistic workloads, reveal that the PCAP system satisfactorily meets SLAs, and performs close to the achievable envelope. We also extend PCAP from a single data-center to multiple geo-distributed data-centers.

Connected through hyperedge HE-1 (induced by source paper "consistency analysis of replication based probabilistic key value stores"):
  with members:
    - "probabilistically bounded staleness for practical partial quorums"

Connected through hyperedge HE-2 (induced by source paper "minimizing content staleness in dynamo style replicated storage systems"):
  with members:
    - "the power of waiting for more than one response in minimizing the age of information"
    - "timely updates over an erasure channel"
    - "status updates through m g 1 1 queues with harq"
    - "minimizing the age of the information through queues"
    - "update or wait how to keep your data fresh"
    - "probabilistically bounded staleness for practical partial quorums"

Connected through hyperedge HE-3 (induced by source paper "causal consistency and latency optimality friend or foe"):
  with members:
    - "unobtrusive deferred update stabilization for efficient geo replication"
    - "consistency in non transactional distributed storage systems"

Connected through hyperedge HE-4 (induced by source paper "dockerization impacts in database performance benchmarking"):
  with members:
    - "plug and play bench simplifying big data benchmarking using containers"
    - "container based cloud virtual machine benchmarking"

Connected through hyperedge HE-5 (induced by source paper "continuous partial quorums for consistency latency tuning in distributed nosql storage systems"):
  with members:
    - "probabilistically bounded staleness for practical partial quorums"

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)