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: "distributed and collaborative traffic monitoring in software defined networks"
  Abstract: Network traffic monitoring supports fundamental network management tasks. However, monitoring tasks introduce non-trivial overhead to network devices such as switches. We propose a Distributed and Collaborative Monitoring system, named DCM, with the following properties. First, DCM allows switches to collaboratively achieve flow monitoring tasks and balance measurement load. Second, DCM is able to perform per-flow monitoring, by which different groups of flows are monitored using different actions. Third, DCM is a memory-efficient solution for switch data plane and guarantees system scalability. DCM uses novel two-stage Bloom filters to represent monitoring rules using small memory space. It utilizes the centralized SDN control to install, update, and reconstruct the two-stage Bloom filters in the switch data plane. We study how DCM performs two representative monitoring tasks, namely flow size counting and packet sampling, and evaluate its performance. Experiments using real data center and ISP traffic data on real network topologies show that DCM achieves highest measurement accuracy among existing solutions given the same memory budget of switches.

Connected through hyperedge HE-1 (induced by source paper "detecting heavy flows in the sdn match and action model"):
  with members:
    - "heavy hitter detection entirely in the data plane"

Connected through hyperedge HE-2 (induced by source paper "cemon a cost effective flow monitoring system in software defined networks"):
  with members:
    - "flowcover low cost flow monitoring scheme in software defined networks"

Connected through hyperedge HE-3 (induced by source paper "software defined networking a comprehensive survey"):
  with members:
    - "splitarchitecture sdn for the carrier domain"
    - "split architecture for large scale wide area networks"
    - "tinynbi distilling an api from essential openflow abstractions"
    - "emerging technologies and research challenges for 5g wireless networks"
    - "oshi open source hybrid ip sdn networking and its emulation on mininet and on distributed sdn testbeds"
    - "controlling a software defined network via distributed controllers"
    - "streamon a data plane programming abstraction for software defined stream monitoring"
    - "research directions in network service chaining"

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.NI(Networking and Internet Architecture)