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: "streaming big data meets backpressure in distributed network computation"
  Abstract: We study network response to a stream of queries that require computations on remotely located data, and we seek to characterize the network performance limits in terms of maximum sustainable query rate that can be satisfied. The available network setup consists of (i) a communication network graph with finite-bandwidth links over which data is routed, (ii) computation nodes with certain computation capacity, over which computation load is balanced, and (iii) network nodes that need to schedule raw and processed data transmissions. Our aim is to design a universal methodology and distributed algorithm to adaptively allocate resources in order to support maximum query rate. The proposed algorithms extend in a nontrivial way the backpressure (BP) algorithm to take into account computations carried out in the presence of query streams. They contribute to the fundamental understanding of network computation performance limits when the query rate is limited by both the communication bandwidth and the computation capacity, a classical setting that arises in streaming big data applications in network clouds and fogs.

Connected through hyperedge HE-1 (induced by source paper "big data meet cyber physical systems a panoramic survey"):
  with members:
    - "information and communications technologies for sustainable development goals state of the art needs and perspectives"
    - "improving the coverage and spectral efficiency of millimeter wave cellular networks using device to device relays"
    - "developing an edge computing platform for real time descriptive analytics"
    - "security and privacy aspects in mapreduce on clouds a survey"
    - "wireless device to device caching networks basic principles and system performance"
    - "social computing for mobile big data"
    - "big data caching for networking moving from cloud to edge"
    - "online visual analytics of text streams"

Connected through hyperedge HE-2 (induced by source paper "dynamic cloud network control under reconfiguration delay and cost"):
  with members:
    - "optimal dynamic cloud network control"
    - "throughput optimal scheduling for multi hop networked transportation systems with switch over delay"
    - "optimal control of wireless computing networks"
    - "service function chaining resource allocation a survey"
    - "power consumption of virtualization technologies an empirical investigation"
    - "adaptive policies for scheduling with reconfiguration delay an end to end solution for all optical data centers"

Connected through hyperedge HE-3 (induced by source paper "optimal control of distributed computing networks with mixed cast traffic flows"):
  with members:
    - "multi commodity flow with in network processing"
    - "optimal dynamic cloud network control"
    - "on orchestrating virtual network functions in nfv"

Connected through hyperedge HE-4 (induced by source paper "optimal dynamic cloud network control"):
  with members:
    - "a survey and evaluation of data center network topologies"

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)