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: "nfv state of the art challenges and implementation in next generation mobile networks vepc"
  Abstract: As mobile network users look forward to the connectivity speeds of 5G networks, service providers are facing challenges in complying with connectivity demands without substantial financial investments. Network function virtualization (NFV) is introduced as a new methodology that offers a way out of this bottleneck. NFV is poised to change the core structure of telecommunications infrastructure to be more cost-efficient. In this article, we introduce an NFV framework, and discuss the challenges and requirements of its use in mobile networks. In particular, an NFV framework in the virtual environment is proposed. Moreover, in order to reduce signaling traffic and achieve better performance, this article proposes a criterion to bundle multiple functions of a virtualized evolved packet core in a single physical device or a group of adjacent devices. The analysis shows that the proposed grouping can reduce the network control traffic by 70 percent.

Connected through hyperedge HE-1 (induced by source paper "a survey of big data machine learning applications optimization in cloud data centers and networks"):
  with members:
    - "fog assisted caching employing solar renewable energy for delivering video on demand service"
    - "energy efficient and resilient infrastructure for fog computing health monitoring applications"
    - "virtual machines embedding for cloud pon awgr and server based data centres"
    - "a survey on geographically distributed big data processing using mapreduce"
    - "disaggregation for improved efficiency in fog computing era"
    - "experimental evaluation of server centric passive optical network based data centre architecture"
    - "energy efficient distributed processing in vehicular cloud architecture"
    - "energy efficient software matching in vehicular fog"

Connected through hyperedge HE-2 (induced by source paper "a survey on edge computing systems and tools"):
  with members:
    - "openei an open framework for edge intelligence"
    - "pcamp performance comparison of machine learning packages on the edges"
    - "a survey of fpga based deep learning accelerators challenges and opportunities"
    - "a survey on mobile edge computing the communication perspective"
    - "distributed deep neural networks over the cloud the edge and end devices"
    - "tensorflow a system for large scale machine learning"
    - "fog data enhancing telehealth big data through fog computing"
    - "mxnet a flexible and efficient machine learning library for heterogeneous distributed systems"

Connected through hyperedge HE-3 (induced by source paper "automated attack and defense framework for 5g security on physical and logical layers"):
  with members:
    - "a survey of physical layer security techniques for 5g wireless networks and challenges ahead"

Connected through hyperedge HE-4 (induced by source paper "rvh range vector hash for fast online packet classification"):
  with members:
    - "tight bounds for parallel randomized load balancing"

Connected through hyperedge HE-5 (induced by source paper "a survey of fog computing and communication current researches and future directions"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "coding for distributed fog computing"
    - "the fog makes sense enabling social sensing services with limited internet connectivity"
    - "wireless caching technical misconceptions and business barriers"
    - "ifogsim a toolkit for modeling and simulation of resource management techniques in internet of things edge and fog computing environments"
    - "fog computing based radio access networks issues and challenges"
    - "the price of fog a data driven study on caching architectures in vehicular networks"

Connected through hyperedge HE-6 (induced by source paper "ebpf based content and computation aware communication for real time edge computing"):
  with members:
    - "stochastic joint radio and computational resource management for multi user mobile edge computing systems"
    - "content based interference management for video transmission in d2d communications underlaying lte"
    - "energy efficient resource allocation for mobile edge computing based augmented reality applications"
    - "integrated resource management in software defined networking caching and computing"
    - "content based cognitive interference control for city monitoring applications in the urban iot"

Connected through hyperedge HE-7 (induced by source paper "optimal placement of baseband functions for energy harvesting virtual small cells"):
  with members:
    - "online ski rental for on off scheduling of energy harvesting base stations"
    - "heterogeneous cloud radio access networks a new perspective for enhancing spectral and energy efficiencies"
    - "solarstat modeling photovoltaic sources through stochastic markov processes"

Connected through hyperedge HE-8 (induced by source paper "a survey on low latency towards 5g ran core network and caching solutions"):
  with members:
    - "stochastic optimization and control framework for 5g network slicing with effective isolation"
    - "ultra reliable and low latency communications in 5g downlink physical layer aspects"
    - "human in the loop wireless communications machine learning and brain aware resource management"
    - "r fft function split at ifft fft in unified lte cran and cable access network"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "joint user association power control and scheduling in multi cell 5g networks"
    - "fundamental limits on latency in transceiver cache aided hetnets"
    - "decentralized coded caching in wireless networks trade off between storage and latency"

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)