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: "incorporating tsn bls in afdx for mixed criticality avionics applications specification and analysis"
  Abstract: In this paper, we propose an extension of the AFDX standard, incorporating a TSN/BLS shaper, to homogenize the avionics communication architecture, and enable the interconnection of different avionics domains with mixed-criticality levels, e.g., legacy AFDX traffic, Flight Control and In-Flight Entertainment. First, we present the main specifications of such a proposed solution. Then, we detail the corresponding worst-case timing analysis, using the Network Calculus framework, to infer real-time guarantees. Finally, we conduct the performance analysis of such a proposal on a realistic AFDX configuration. Results show the efficiency of the Extended AFDX standard to noticeably enhance the medium priority level delay bounds, while respecting the higher priority level constraints, in comparison with the legacy AFDX standard.

Connected through hyperedge HE-1 (induced by source paper "ultra low latency ull networks the ieee tsn and ietf detnet standards and related 5g ull research"):
  with members:
    - "a basic result on the superposition of arrival processes in deterministic networks"
    - "end to end simulation of 5g mmwave networks"
    - "information and communications technologies for sustainable development goals state of the art needs and perspectives"
    - "5g fronthaul latency and jitter studies of cpri over ethernet"
    - "r fft function split at ifft fft in unified lte cran and cable access network"
    - "towards 5g enabled tactile robotic telesurgery"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"
    - "formal scheduling constraints for time sensitive networks"

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)