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: "understand your chains towards performance profile based network service management"
  Abstract: Allocating resources to virtualized network functions and services to meet service level agreements is a challenging task for NFV management and orchestration systems. This becomes even more challenging when agile development methodologies, like DevOps, are applied. In such scenarios, management and orchestration systems are continuously facing new versions of functions and services which makes it hard to decide how much resources have to be allocated to them to provide the expected service performance. One solution for this problem is to support resource allocation decisions with performance behavior information obtained by profiling techniques applied to such network functions and services. #R##N#In this position paper, we analyze and discuss the components needed to generate such performance behavior information within the NFV DevOps workflow. We also outline research questions that identify open issues and missing pieces for a fully integrated NFV profiling solution. Further, we introduce a novel profiling mechanism that is able to profile virtualized network functions and entire network service chains under different resource constraints before they are deployed on production infrastructure.

Connected through hyperedge HE-1 (induced by source paper "network service orchestration a survey"):
  with members:
    - "research challenges in nextgen service orchestration"
    - "network slicing for 5g with sdn nfv concepts architectures and challenges"
    - "sonata service programming and orchestration for virtualized software networks"
    - "network function virtualization state of the art and research challenges"
    - "software defined optical networks sdons a comprehensive survey"
    - "survey of promising technologies for 5g networks"
    - "software defined networking a comprehensive survey"
    - "internet of things iot a vision architectural elements and future directions"

Connected through hyperedge HE-2 (induced by source paper "the softwarised network data zoo"):
  with members:
    - "jasper joint optimization of scaling placement and routing of virtual network services"
    - "machine learning for networking workflow advances and opportunities"
    - "unsupervised machine learning for networking techniques applications and research challenges"
    - "medicine rapid prototyping of production ready network services in multi pop environments"

Connected through hyperedge HE-3 (induced by source paper "profile based resource allocation for virtualized network functions"):
  with members:
    - "introducing development features for virtualized network services"
    - "analytical modeling for virtualized network functions"
    - "patterns in the chaos a study of performance variation and predictability in public iaas clouds"

Connected through hyperedge HE-4 (induced by source paper "jasper joint optimization of scaling placement and routing of virtual network services"):
  with members:
    - "sonata service programming and orchestration for virtualized software networks"
    - "online vnf scaling in datacenters"

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)