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: "probabilistic qos aware placement of vnf chains at the edge"
  Abstract: Network Function Virtualisation and Software Defined Networking are innovating the way network services are provisioned, by introducing a level of flexibility that is key for coping with requirements of complex traffic patterns in modern networking systems, such as the Internet of Things (IoT). Network services may be provisioned to cope with IoT traffic requirements by deploying Virtual Network Functions (VNFs) chains over virtualised infrastructures. The availability of Edge resources may be exploited to cope with IoT traffic latency and bandwidth requirements but, on the other hand, it may introduce variations in the available infrastructure. In this paper, we present a declarative solution, EdgeUsher, to the problem of how to best place VNF chains onto Cloud-Edge infrastructures. EdgeUsher prototype can determine all eligible placements for a set of VNF chains onto an Edge infrastructure so to satisfy all the hardware, IoT, security, bandwidth, and latency requirements associated with the input VNF chains. It exploits probability distributions to model the dynamic behaviour of Edge infrastructures, and it correspondingly ranks the set of valid placements according to such probabilities. EdgeUsher also returns, for each placement, the set of function-to-function paths that can be exploited to route traffic flows through the deployed chain.

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)