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: "alloctc sharing a new bandwidth allocation model for ds te networks"
  Abstract: DiffServ-aware MPLS-TE (DS-TE) allows bandwidth reservation for Traffic Classes (TCs) in MPLS-based engineered networks and, as such, improves the basic MPLS-TE model. In DS-TE networks, per-Class quality of service guarantees are provided while being possible to achieve improved network utilization. DS-TE requires the use of a Bandwidth Allocation Model (BAM) that establishes the amount of bandwidth per-Class and any eventual sharing among them. This paper proposes a new bandwidth allocation model (AllocTC-Sharing) in which the higher priority traffic classes are allowed to use non allocated resources of lower priority traffic classes and vice versa. By adopting this “dual sense” allocation strategy for dynamic bandwidth allocation, it is shown that AllocTC-Sharing model preserves bandwidth constraints for traffic classes and improves overall link utilization.

Connected through hyperedge HE-1 (induced by source paper "a pub sub sdn integrated framework for iot traffic orchestration"):
  with members:
    - "a publish subscribe qos aware framework for massive iot traffic orchestration"
    - "g bam a generalized bandwidth allocation model for ip mpls ds te networks"
    - "evolving sdn for low power iot networks"
    - "foggy a platform for workload orchestration in a fog computing environment"
    - "a hybrid approach for data analytics for internet of things"
    - "city data fusion sensor data fusion in the internet of things"
    - "software defined networking a comprehensive survey"

Connected through hyperedge HE-2 (induced by source paper "cognitive management of bandwidth allocation models with case based reasoning evidences towards dynamic bam reconfiguration"):
  with members:
    - "evaluating cbr similarity functions for bam switching in networks with dynamic traffic profile"
    - "a publish subscribe qos aware framework for massive iot traffic orchestration"
    - "g bam a generalized bandwidth allocation model for ip mpls ds te networks"
    - "evaluating the applicability of bandwidth allocation models for eon slot allocation"

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)