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: "toward cloud based vehicular networks with efficient resource management"
  Abstract: In the era of Internet of Things, all components in intelligent transportation systems will be connected to improve transport safety, relieve traffic congestion, reduce air pollution and enhance the comfort of driving. The vision of all vehicles connected poses a significant challenge to the collection and storage of large amounts of traffic-related data. In this article, we propose to integrate cloud computing into vehicular networks such that the vehicles can share computation resources, storage resources and bandwidth resources. The proposed architecture includes a vehicular cloud, a roadside cloud, and a central cloud. Then, we study cloud resource allocation and virtual machine migration for effective resource management in this cloud-based vehicular network. A game-theoretical approach is presented to optimally allocate cloud resources. Virtual machine migration due to vehicle mobility is solved based on a resource reservation scheme.

Connected through hyperedge HE-1 (induced by source paper "mmwave system for future its a mac layer approach for v2x beam steering"):
  with members:
    - "beam alignment for millimetre wave links with motion prediction of autonomous vehicles"
    - "millimeter wave channel modeling and cellular capacity evaluation"

Connected through hyperedge HE-2 (induced by source paper "fuzzy ontology based sentiment analysis of transportation and city feature reviews for safe traveling"):
  with members:
    - "fuzzy ontology representation using owl 2"

Connected through hyperedge HE-3 (induced by source paper "smartphone based vehicle telematics a ten year anniversary"):
  with members:
    - "semmatch road semantics based accurate map matching for challenging positioning data"
    - "sensemycity crowdsourcing an urban sensor"
    - "smartloc sensing landmarks silently for smartphone based metropolitan localization"
    - "prediction expectation and surprise methods designs and study of a deployed traffic forecasting service"

Connected through hyperedge HE-4 (induced by source paper "reinforcement learning for resource provisioning in the vehicular cloud"):
  with members:
    - "nfv state of the art challenges and implementation in next generation mobile networks vepc"
    - "software defined networking state of the art and research challenges"
    - "resource allocation in a network based cloud computing environment design challenges"

Connected through hyperedge HE-5 (induced by source paper "security schemes in vehicular ad hoc networks with cognitive radios"):
  with members:
    - "communication systems for grid integration of renewable energy resources"

Connected through hyperedge HE-6 (induced by source paper "an smdp based resource management scheme for distributed cloud systems"):
  with members:
    - "evolution toward 5g multi tier cellular wireless networks an interference management perspective"

Connected through hyperedge HE-7 (induced by source paper "design of a scalable hybrid mac protocol for heterogeneous m2m networks"):
  with members:
    - "an efficient mac protocol with selective grouping and cooperative sensing in cognitive radio networks"

Connected through hyperedge HE-8 (induced by source paper "design implementation and simulation of a cloud computing system for enhancing real time video services by using vanet and onboard navigation systems"):
  with members:
    - "a synergistic approach for recovering occlusion free textured 3d maps of urban facades from heterogeneous cartographic data"

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.DC(Distributed, Parallel, and Cluster Computing)