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: "a cloud based mobile biometric authentication framework"
  Abstract: The exponential growth of enrollment in the biometric system produces massive amount of high dimensionality data that leads to the degradation of performance of the system. Also different kind of issues pops up in handling such huge data sets. Therefore in order to overcome the performance issues arising due to this data deluge we aim to implement this system in a distributed manner on a high performance cluster cloud. High availability and scalability are some of the added advantages of using this approach. In this paper we propose a mobile biometric system that uses dynamic signatures and performs authentication on the go. This framework includes steps involving data capture using any handheld mobile device, then storage, preprocessing and training in a distributed manner overcloud. Moreover, the methodology adopted by us is very novel as it provides better time efficiency and scalability. We have systematically designed and conducted experiments to evaluate the proposed framework on dynamic signature datasets recorded in real time. The experiments demonstrate that better performance was achieved by our proposed framework as compared to the other methods used in recent literature.

Connected through hyperedge HE-1 (induced by source paper "bamhealthcloud a biometric authentication and data management system for healthcare data in cloud"):
  with members:
    - "recent developments in cloud based systems state of art"
    - "adapting resilient propagation for deep learning"
    - "an nbdmmm algorithm based framework for allocation of resources in cloud"

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)