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: "benchmarking oodbs with a generic tool"
  Abstract: We present in this paper a generic object-oriented benchmark (OCB: the Object Clustering Benchmark) that has been designed to evaluate the performances of Object-Oriented Data-bases (OODBs), and more specifically the performances of clustering policies within OODBs. OCB is generic because its sample database may be customized to fit any of the databases in-troduced by the main existing benchmarks, e.g., OO1 (Object Operation 1) or OO7. The first version of OCB was purposely clustering-oriented due to a clustering-oriented workload, but OCB has been thoroughly extended to be able to suit other purposes. Eventually, OCB's code is compact and easily portable. OCB has been validated through two implementations: one within the O2 OODB and another one within the Texas persistent object store. The perfor-mances of a specific clustering policy called DSTC (Dynamic, Statistical, Tunable Clustering) have also been evaluated with OCB.

Connected through hyperedge HE-1 (induced by source paper "data processing benchmarks"):
  with members:
    - "primeball a parallel processing framework benchmark for big data applications in the cloud"
    - "benchmarking data warehouses"

Connected through hyperedge HE-2 (induced by source paper "data warehouse benchmarking with dweb"):
  with members:
    - "benchmarking data warehouses"

Connected through hyperedge HE-3 (induced by source paper "doef a dynamic object evaluation framework"):
  with members:
    - "dynamic clustering in object oriented databases an advocacy for simplicity"
    - "voodb a generic discrete event random simulation model to evaluate the performances of oodbs"

Connected through hyperedge HE-4 (induced by source paper "benchmarking data warehouses"):
  with members:
    - "an architecture framework for complex data warehouses"
    - "dweb a data warehouse engineering benchmark"

Connected through hyperedge HE-5 (induced by source paper "evaluating the dynamic behavior of database applications"):
  with members:
    - "dynamic clustering in object oriented databases an advocacy for simplicity"
    - "doef a dynamic object evaluation framework"
    - "ocb a generic benchmark to evaluate the performances of object oriented database systems"
    - "voodb a generic discrete event random simulation model to evaluate the performances of oodbs"

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.DB(Databases)