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: "primeball a parallel processing framework benchmark for big data applications in the cloud"
  Abstract: In this paper, we draw the specifications of a novel benchmark for comparing parallel processing frameworks in the context of big data applications hosted in the cloud. We aim at filling several gaps in already existing cloud data processing benchmarks, which lack a real-life context for their processes, thus losing relevance when trying to assess performance for real applications. Hence, we propose a fictitious news site hosted in the cloud that is to be managed by the framework under analysis, together with several objective use case scenarios and measures for evaluating system performance. The main strengths of our benchmark are parallelization capabilities supporting cloud features and big data properties.

Connected through hyperedge HE-1 (induced by source paper "benchmarking top k keyword and top k document processing with t2k2 and t2k2d2"):
  with members:
    - "a scalable document based architecture for text analysis"
    - "event detection tracking and visualization in twitter a mention anomaly based approach"
    - "benchmarking sentiment analysis methods for large scale texts a case for using continuum scored words and word shift graphs"
    - "bigdatabench a big data benchmark suite from internet services"

Connected through hyperedge HE-2 (induced by source paper "t 2 k 2 the twitter top k keywords benchmark"):
  with members:
    - "a scalable document based architecture for text analysis"
    - "event detection tracking and visualization in twitter a mention anomaly based approach"
    - "lshtc a benchmark for large scale text classification"
    - "benchmarking sentiment analysis methods for large scale texts a case for using continuum scored words and word shift graphs"
    - "data processing benchmarks"

Connected through hyperedge HE-3 (induced by source paper "data processing benchmarks"):
  with members:
    - "benchmarking oodbs with a generic tool"
    - "benchmarking data warehouses"

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)