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 distributed stream processing engines"
  Abstract: Over the last years, stream data processing has been gaining attention both in industry and in academia due to its wide range of applications. To fulfill the need for scalable and efficient stream analytics, numerous open source stream data processing systems (SDPSs) have been developed, with high throughput and low latency being their key performance targets. In this paper, we propose a framework to evaluate the performance of three SDPSs, namely Apache Storm, Apache Spark, and Apache Flink. Our evaluation focuses in particular on measuring the throughput and latency of windowed operations. For this benchmark, we design workloads based on real-life, industrial use-cases. The main contribution of this work is threefold. First, we give a definition of latency and throughput for stateful operators. Second, we completely separate the system under test and driver, so that the measurement results are closer to actual system performance under real conditions. Third, we build the first driver to test the actual sustainable performance of a system under test. Our detailed evaluation highlights that there is no single winner, but rather, each system excels in individual use-cases.

Connected through hyperedge HE-1 (induced by source paper "wikilinkgraphs a complete longitudinal and multi language dataset of the wikipedia link networks"):
  with members:
    - "growing wikipedia across languages via recommendation"
    - "mining missing hyperlinks from human navigation traces a case study of wikipedia"
    - "societal controversies in wikipedia articles"
    - "interactions of cultures and top people of wikipedia from ranking of 24 language editions"
    - "biographical social networks on wikipedia a cross cultural study of links that made history"
    - "ranking of wikipedia articles in search engines revisited fair ranking for reasonable quality"
    - "pagerank standing on the shoulders of giants"

Connected through hyperedge HE-2 (induced by source paper "performance characterization and modeling of serverless and hpc streaming applications"):
  with members:
    - "cloud programming simplified a berkeley view on serverless computing"
    - "numpywren serverless linear algebra"
    - "occupy the cloud distributed computing for the 99"
    - "serverless computing current trends and open problems"
    - "status of serverless computing and function as a service faas in industry and research"

Connected through hyperedge HE-3 (induced by source paper "sense scalable data acquisition from distributed sensors with guaranteed time coherence"):
  with members:
    - "consistent streaming through time a vision for event stream processing"
    - "medians and beyond new aggregation techniques for sensor networks"

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)