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: "consistent streaming through time a vision for event stream processing"
  Abstract: Event processing will play an increasingly important role in constructing enterprise applications that can immediately react to business critical events. Various technologies have been proposed in recent years, such as event processing, data streams and asynchronous messaging (e.g. pub/sub). We believe these technologies share a common processing model and differ only in target workload, including query language features and consistency requirements. We argue that integrating these technologies is the next step in a natural progression. In this paper, we present an overview and discuss the foundations of CEDR, an event streaming system that embraces a temporal stream model to unify and further enrich query language features, handle imperfections in event delivery and define correctness guarantees. We describe specific contributions made so far and outline next steps in developing the CEDR system.

Connected through hyperedge HE-1 (induced by source paper "modeling events and events of events in software engineering"):
  with members:
    - "thing machine s thimacs applied to structural description in software engineering"
    - "thinging as a way of modeling in poiesis applications in software engineering"
    - "toward maximum grip process modeling in software engineering"
    - "thinging vs objectfying in software engineering"
    - "thinging for software engineers"

Connected through hyperedge HE-2 (induced by source paper "sense scalable data acquisition from distributed sensors with guaranteed time coherence"):
  with members:
    - "benchmarking distributed stream processing engines"
    - "medians and beyond new aggregation techniques for sensor networks"

Connected through hyperedge HE-3 (induced by source paper "efficient adaptive detection of complex event patterns"):
  with members:
    - "join query optimization techniques for complex event processing applications"
    - "efficient detection of complex event patterns using lazy chain automata"
    - "enabling incremental query re optimization"

Connected through hyperedge HE-4 (induced by source paper "join query optimization techniques for complex event processing applications"):
  with members:
    - "efficient adaptive detection of complex event patterns"
    - "efficient detection of complex event patterns using lazy chain automata"

Connected through hyperedge HE-5 (induced by source paper "foundations of complex event processing"):
  with members:
    - "on load shedding in complex event processing"

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)