human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "hardware conscious stream processing a survey"):
  Abstract: Data stream processing systems (DSPSs) enable users to express and run stream applications to continuously process data streams. To achieve real-time data analytics, recent researches keep focusing on optimizing the system latency and throughput. Witnessing the recent great achievements in the computer architecture community, researchers and practitioners have investigated the potential of adoption hardware-conscious stream processing by better utilizing modern hardware capacity in DSPSs. In this paper, we conduct a systematic survey of recent work in the field, particularly along with the following three directions: 1) computation optimization, 2) stream I/O optimization, and 3) query deployment. Finally, we advise on potential future research directions.

Includes members:
  Member "briskstream scaling data stream processing on shared memory multicore architectures":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "towards concurrent stateful stream processing on multicore processors technical report")
  Member "streambox hbm stream analytics on high bandwidth hybrid memory":
    also connected through other hyperedges:
      (none)
  Member "parallel index based stream join on a multicore cpu":
    also connected through other hyperedges:
      (none)
  Member "join query optimization techniques for complex event processing applications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "efficient adaptive detection of complex event patterns")
  Member "panjoin a partition based adaptive stream join":
    also connected through other hyperedges:
      (none)
  Member "a survey of state management in big data processing systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "aion better late than never in event time streams")
  Member "serverless computing current trends and open problems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "serverless straggler mitigation using local error correcting codes")
  Member "ingestion indexing and retrieval of high velocity multidimensional sensor data on a single node":
    also connected through other hyperedges:
      (none)

Question: Please tell me which class the source paper 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)