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 "a comprehensive survey on parallelization and elasticity in stream processing"):
  Abstract: Stream Processing (SP) has evolved as the leading paradigm to process and gain value from the high volume of streaming data produced e.g. in the domain of the Internet of Things. An SP system is a middleware that deploys a network of operators between data sources, such as sensors, and the consuming applications. SP systems typically face intense and highly dynamic data streams. Parallelization and elasticity enables SP systems to process these streams with continuously high quality of service. The current research landscape provides a broad spectrum of methods for parallelization and elasticity in SP. Each method makes specific assumptions and focuses on particular aspects of the problem. However, the literature lacks a comprehensive overview and categorization of the state of the art in SP parallelization and elasticity, which is necessary to consolidate the state of the research and to plan future research directions on this basis. Therefore, in this survey, we study the literature and develop a classification of current methods for both parallelization and elasticity in SP systems.

Includes members:
  Member "p4cep towards in network complex event processing":
    also connected through other hyperedges:
      (none)
  Member "toward reliable and rapid elasticity for streaming dataflows on clouds":
    also connected through other hyperedges:
      (none)
  Member "minimizing communication overhead in window based parallel complex event processing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "espice probabilistic load shedding from input event streams in complex event processing")
  Member "event forecasting with pattern markov chains":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the complex event recognition group")
  Member "distributed data stream processing and edge computing a survey on resource elasticity and future directions":
    also connected through other hyperedges:
      (none)
  Member "spectre supporting consumption policies in window based parallel complex event processing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "pspice partial match shedding for complex event processing")
  Member "integrative dynamic reconfiguration in a parallel stream processing engine":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "toward reliable and rapid elasticity for streaming dataflows on clouds")
  Member "when two choices are not enough balancing at scale in distributed stream processing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "swarm adaptive load balancing in distributed streaming systems for big spatial data")

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.DC(Distributed, Parallel, and Cluster Computing)