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 "load balancing for skewed streams on heterogeneous clusters"):
  Abstract: Streaming applications frequently encounter skewed workloads and execute on heterogeneous clusters. Optimal re- source utilization in such adverse conditions becomes a challenge, as it requires inf ...

Includes members:
  Member "consistent hashing with bounded loads":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a proof of useful work for artificial intelligence on the blockchain")
  Member "partial key grouping load balanced partitioning of distributed streams":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "when two choices are not enough balancing at scale in distributed stream processing")
  Member "effective techniques for message reduction and load balancing in distributed graph computation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "graph3s a simple speedy and scalable distributed graph processing system")
  Member "when two choices are not enough balancing at scale in distributed stream processing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "swarm adaptive load balancing in distributed streaming systems for big spatial data")
  Member "the power of both choices practical load balancing for distributed stream processing engines":
    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)