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 primarily survey on energy efficiency in cloud and distributed computing systems"):
  Abstract: several sensors extract data from the environment concurrently, transmit these data to a processing unit and receive processed data accompanied by appropriate commands from the processing unit [1-5]. The sensors and their receiver/transmitter are generally powered by battery and/or solar cells. 

Includes members:
  Member "multiple frequency selection in dvfs enabled processors to minimize energy consumption":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "energy aware scheduling using dynamic voltage frequency scaling")
  Member "a task based sensor centeric model for overall energy consumption":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on modeling dependency between mapreduce configuration parameters and total execution time")
  Member "a study on modeling of dependency between configuration parameters and overall energy consumption in wireless sensor network wsn":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on modeling dependency between mapreduce configuration parameters and total execution time")
  Member "some observations on optimal frequency selection in dvfs based energy consumption minimization":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "energy efficiency in wireless sensor networks")

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)