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 "comparative analysis of spatialhadoop and geospark for geospatial big data analytics"):
  Abstract: In this digitalised world where every information is stored, the data a are growing exponentially. It is estimated that data are doubles itself every two years. Geospatial data are one of the prime contributors to the big data scenario. There are numerous tools of the big data analytics. But not all the big data analytics tools are capabilities to handle geospatial big data. In the present paper, it has been discussed about the recent two popular open source geospatial big data analytical tools i.e. Spatial- Hadoop and GeoSpark which can be used for analysis and process the geospatial big data in efficient manner. It has compared the architectural view of SpatialHadoop and GeoSpark. Through the architectural comparison, it has also summarised the merits and demerits of these tools according the execution times and volume of the data which has been used.

Includes members:
  Member "bigear inferring the ambient and emotional correlates from smartphone based acoustic big data":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "smartear smartwatch based unsupervised learning for multi modal signal analysis in opportunistic sensing framework")
  Member "harmonic sum based method for heart rate estimation using ppg signals affected with motion artifacts":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "smart fog fog computing framework for unsupervised clustering analytics in wearable internet of things")
  Member "foggis fog computing for geospatial big data analytics":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "challenges in designing edge based middlewares for the internet of things a survey")
  Member "fit a fog computing device for speech teletreatments":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey of fog computing and communication current researches and future directions")
  Member "echowear smartwatch technology for voice and speech treatments of patients with parkinson s disease":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey of fog computing and communication current researches and future directions")
  Member "a multi smartwatch system for assessing speech characteristics of people with dysarthria in group settings":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "smartear smartwatch based unsupervised learning for multi modal signal analysis in opportunistic sensing framework")
  Member "fog data enhancing telehealth big data through fog computing":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a survey on edge computing systems and tools")
  Member "the anatomy of big data computing":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "joint communication computation caching and control in big data multi access edge computing")

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)