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 "all one needs to know about fog computing and related edge computing paradigms a complete survey"):
  Abstract: Abstract   With the Internet of Things (IoT) becoming part of our daily life and our environment, we expect rapid growth in the number of connected devices. IoT is expected to connect billions of devices and humans to bring promising advantages for us. With this growth, fog computing, along with its related edge computing paradigms, such as multi-access edge computing (MEC) and cloudlet, are seen as promising solutions for handling the large volume of security-critical and time-sensitive data that is being produced by the IoT. In this paper, we first provide a tutorial on fog computing and its related computing paradigms, including their similarities and differences. Next, we provide a taxonomy of research topics in fog computing, and through a comprehensive survey, we summarize and categorize the efforts on fog computing and its related computing paradigms. Finally, we provide challenges and future directions for research in fog computing.

Includes members:
  Member "pcamp performance comparison of machine learning packages on the edges":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "edge intelligence paving the last mile of artificial intelligence with edge computing")
  Member "are fpgas suitable for edge computing":
    also connected through other hyperedges:
      (none)
  Member "cabaret leveraging recommendation systems for mobile edge caching":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "cache optimization models and algorithms")
  Member "edge intelligence on demand deep learning model co inference with device edge synergy":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "mdldroid a chainsgd reduce approach to mobile deep learning for personal mobile sensing")
  Member "fog computing a taxonomy survey and future directions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "efficient 3d road map data exchange for intelligent vehicles in vehicular fog networks")
  Member "data analytics service composition and deployment on edge devices":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey on big data for network traffic monitoring and analysis")
  Member "live service migration in mobile edge clouds":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "modelling fog offloading performance")
  Member "on reducing iot service delay via fog offloading":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "modelling fog offloading performance")

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.NI(Networking and Internet Architecture)