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 "fog computing for sustainable smart cities a survey"):
  Abstract: The Internet of Things (IoT) aims to connect billions of smart objects to the Internet, which can bring a promising future to smart cities. These objects are expected to generate large amounts of data and send the data to the cloud for further processing, specially for knowledge discovery, in order that appropriate actions can be taken. However, in reality sensing all possible data items captured by a smart object and then sending the complete captured data to the cloud is less useful. Further, such an approach would also lead to resource wastage (e.g. network, storage, etc.). The Fog (Edge) computing paradigm has been proposed to counterpart the weakness by pushing processes of knowledge discovery using data analytics to the edges. However, edge devices have limited computational capabilities. Due to inherited strengths and weaknesses, neither Cloud computing nor Fog computing paradigm addresses these challenges alone. Therefore, both paradigms need to work together in order to build an sustainable IoT infrastructure for smart cities. In this paper, we review existing approaches that have been proposed to tackle the challenges in the Fog computing domain. Specifically, we describe several inspiring use case scenarios of Fog computing, identify ten key characteristics and common features of Fog computing, and compare more than 30 existing research efforts in this domain. Based on our review, we further identify several major functionalities that ideal Fog computing platforms should support and a number of open challenges towards implementing them, so as to shed light on future research directions on realizing Fog computing for building sustainable smart cities.

Includes members:
  Member "fog networking an overview on research opportunities":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "coded caching in fog ran b matching approach")
  Member "a survey of systems for massive stream analytics":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a scheduling algorithm to maximize storm throughput in heterogeneous cluster")
  Member "cloudrone micro clouds in the sky":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "all one needs to know about fog computing and related edge computing paradigms a complete survey")
  Member "applying seamful design in location based mobile museum applications":
    also connected through other hyperedges:
      (none)
  Member "fog data enhancing telehealth big data through fog computing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey on edge computing systems and tools")
  Member "energy efficient location and activity aware on demand mobile distributed sensing platform for sensing as a service in iot clouds":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a spatial temporal correlation approach for data reduction in cluster based sensor networks")
  Member "big data privacy in the internet of things era":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "security privacy and trust for smart mobile internet of things m iot a survey")
  Member "the emerging internet of things marketplace from an industrial perspective a survey":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "minimizing the age of information of cognitive radio based iot systems under a collision constraint")

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)