human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "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.

Connected through hyperedge HE-1 (induced by source paper "efficient 3d road map data exchange for intelligent vehicles in vehicular fog networks"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "a comprehensive survey on fog computing state of the art and research challenges"
    - "on the index coding problem and its relation to network coding and matroid theory"

Connected through hyperedge HE-2 (induced by source paper "maintaining data integrity in fog computing based critical infrastructure systems"):
  with members:
    - "all one needs to know about fog computing and related edge computing paradigms a complete survey"
    - "fog computing a taxonomy survey and future directions"

Connected through hyperedge HE-3 (induced by source paper "all one needs to know about fog computing and related edge computing paradigms a complete survey"):
  with members:
    - "pcamp performance comparison of machine learning packages on the edges"
    - "are fpgas suitable for edge computing"
    - "cabaret leveraging recommendation systems for mobile edge caching"
    - "edge intelligence on demand deep learning model co inference with device edge synergy"
    - "fog computing a taxonomy survey and future directions"
    - "data analytics service composition and deployment on edge devices"
    - "live service migration in mobile edge clouds"
    - "on reducing iot service delay via fog offloading"

Connected through hyperedge HE-4 (induced by source paper "viscr intuitive conflict free automation for securing the dynamic consumer iot infrastructures"):
  with members:
    - "soteria automated iot safety and security analysis"
    - "sensitive information tracking in commodity iot"
    - "iotc2 a formal method approach for detecting conflicts in large scale iot systems"
    - "decoupled ifttt constraining privilege in trigger action platforms for the internet of things"
    - "snap stateful network wide abstractions for packet processing"
    - "a fast compiler for netkat"
    - "merlin a language for provisioning network resources"

Connected through hyperedge HE-5 (induced by source paper "exploring the effectiveness of service decomposition in fog computing architecture for the internet of things"):
  with members:
    - "enorm a framework for edge node resource management"
    - "microservices granularity vs performance"
    - "privacy preserving personal model training"
    - "a hybrid approach for data analytics for internet of things"
    - "valorising the iot databox creating value for everyone"
    - "a survey on internet of things from industrial market perspective"

Connected through hyperedge HE-6 (induced by source paper "fog computing survey of trends architectures requirements and research directions"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "fog assisted wiot a smart fog gateway for end to end analytics in wearable internet of things"
    - "demystifying fog computing characterizing architectures applications and abstractions"
    - "fog computing principles architectures and applications"
    - "fog data enhancing telehealth big data through fog computing"
    - "big data computing and clouds"

Connected through hyperedge HE-7 (induced by source paper "a literature survey on ontology of different computing platforms in smart environments"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "resource management in cloud computing classification and taxonomy"
    - "building programmable wireless networks an architectural survey"

Connected through hyperedge HE-8 (induced by source paper "fog assisted cloud models for smart grid architectures comparison study and optimal deployment"):
  with members:
    - "focan a fog supported smart city network architecture for management of applications in the internet of everything environments"
    - "fog assisted operational cost reduction for cloud data centers"
    - "big data and fog computing"

Question: Please tell me which class the center node 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)