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: "demystifying fog computing characterizing architectures applications and abstractions"
  Abstract: Internet of Things (IoT) has accelerated the deployment of millions of sensors at the edge of the network, through Smart City infrastructure and lifestyle devices. Cloud computing platforms are often tasked with handling these large volumes and fast streams of data from the edge. Recently, Fog computing has emerged as a concept for low-latency and resource-rich processing of these observation streams, to complement Edge and Cloud computing. In this paper, we review various dimensions of system architecture, application characteristics and platform abstractions that are manifest in this Edge, Fog and Cloud eco-system. We highlight novel capabilities of the Edge and Fog layers, such as physical and application mobility, privacy sensitivity, and a nascent runtime environment. IoT application case studies based on first-hand experiences across diverse domains drive this categorization. We also highlight the gap between the potential and the reality of Fog computing, and identify challenges that need to be overcome for the solution to be sustainable. Taken together, our article can help platform and application developers bridge the gap that remains in making Fog computing viable.

Connected through hyperedge HE-1 (induced by source paper "fog to cloud and network coded based architecture minimizing data download time for smart mobility"):
  with members:
    - "reliable iot storage minimizing bandwidth use in storage without newcomer nodes"
    - "the internet of things fog and cloud continuum integration and challenges"
    - "a survey on network codes for distributed storage"

Connected through hyperedge HE-2 (induced by source paper "secure cloud edge deployments with trust"):
  with members:
    - "how to place your apps in the fog state of the art and open challenges"
    - "explainable security"
    - "online placement of multi component applications in edge computing environments"

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 "characterizing application scheduling on edge fog and cloud computing resources"):
  with members:
    - "violet a large scale virtual environment for internet of things"
    - "adaptive energy aware scheduling of dynamic event analytics across edge and cloud resources"
    - "slaq quality driven scheduling for distributed machine learning"
    - "arm wrestling with big data a study of commodity arm64 server for big data workloads"
    - "a manifesto for future generation cloud computing research directions for the next decade"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "big data and fog computing"
    - "distributed scheduling of event analytics across edge and cloud"

Connected through hyperedge HE-5 (induced by source paper "a survey of benchmarks to evaluate data analytics for smart applications"):
  with members:
    - "towards reliable and efficient job executions in a practical geo distributed data analytics system"
    - "benchmarking distributed stream processing platforms for iot applications"
    - "benchmarking big data systems state of the art and future directions"
    - "context aware computing for the internet of things a survey"
    - "sensing as a service model for smart cities supported by internet of things"
    - "internet of things iot a vision architectural elements and future directions"

Connected through hyperedge HE-6 (induced by source paper "using machine learning for handover optimization in vehicular fog computing"):
  with members:
    - "lstm a search space odyssey"
    - "lifelong learning with dynamically expandable networks"
    - "a survey on mobile edge computing the communication perspective"
    - "delving deep into rectifiers surpassing human level performance on imagenet classification"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-7 (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"
    - "fog computing for sustainable smart cities a survey"
    - "fog computing principles architectures and applications"
    - "fog data enhancing telehealth big data through fog computing"
    - "big data computing and clouds"

Connected through hyperedge HE-8 (induced by source paper "violet a large scale virtual environment for internet of things"):
  with members:
    - "mathbb echo an adaptive orchestration platform for hybrid dataflows across cloud and edge"
    - "riotbench a real time iot benchmark for distributed stream processing platforms"
    - "plug and play bench simplifying big data benchmarking using containers"
    - "distributed scheduling of event analytics across edge and cloud"
    - "fog computing principles architectures and applications"

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.DC(Distributed, Parallel, and Cluster Computing)