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: "an online secretary framework for fog network formation with minimal latency"
  Abstract: Fog computing is seen as a promising approach to perform distributed, low-latency computation for supporting Internet of Things applications. However, due to the unpredictable arrival of available neighboring fog nodes, the dynamic formation of a fog network can be challenging. In essence, a given fog node must smartly select the set of neighboring fog nodes that can provide low-latency computations. In this paper, this problem of fog network formation and task distribution is studied considering a hybrid cloud-fog architecture. The goal of the proposed framework is to minimize the maximum computational latency by enabling a given fog node to form a suitable fog network, under uncertainty on the arrival process of neighboring fog nodes. To solve this problem, a novel approach based on the online secretary framework is proposed. To find the desired set of neighboring fog nodes, an online algorithm is developed to enable a task initiating fog node to decide on which other nodes can be used as part of its fog network, to offload computational tasks, without knowing any prior information on the future arrivals of those other nodes. Simulation results show that the proposed online algorithm can successfully select an optimal set of neighboring fog nodes while achieving a latency that is as small as the one resulting from an ideal, offline scheme that has complete knowledge of the system. The results also show how, using the proposed approach, the computational tasks can be properly distributed between the fog network and a remote cloud server.

Connected through hyperedge HE-1 (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-2 (induced by source paper "decentralized asynchronous coded caching design and performance analysis in fog radio access networks"):
  with members:
    - "asynchronous coded caching"
    - "user preference learning based edge caching for fog radio access network"
    - "decentralized asynchronous coded caching in fog ran"
    - "proactive edge computing in latency constrained fog networks"
    - "on the placement delivery array design for centralized coded caching scheme"
    - "coded caching schemes with reduced subpacketization from linear block codes"
    - "centralized coded caching schemes a hypergraph theoretical approach"
    - "caching and delivery via interference elimination"

Connected through hyperedge HE-3 (induced by source paper "bandit convex optimization for scalable and dynamic iot management"):
  with members:
    - "a survey on mobile edge computing the communication perspective"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "joint offloading and computing optimization in wireless powered mobile edge computing systems"
    - "online learning for wireless distributed computing"
    - "online optimization competing with dynamic comparators"
    - "joint optimization of radio and computational resources for multicell mobile edge computing"
    - "an optimal algorithm for bandit and zero order convex optimization with two point feedback"
    - "efficient multi user computation offloading for mobile edge cloud computing"

Connected through hyperedge HE-4 (induced by source paper "dynamic task offloading and resource allocation for ultra reliable low latency edge computing"):
  with members:
    - "ultra reliable and low latency vehicular transmission an extreme value theory approach"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "online learning for offloading and autoscaling in energy harvesting mobile edge computing"
    - "proactive edge computing in latency constrained fog networks"
    - "millimeter wave v2v communications distributed association and beam alignment"
    - "a survey on mobile edge computing the communication perspective"
    - "stochastic joint radio and computational resource management for multi user mobile edge computing systems"

Connected through hyperedge HE-5 (induced by source paper "joint communication computation caching and control in big data multi access edge computing"):
  with members:
    - "deep learning for reliable mobile edge analytics in intelligent transportation systems"
    - "proactive edge computing in latency constrained fog networks"
    - "a survey on mobile edge computing the communication perspective"
    - "stochastic joint radio and computational resource management for multi user mobile edge computing systems"
    - "energy efficient resource allocation for cache assisted mobile edge computing"
    - "network slicing for service oriented networks under resource constraints"
    - "artificial neural networks based machine learning for wireless networks a tutorial"
    - "caching in the sky proactive deployment of cache enabled unmanned aerial vehicles for optimized quality of experience"

Connected through hyperedge HE-6 (induced by source paper "an online optimization framework for distributed fog network formation with minimal latency"):
  with members:
    - "proactive edge computing in latency constrained fog networks"
    - "enorm a framework for edge node resource management"
    - "joint subcarrier and cpu time allocation for mobile edge computing"
    - "fog computing based radio access networks issues and challenges"
    - "learning how to communicate in the internet of things finite resources and heterogeneity"
    - "challenges and opportunities in edge computing"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"
    - "power delay tradeoff in multi user mobile edge computing systems"

Connected through hyperedge HE-7 (induced by source paper "proactive edge computing in latency constrained fog networks"):
  with members:
    - "power delay tradeoff in multi user mobile edge computing systems"
    - "efficient multi user computation offloading for mobile edge cloud computing"
    - "matching theory for future wireless networks fundamentals and applications"
    - "living on the edge the role of proactive caching in 5g wireless networks"
    - "content aware user clustering and caching in wireless small cell networks"

Connected through hyperedge HE-8 (induced by source paper "hierarchical fog cloud computing for iot systems a computation offloading game"):
  with members:
    - "proactive edge computing in latency constrained fog networks"
    - "efficient multi user computation offloading for mobile edge cloud computing"
    - "peer effects and stability in matching markets"

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.IT(Information Theory)