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: "analysis of an offloading scheme for data centers in the framework of fog computing"
  Abstract: In the context of fog computing, we consider a simple case when data centers are installed at the edge of the network and assume that if a request arrives at an overloaded data center, then it is forwarded to a neighboring data center with some probability. Data centers are assumed to have a large number of servers and that traffic at some of them is causing saturation. In this case the other data centers may help to cope with this saturation regime by accepting some of the rejected requests. Our aim is to qualitatively estimate the gain achieved via cooperation between neighboring data centers. After proving some convergence results, related to the scaling limits of loss systems, for the process describing the number of free servers at both data centers, we show that the performance of the system can be expressed in terms of the invariant distribution of a random walk in the quarter plane. By using and developing existing results in the technical literature, explicit formulas for the blocking rates of such a system are derived.

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 "performance analysis of a cooperative wireless network with adaptive relays"):
  with members:
    - "network level cooperation in random access iot networks with aggregators"
    - "stable throughput and delay analysis of a random access network with queue aware transmission"
    - "wireless network level partial relay cooperation a stable throughput analysis"
    - "random access in c ran for user activity detection with limited capacity fronthaul"
    - "relay assisted multiple access with full duplex multi packet reception"
    - "network level performance evaluation of a two relay cooperative random access wireless system"
    - "network level cooperation in energy harvesting wireless networks"
    - "a retrial system with two input streams and two orbit queues"

Connected through hyperedge HE-3 (induced by source paper "a taxonomy for management and optimization of multiple resources in edge computing"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "a survey on mobile edge computing the communication perspective"
    - "socially trusted collaborative edge computing in ultra dense networks"
    - "enorm a framework for edge node resource management"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "dynamic service placement for mobile micro clouds with predicted future costs"
    - "a comprehensive survey on fog computing state of the art and research challenges"

Connected through hyperedge HE-4 (induced by source paper "a comprehensive survey on fog computing state of the art and research challenges"):
  with members:
    - "coding for distributed fog computing"
    - "realizing the tactile internet haptic communications over next generation 5g cellular networks"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "fog computing based radio access networks issues and challenges"
    - "fit a fog computing device for speech teletreatments"
    - "backhaul traffic balancing and dynamic content centric clustering for the downlink of fog radio access network"
    - "fog data enhancing telehealth big data through fog computing"
    - "the emerging internet of things marketplace from an industrial perspective a survey"

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)