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: "latency and reliability aware task offloading and resource allocation for mobile edge computing"
  Abstract: While mobile edge computing (MEC) alleviates the computation and power limitations of mobile devices, additional latency is incurred when offloading tasks to remote MEC servers. In this work, the power-delay tradeoff in the context of task offloading is studied in a multi-user MEC scenario. In contrast with current system designs relying on average metrics (e.g., the average queue length and average latency), a novel network design is proposed in which latency and reliability constraints are taken into account. This is done by imposing a probabilistic constraint on users' task queue lengths and invoking results from extreme value theory to characterize the occurrence of low-probability events in terms of queue length (or queuing delay) violation. The problem is formulated as a computation and transmit power minimization subject to latency and reliability constraints, and solved using tools from Lyapunov stochastic optimization. Simulation results demonstrate the effectiveness of the proposed approach, while examining the power-delay tradeoff and required computational resources for various computation intensities.

Connected through hyperedge HE-1 (induced by source paper "optimized age of information tail for ultra reliable low latency communications in vehicular networks"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "optimal control of status updates in a multiple access channel with stability constraints"
    - "average peak age of information minimization in uav assisted iot networks"
    - "saddlepoint approximations for rayleigh block fading channels"
    - "optimal status updating with a finite battery energy harvesting source"
    - "statistical guarantee optimization for aoi in single hop and two hop systems with periodic arrivals"
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "dynamic task offloading and resource allocation for ultra reliable low latency edge computing"

Connected through hyperedge HE-2 (induced by source paper "computation resource allocation for heterogeneous time critical iot services in mec"):
  with members:
    - "joint uplink and downlink resource configuration for ultra reliable and low latency communications"
    - "towards 5g enabled tactile robotic telesurgery"
    - "stochastic joint radio and computational resource management for multi user mobile edge computing systems"

Connected through hyperedge HE-3 (induced by source paper "wireless edge computing with latency and reliability guarantees"):
  with members:
    - "distributed federated learning for ultra reliable low latency vehicular communications"
    - "machine learning at the wireless edge distributed stochastic gradient descent over the air"
    - "how reliable and capable is multi connectivity"
    - "a tutorial on beam management for 3gpp nr at mmwave frequencies"
    - "uav communications for 5g and beyond recent advances and future trends"
    - "coded federated computing in wireless networks with straggling devices and imperfect csi"
    - "ultra reliable communication in 5g mmwave networks a risk sensitive approach"
    - "on device federated learning via blockchain and its latency analysis"

Connected through hyperedge HE-4 (induced by source paper "cross layer design for mission critical iot in mobile edge computing systems"):
  with members:
    - "improving network availability of ultra reliable and low latency communications with multi connectivity"
    - "asynchronous mobile edge computation offloading energy efficient resource management"
    - "energy efficient joint offloading and wireless resource allocation strategy in multi mec server systems"
    - "homa a receiver driven low latency transport protocol using network priorities"
    - "joint uplink and downlink resource configuration for ultra reliable and low latency communications"
    - "performance optimization in mobile edge computing via deep reinforcement learning"
    - "a survey on mobile edge computing the communication perspective"
    - "delay optimal computation task scheduling for mobile edge computing systems"

Connected through hyperedge HE-5 (induced by source paper "learning based priority pricing for job offloading in mobile edge computing"):
  with members:
    - "a survey on mobile edge computing the communication perspective"
    - "stochastic joint radio and computational resource management for multi user mobile edge computing systems"
    - "toward hierarchical mobile edge computing an auction based profit maximization approach"
    - "delay optimal computation task scheduling for mobile edge computing systems"
    - "dynamic computation offloading for mobile edge computing with energy harvesting devices"
    - "energy efficient resource allocation for mobile edge computation offloading"
    - "power delay tradeoff in multi user mobile edge computing systems"
    - "decentralized computation offloading game for mobile cloud computing"

Connected through hyperedge HE-6 (induced by source paper "resource awareness in unmanned aerial vehicle assisted mobile edge computing systems"):
  with members:
    - "age of information aware radio resource management in vehicular networks a proactive deep reinforcement learning perspective"
    - "optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning"
    - "multi tenant cross slice resource orchestration a deep reinforcement learning approach"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "multiuser computation offloading and downloading for edge computing with virtualization"
    - "a survey on mobile edge computing the communication perspective"
    - "deep multi user reinforcement learning for distributed dynamic spectrum access"
    - "deep recurrent q learning for partially observable mdps"

Connected through hyperedge HE-7 (induced by source paper "service capacity enhanced task offloading and resource allocation in multi server edge computing environment"):
  with members:
    - "joint communication computation caching and control in big data multi access edge computing"
    - "a survey on mobile edge computing the communication perspective"
    - "stochastic joint radio and computational resource management for multi user mobile edge computing systems"
    - "decentralized computation offloading game for mobile cloud computing"
    - "5g ultra dense cellular networks"
    - "joint optimization of radio and computational resources for multicell mobile edge computing"

Connected through hyperedge HE-8 (induced by source paper "security modeling and efficient computation offloading for service workflow in mobile edge computing"):
  with members:
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "a survey on mobile edge computing the communication perspective"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "energy efficient resource allocation for mobile edge computation offloading"
    - "inter layer per mobile optimization of cloud mobile computing a message passing approach"
    - "optimization of radio and computational resources for energy efficiency in latency constrained application offloading"

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)