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: "allocation of heterogeneous resources of an iot device to flexible services"
  Abstract: Internet-of-Things (IoT) devices can be equipped with multiple heterogeneous network interfaces. An overwhelmingly large amount of services may demand some or all of these interfaces’ available resources. Herein, we present a precise mathematical formulation of assigning services to interfaces with heterogeneous resources in one or more rounds. For reasonable instance sizes, the presented formulation produces optimal solutions for this computationally hard problem. We prove the NP-completeness of the problem and develop two algorithms to approximate the optimal solution for big instance sizes. The first algorithm allocates the most demanding service requirements first, considering the average cost of interfaces’ resources. The second one calculates the demanding resource shares and allocates the most demanding of them first by choosing randomly among equally demanding shares. Finally, we provide simulation results giving insight into services splitting over different interfaces for both cases.

Connected through hyperedge HE-1 (induced by source paper "energy aware demand selection and allocation for real time iot data trading"):
  with members:
    - "towards secure and decentralized sharing of iot data"
    - "a conceptual marketplace model for iot generated personal data"
    - "enforcing private data usage control with blockchain and attested off chain contract execution"
    - "a decentralized iot data marketplace"
    - "idmob iot data marketplace on blockchain"
    - "mind my value a decentralized infrastructure for fair and trusted iot data trading"
    - "blockchain enabled data marketplace design and challenges"
    - "distributed approximation algorithms for the multiple knapsack problem"

Connected through hyperedge HE-2 (induced by source paper "resource management techniques for cloud based iot environment"):
  with members:
    - "a study of efficient energy management techniques for cloud computing environment"
    - "cognitive hierarchy theory for distributed resource allocation in the internet of things"
    - "focan a fog supported smart city network architecture for management of applications in the internet of everything environments"
    - "a relative study of task scheduling algorithms in cloud computing environment"
    - "flexible allocation of heterogeneous resources to services on an iot device"

Connected through hyperedge HE-3 (induced by source paper "energy efficient distributed processing for iot"):
  with members:
    - "all one needs to know about fog computing and related edge computing paradigms a complete survey"
    - "service embedding in iot networks"
    - "patient centric cellular networks optimization using big data analytics"
    - "energy efficient iot virtualization framework with peer to peer networking and processing"
    - "optimized energy aware 5g network function virtualization"

Connected through hyperedge HE-4 (induced by source paper "network level cooperation in random access iot networks with aggregators"):
  with members:
    - "stable throughput and delay analysis of a random access network with queue aware transmission"
    - "aggregation and resource scheduling in machine type communication networks a stochastic geometry approach"
    - "wireless network level partial relay cooperation a stable throughput analysis"
    - "massive machine type communication with data aggregation and resource scheduling"
    - "effect of energy harvesting on stable throughput in cooperative relay systems"
    - "optimizing data aggregation for uplink machine to machine communication networks"
    - "network level performance evaluation of a two relay cooperative random access wireless system"
    - "network level cooperation in energy harvesting wireless networks"

Connected through hyperedge HE-5 (induced by source paper "derandomized distributed multi resource allocation with little communication overhead"):
  with members:
    - "on the control of agents coupled through shared resources"
    - "distributed multi resource allocation with little communication overhead"

Connected through hyperedge HE-6 (induced by source paper "service allocation in a mobile fog infrastructure under availability and qos constraints"):
  with members:
    - "fog computing based radio access networks issues and challenges"

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)