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: "practical load balancing for content requests in peer to peer networks"
  Abstract: This paper studies the problem of load-balancing the demand for content in a peer-to-peer network across heterogeneous peer nodes that hold replicas of the content. Previous decentralized load balancing techniques in distributed systems base their decisions on periodic updates containing information about load or available capacity observed at the serving entities. We show that these techniques do not work well in the peer-to-peer context; either they do not address peer node heterogeneity, or they suffer from significant load oscillations. We propose a new decentralized algorithm, Max-Cap, based on the maximum inherent capacities of the replica nodes and show that unlike previous algorithms, it is not tied to the timeliness or frequency of updates. Yet, Max-Cap can handle the heterogeneity of a peer-to-peer environment without suffering from load oscillations.

Connected through hyperedge HE-1 (induced by source paper "storage communication and load balancing trade off in distributed cache networks"):
  with members:
    - "proximity aware balanced allocations in cache networks"
    - "speeding up future video distribution via channel aware caching aided coded multicast"
    - "order optimal rate of caching and coded multicasting with random demands"
    - "balanced allocation on graphs a random walk approach"
    - "asymptotic laws for joint content replication and delivery in wireless networks"
    - "fundamental limits of caching"
    - "femtocaching wireless video content delivery through distributed caching helpers"
    - "tight bounds for parallel randomized load balancing"

Connected through hyperedge HE-2 (induced by source paper "proximity aware balanced allocations in cache networks"):
  with members:
    - "multi server coded caching"
    - "hierarchical coded caching"
    - "balanced allocation on graphs a random walk approach"
    - "fundamental limits of caching in wireless d2d networks"
    - "fundamental limits of caching"
    - "femtocaching wireless video content delivery through distributed caching helpers"
    - "tight bounds for parallel randomized load balancing"
    - "balanced allocation on graphs"

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)