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: "cdn content distribution network"
  Abstract: Internet evolves and operates largely without a central coordination, the lack of which was and is critically important to the rapid growth and evolution of Internet. However, the lack of management in turn makes it very difficult to guarantee proper performance and to deal systematically with performance problems. Meanwhile, the available network bandwidth and server capacity continue to be overwhelmed by the skyrocketing Internet utilization and the accelerating growth of bandwidth intensive content. As a result, Internet service quality perceived by customers is largely unpredictable and unsatisfactory. Content Distribution Network (CDN) is an effective approach to improve Internet service quality. CDN replicates the content from the place of origin to the replica servers scattered over the Internet and serves a request from a replica server close to where the request originates. In this paper, we first give an overview about CDN. We then present the critical issues involved in designing and implementing an effective CDN and survey the approaches proposed in literature to address these problems. An example of CDN is described to show how a real commercial CDN operates. After this, we present a scheme that provides fast service location for peer-to-peer systems, a special type of CDN with no infrastructure support. We conclude with a brief projection about CDN.

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 "warp a icn architecture for social data"):
  with members:
    - "on the benefit of information centric networks for traffic engineering"
    - "contentflow mapping content to flows in software defined networks"
    - "decent a decentralized architecture for enforcing privacy in online social networks"

Connected through hyperedge HE-3 (induced by source paper "a review on p2p video streaming"):
  with members:
    - "cliquestream an efficient and fault resilient live streaming network on a clustered peer to peer overlay"

Connected through hyperedge HE-4 (induced by source paper "a dynamic data middleware cache for rapidly growing scientific repositories"):
  with members:
    - "skyserver traffic report the first five years"
    - "the sdss skyserver public access to the sloan digital sky server data"

Connected through hyperedge HE-5 (induced by source paper "economy based content replication for peering content delivery networks"):
  with members:
    - "a case for peering of content delivery networks"

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)