human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "the effect of isp traffic shaping on user perceived performances in broadband access networks"):
  Abstract: Recent studies on the practice of shaping user traffic by Internet service providers (ISPs) give new insights into the actual performance of broadband access networks at the network level. In this paper we investigate the effect of ISP traffic shaping on user-perceived performances. We use the application/session-level traffic models and performance measures for FTP, HTTP, and streaming video traffic as objective and quantifiable measures of user-perceived performances and study how the parameters of a token bucket filter (TBF) used in traffic shaping affect those measures. We first investigate the effect of the token generation rate and the token bucket size of a TBF on user-perceived performances with a single subscriber. Then we investigate with multiple subscribers their effect on the performances of multiple traffic flows interacting in a shared access network. The simulation results show that allowing users to send their traffic at a peak rate, much higher than the token generation rate, with a large token bucket size greatly improves user-perceived performances in both single- and multi-subscriber environments.

Includes members:
  Member "a research framework for the clean slate design of next generation optical access":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "cooperative isp traffic shaping schemes in broadband shared access networks")
  Member "clean slate design of next generation optical access":
    also connected through other hyperedges:
      (none)

Question: Please tell me which class the source paper 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)