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 "simulation technique for available bandwidth estimation"):
  Abstract: This paper proposes a method for measuring the available bandwidth, based on testing network packets of various sizes (variable packet size method, VPS). The range of applicability of the model has been found, it is based on the accuracy of the measurements of packet delays. We have also derived a formula for the upper limit of the bandwidth. Computer simulations have been performed and the relationship between the measurement error of the available bandwidth and the number of measurements has been found. Experimental verification with the use of the RIPE test box measuring system has shown that this method has advantages over existing measurement techniques. The Path load utility has been chosen as an alternative technique of measurement, and to ensure that reliable result statistics have been withdrawn by the SNMP agent directly from the router.

Includes members:
  Member "throughput metrics and packet delay in tcp ip networks":
    also connected through other hyperedges:
      (none)
  Member "what type of distribution for packet delay in a global network should be used in the control theory":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "packet pair technique for available bandwidth estimation in ipv6 network")
  Member "estimation of available bandwidth and measurement infrastructure for russian segment of internet":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "packet pair technique for available bandwidth estimation in ipv6 network")

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)