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 "a constant approximation algorithm for scheduling packets on line networks"):
  Abstract: In this paper we study the problem of scheduling packets on directed line networks. Each node in the network has a local buffer of bounded size $B$, and each edge (or link) can transmit a limited number $c$ of packets in every time unit. The input to the problems consists of $n$ - the size of the network, $B$ - the node buffer sizes, $c$ - the links capacities, and a set of source-destination packet requests with a release times. A solution for this problem is a schedule that delivers packets to their destination without violating the capacity constraints of the network (buffers or edges). Our goal is to design an algorithm that computes a schedule that maximizes the number of packets that arrive to their destination. #R##N#We present a randomized approximation algorithm with constant approximation ratio in expectation for the case where the buffer-size to link-capacity ratio $B/c$ is constant. This improves over the $O(\log^* n)$-approximation algorithm of R\"{a}cke-Ros\'{e}n (SPAA 2009). #R##N#The algorithm supports "soft" deadlines in the following sense. Packets may have deadlines, and the algorithm delivers the accepted packets no later than $\log n$ time units after their respective deadlines.

Includes members:
  Member "online packet routing in grids with bounded buffers":
    also connected through other hyperedges:
      (none)
  Member "randomized rounding without solving the linear program":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "distributed edge connectivity in sublinear time")

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.DS(Data Structures and Algorithms)