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: "longest wait first for broadcast scheduling"
  Abstract: We consider online algorithms for broadcast scheduling. In the pull-based broadcast model there are $n$ unit-sized pages of information at a server and requests arrive online for pages. When the server transmits a page $p$, all outstanding requests for that page are satisfied. The longest-wait-first} (LWF) algorithm is a natural algorithm that has been shown to have good empirical performance. In this paper we make two main contributions to the analysis of LWF and broadcast scheduling. \begin{itemize} \item We give an intuitive and easy to understand analysis of LWF which shows that it is $O(1/\eps^2)$-competitive for average flow-time with $(4+\eps)$ speed. Using a more involved analysis, we show that LWF is $O(1/\eps^3)$-competitive for average flow-time with $(3.4+\epsilon)$ speed. \item We show that a natural extension of LWF is O(1)-speed O(1)-competitive for more general objective functions such as average delay-factor and $L_k$ norms of delay-factor (for fixed $k$). \end{itemize}

Connected through hyperedge HE-1 (induced by source paper "the complexity of scheduling for p norms of flow and stretch"):
  with members:
    - "online primal dual for non linear optimization with applications to speed scaling"
    - "online scheduling on identical machines using srpt"
    - "the geometry of scheduling"

Connected through hyperedge HE-2 (induced by source paper "scheduling to minimize energy and flow time in broadcast scheduling"):
  with members:
    - "online primal dual for non linear optimization with applications to speed scaling"
    - "scalably scheduling power heterogeneous processors"
    - "minimizing maximum response time and delay factor in broadcast scheduling"
    - "nonclairvoyant speed scaling for flow and energy"

Connected through hyperedge HE-3 (induced by source paper "minimizing maximum response time and delay factor in broadcast scheduling"):
  with members:
    - "online scheduling to minimize the maximum delay factor"
    - "scheduling algorithms for procrastinators"

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.DS(Data Structures and Algorithms)