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 "minimizing the age of the information through queues"):
  Abstract: In this paper, we focus on developing simple scheduling policies that can minimize the age of the information sent through multi-server queueing systems. We consider a general packet arrival process, where the generation times and arrival times of the packets are arbitrarily given. Hence, the packets may arrive in an order that is different from the order of their generation times. Further, a packet can be replicated on multiple servers, and one can specify a priori the maximum number of replicas that can be created for a packet. Once a replica is completed, the remaining replicas of this packet are canceled to release the servers. We show that simple variants (e.g., preemptive, non-premptive, replicative, non-replicative) of the Last-Generated, First-Serve (LGFS) scheduling policy are age-optimal in a stochastic ordering sense for exponentially distributed packet service times. These policies are optimal for minimizing not only the age process, but also for minimizing any non-decreasing functional of the age process. We further investigate the class of New-Better-than-Used (NBU) service time distributions and develop scheduling policies that are shown to be within a constant gap from the optimum age performance. It is known that replications worsens the delay and decreases the throughput for most NBU service time distributions. However, to our surprise, we find that replication can in fact reduce the age for a variety of NBU service time distributions.

Includes members:
  Member "the power of waiting for more than one response in minimizing the age of information":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "waiting but not aging age of information and utility optimization under the pull model")
  Member "age optimal information updates in multihop networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "timely updates by multiple sources the m m 1 queue revisited")
  Member "remote estimation of the wiener process over a channel with random delay":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "who should google scholar update more often")
  Member "on delay optimal scheduling in queueing systems with replications":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "exploiting computation replication for mobile edge computing a fundamental computation communication tradeoff study")
  Member "update or wait how to keep your data fresh":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "who should google scholar update more often")
  Member "age of information in the presence of error":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "timely updates by multiple sources the m m 1 queue revisited")
  Member "optimizing data freshness throughput and delay in multi server information update systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "who should google scholar update more often")
  Member "age of information the gamma awakening":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "adaptive power and rate control for real time status updating over fading channels")

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.IT(Information Theory)