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 "age of information for updates with distortion"):
  Abstract: We consider an information update system where an information receiver requests updates from an information provider in order to minimize its age of information. The updates are generated at the transmitter as a result of completing a set of tasks such as collecting data and performing computations. We refer to this as the update generation process. We model the $quality$ (i.e., $distortion$) of an update as an increasing (resp. decreasing) function of the processing time spent while generating the update at the transmitter. While processing longer at the transmitter results in a better quality (lower distortion) update, it causes the update to age. We determine the age-optimal policies for the update request times at the receiver and update processing times at the transmitter subject to a minimum required quality (maximum allowed distortion) constraint on the updates.

Includes members:
  Member "age of information for computation intensive messages in mobile edge computing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "analysis on computation intensive status update in mobile edge computing")
  Member "towards the tradeoff between service performance and information freshness":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "age of information for updates with distortion constant and age dependent distortion constraints")
  Member "online timely status updates with erasures for energy harvesting sensors":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "who should google scholar update more often")
  Member "minimizing age of information with soft updates":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "who should google scholar update more often")
  Member "optimal status updating for an energy harvesting sensor with a noisy channel":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "timely status updating through intermittent sensing and transmission")
  Member "minimizing content staleness in dynamo style replicated storage systems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "age of information for updates with distortion constant and age dependent distortion constraints")
  Member "coded status updates in an energy harvesting erasure channel":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "timely updates by multiple sources the m m 1 queue revisited")
  Member "on the effect of task to worker assignment in distributed computing systems with stragglers":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "age of information for updates with distortion constant and age dependent distortion constraints")

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)