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: "minimizing content staleness in dynamo style replicated storage systems"
  Abstract: Consistency in data storage systems requires any read operation to return the most recent written version of the content. In replicated storage systems, consistency comes at the price of delay due to large-scale write and read operations. Many applications with low latency requirements tolerate data staleness in order to provide high availability and low operation latency. Using age of information as the staleness metric, we examine a data updating system in which real-time content updates are replicated and stored in a Dynamo-style quorum- based distributed system. A source sends updates to all the nodes in the system and waits for acknowledgements from the earliest subset of nodes, known as a write quorum. An interested client fetches the update from another set of nodes, defined as a read quorum. We analyze the staleness-delay tradeoff in replicated storage by varying the write quorum size. With a larger write quorum, an instantaneous read is more likely to get the latest update written by the source. However, the age of the content written to the system is more likely to become stale as the write quorum size increases. For shifted exponential distributed write delay, we derive the age optimized write quorum size that balances the likelihood of reading the latest update and the freshness of the latest update written by the source.

Connected through hyperedge HE-1 (induced by source paper "age of information for updates with distortion constant and age dependent distortion constraints"):
  with members:
    - "age of information for computation intensive messages in mobile edge computing"
    - "age of information aware cache updating with file and age dependent update durations"
    - "timely distributed computation with stragglers"
    - "age of information for updates with distortion"
    - "towards the tradeoff between service performance and information freshness"
    - "age of information with finite horizon and partial updates"
    - "online timely status updates with erasures for energy harvesting sensors"
    - "minimizing age of information with soft updates"

Connected through hyperedge HE-2 (induced by source paper "waiting but not aging age of information and utility optimization under the pull model"):
  with members:
    - "combinatorial sleeping bandits with fairness constraints"
    - "the age of information in networks moments distributions and sampling"
    - "optimizing information freshness in wireless networks under general interference constraints"
    - "optimizing age of information in wireless networks with perfect channel state information"
    - "status updates through multicast networks"
    - "the age of information in multihop networks"
    - "the power of waiting for more than one response in minimizing the age of information"
    - "reward maximization under uncertainty leveraging side observations on networks"

Connected through hyperedge HE-3 (induced by source paper "age of information for updates with distortion"):
  with members:
    - "age of information for computation intensive messages in mobile edge computing"
    - "towards the tradeoff between service performance and information freshness"
    - "online timely status updates with erasures for energy harvesting sensors"
    - "minimizing age of information with soft updates"
    - "optimal status updating for an energy harvesting sensor with a noisy channel"
    - "coded status updates in an energy harvesting erasure channel"
    - "on the effect of task to worker assignment in distributed computing systems with stragglers"
    - "age minimal online policies for energy harvesting sensors with random battery recharges"

Connected through hyperedge HE-4 (induced by source paper "the age of information in networks moments distributions and sampling"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "age of information in a network of preemptive servers"
    - "age optimal updates of multiple information flows"
    - "can decentralized status update achieve universally near optimal age of information in wireless multiaccess channels"
    - "to skip or to switch minimizing age of information under link capacity constraint"
    - "coded status updates in an energy harvesting erasure channel"
    - "distributed scheduling algorithms for optimizing information freshness in wireless networks"
    - "a dynamic jamming game for real time status updates"

Connected through hyperedge HE-5 (induced by source paper "the age of information real time status updating by multiple sources"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "age of information in a network of preemptive servers"
    - "age optimal updates of multiple information flows"
    - "optimal status updating for an energy harvesting sensor with a noisy channel"
    - "can decentralized status update achieve universally near optimal age of information in wireless multiaccess channels"
    - "to skip or to switch minimizing age of information under link capacity constraint"
    - "coded status updates in an energy harvesting erasure channel"
    - "distributed scheduling algorithms for optimizing information freshness in wireless networks"

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.DC(Distributed, Parallel, and Cluster Computing)