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: "joint information freshness and completion time optimization for vehicular networks"
  Abstract: The demand for real-time cloud applications has seen an unprecedented growth over the past decade. These applications require rapidly data transfer and fast computations. This paper considers a scenario where multiple IoT devices update information on the cloud, and request a computation from the cloud at certain times. The time required to complete the request for computation includes the time to wait for computation to start on busy virtual machines, performing the computation, waiting and service in the networking stage for delivering the output to the end user. In this context, the freshness of the information is an important concern and is different from the completion time. This paper proposes novel scheduling strategies for both computation and networking stages. Based on these strategies, the age-of-information (AoI) metric and the completion time are characterized. A convex combination of the two metrics is optimized over the scheduling parameters. The problem is shown to be convex and thus can be solved optimally. Moreover, based on the offline policy, an online algorithm for job scheduling is developed. Numerical results demonstrate significant improvement as compared to the considered baselines.

Connected through hyperedge HE-1 (induced by source paper "timely status updating through intermittent sensing and transmission"):
  with members:
    - "optimizing information freshness in computing enabled iot networks"
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "trading off computation with transmission in status update systems"
    - "waiting before serving a companion to packet management in status update systems"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "the age of information in networks moments distributions and sampling"
    - "optimal status updating for an energy harvesting sensor with a noisy channel"
    - "can determinacy minimize age of information"

Connected through hyperedge HE-2 (induced by source paper "analysis on computation intensive status update in mobile edge computing"):
  with members:
    - "trading off computation with transmission in status update systems"
    - "age of information for computation intensive messages in mobile edge computing"
    - "timely cloud computing preemption and waiting"
    - "age of information in a network of preemptive servers"
    - "the age of information in networks moments distributions and sampling"
    - "joint status sampling and updating for minimizing age of information in the internet of things"
    - "a survey on mobile edge computing the communication perspective"
    - "the age of information in multihop networks"

Connected through hyperedge HE-3 (induced by source paper "joint transmission and computing scheduling for status update with mobile edge computing"):
  with members:
    - "trading off computation with transmission in status update systems"
    - "age of information for computation intensive messages in mobile edge computing"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "timely cloud computing preemption and waiting"
    - "age of information in a network of preemptive servers"
    - "a survey on mobile edge computing the communication perspective"
    - "age optimal information updates in multihop networks"
    - "age minimal transmission in energy harvesting two hop networks"

Connected through hyperedge HE-4 (induced by source paper "ultra reliable and low latency vehicular communication an active learning approach"):
  with members:
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "ultra reliable low latency vehicular networks taming the age of information tail"
    - "ultra reliable and low latency vehicular transmission an extreme value theory approach"
    - "a statistical learning approach to ultra reliable low latency communication"
    - "fine grained vs average reliability for v2v communications around intersections"
    - "gaussian processes for nonlinear signal processing an overview of recent advances"

Connected through hyperedge HE-5 (induced by source paper "trading off computation with transmission in status update systems"):
  with members:
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "waiting before serving a companion to packet management in status update systems"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "adaptive coding for information freshness in a two user broadcast erasure channel"
    - "using erasure feedback for online timely updating with an energy harvesting sensor"
    - "on peak age of information in data preprocessing enabled iot networks"
    - "relative age of information a new metric for status update systems"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"

Connected through hyperedge HE-6 (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-7 (induced by source paper "optimizing information freshness through computation transmission tradeoff and queue management in edge computing"):
  with members:
    - "optimizing information freshness in computing enabled iot networks"
    - "a general formula for the stationary distribution of the age of information and its application to single server queues"
    - "trading off computation with transmission in status update systems"
    - "waiting before serving a companion to packet management in status update systems"
    - "reducing age of information for computation intensive messages via packet replacement"
    - "relative age of information a new metric for status update systems"
    - "the age of information in networks moments distributions and sampling"
    - "can determinacy minimize age of information"

Connected through hyperedge HE-8 (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"
    - "minimizing content staleness in dynamo style replicated storage systems"
    - "coded status updates in an energy harvesting erasure channel"
    - "on the effect of task to worker assignment in distributed computing systems with stragglers"

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)