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: "age of information for computation intensive messages in mobile edge computing"
  Abstract: Age-of-information (AoI) is a novel metric that measures the freshness of information in status update scenarios. It is essential for real-time applications to transmit status update packets to the destination node as timely as possible. However, for some applications, status information embedded in the packets is not revealed until complicated data processing, which is computational expensive and time consuming. As mobile edge server has sufficient computational resource and is placed close to users, mobile edge computing (MEC) is expected to reduce age for computation-intensive messages. In this paper, we study the AoI for computation-intensive data in MEC, and consider two schemes: local computing by user itself and remote computing at MEC server. The two computing models are unified into a two-node tandem queuing model. Zero-wait policy is adopted, i.e., a new message is generated once the previous one leaves the first node. We consider exponentially distributed service time and infinite queue size, and hence, the second node can be seen as a First-Come-First-Served (FCFS) M/M/1 system. Closed-form average AoI is derived for the two computing schemes. The region where remote computing outperforms local computing is characterized. Simulation results show that the remote computing is greatly superior to the local computing when the remote computing rate is large enough, and that there exists an optimal transmission rate so that remote computing is better than local computing for a largest range.

Connected through hyperedge HE-1 (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"
    - "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"
    - "joint information freshness and completion time optimization for vehicular networks"
    - "a survey on mobile edge computing the communication perspective"
    - "the age of information in multihop networks"

Connected through hyperedge HE-2 (induced by source paper "age of information for multicast transmission with fixed and random deadlines in iot systems"):
  with members:
    - "average peak age of information minimization in uav assisted iot networks"
    - "economics of age of information management under network externalities"
    - "minimizing the age of information in wireless networks with stochastic arrivals"
    - "broadcast age of information in csma ca based wireless networks"
    - "adaptive coding for information freshness in a two user broadcast erasure channel"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "age minimal online policies for energy harvesting sensors with random battery recharges"
    - "reinforcement learning based scheduling algorithm for optimizing age of information in ultra reliable low latency 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"
    - "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"
    - "joint information freshness and completion time optimization for vehicular networks"
    - "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 "timely distributed computation with stragglers"):
  with members:
    - "straggler mitigation at scale"
    - "trading off computation with transmission in status update systems"
    - "age of information with prioritized streams when to buffer preempted packets"
    - "sampling for remote estimation through queues age of information and beyond"
    - "computation scheduling for distributed machine learning with straggling workers"
    - "age of information for discrete time queues"
    - "on timely channel coding with hybrid arq"
    - "mds coding is better than replication for job completion times"

Connected through hyperedge HE-5 (induced by source paper "age of information for updates with distortion constant and age dependent distortion constraints"):
  with members:
    - "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"
    - "optimal status updating for an energy harvesting sensor with a noisy channel"

Connected through hyperedge HE-6 (induced by source paper "age of information for updates with distortion"):
  with members:
    - "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"
    - "age minimal online policies for energy harvesting sensors with random battery recharges"

Connected through hyperedge HE-7 (induced by source paper "reducing age of information for computation intensive messages via packet replacement"):
  with members:
    - "age of information in a network of preemptive servers"
    - "the age of information in networks moments distributions and sampling"
    - "joint information freshness and completion time optimization for vehicular networks"
    - "a survey on mobile edge computing the communication perspective"
    - "age optimal information updates in multihop networks"
    - "update or wait how to keep your data fresh"
    - "on the age of information in status update systems with packet management"

Connected through hyperedge HE-8 (induced by source paper "latency and timeliness in multi hop satellite networks"):
  with members:
    - "traffic allocation for low latency multi hop networks with buffers"
    - "update or wait how to keep your data fresh"

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)