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: "task replication for deadline constrained vehicular cloud computing optimal policy performance analysis and implications on road traffic"
  Abstract: In vehicular cloud computing (VCC) systems, the computational resources of moving vehicles are exploited and managed by infrastructures, e.g., roadside units, to provide computational services. The offloading of computational tasks and collection of results rely on successful transmissions between vehicles and infrastructures during encounters. In this paper, we investigate how to provide timely computational services in VCC systems. In particular, we seek to minimize the deadline violation probability given a set of tasks to be executed in vehicular clouds. Due to the uncertainty of vehicle movements, the task replication methodology is leveraged which allows one task to be executed by several vehicles, and thus trading computational resources for delay reduction. The optimal task replication policy is of key interest. We first formulate the problem as a finite-horizon sampled-time Markov decision problem and obtain the optimal policy by value iterations. To conquer the complexity issue, we propose the balanced-task-assignment (BETA) policy which is proved optimal and has a clear structure: it always assigns the task with the minimum number of replicas. Moreover, a tight closed-form performance upper bound for the BETA policy is derived, which indicates that the deadline violation probability follows the Rayleigh distribution approximately. Applying the vehicle speed-density relationship in the traffic flow theory, we find that vehicle mobility benefits VCC systems more compared with road traffic systems, by showing that the optimum vehicle speed to minimize the deadline violation probability is larger than the critical vehicle speed in traffic theory which maximizes traffic flow efficiency.

Connected through hyperedge HE-1 (induced by source paper "age of information optimized mac in v2x sidelink via piggyback based collaboration"):
  with members:
    - "ai assisted low information latency wireless networking"
    - "analytical models of the performance of c v2x mode 4 vehicular communications"
    - "hierarchical soft slicing to meet multi dimensional qos demand in cache enabled vehicular networks"
    - "minimizing the age of information in a csma environment"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "can decentralized status update achieve universally near optimal age of information in wireless multiaccess channels"
    - "study of the impact of phy and mac parameters in 3gpp c v2v mode 4"
    - "distributed scheduling algorithms for optimizing information freshness in wireless networks"

Connected through hyperedge HE-2 (induced by source paper "distributed task replication for vehicular edge computing performance analysis and learning based algorithm"):
  with members:
    - "adaptive learning based task offloading for vehicular edge computing systems"
    - "exploiting moving intelligence delay optimized computation offloading in vehicular fog networks"
    - "heterogeneous coded computation across heterogeneous workers"
    - "hierarchical coded computation"
    - "speeding up distributed machine learning using codes"
    - "dense moving fog for intelligent iot key challenges and opportunities"
    - "learning based task offloading for vehicular cloud computing systems"
    - "a survey on mobile edge computing the communication perspective"

Connected through hyperedge HE-3 (induced by source paper "adaptive learning based task offloading for vehicular edge computing systems"):
  with members:
    - "learning based task offloading for vehicular cloud computing systems"
    - "adaptive exploration exploitation tradeoff for opportunistic bandits"
    - "a survey on mobile edge computing the communication perspective"
    - "emm energy aware mobility management for mobile edge computing in ultra dense networks"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "a non stochastic learning approach to energy efficient mobility management"
    - "vehicle to vehicle communications with urban intersection path loss models"
    - "energy efficient resource allocation for mobile edge computation offloading"

Connected through hyperedge HE-4 (induced by source paper "exploiting moving intelligence delay optimized computation offloading in vehicular fog networks"):
  with members:
    - "learning based task offloading for vehicular cloud computing systems"
    - "coding for distributed fog computing"
    - "a survey on mobile edge computing the communication perspective"
    - "towards low latency and ultra reliable vehicle to vehicle communication"
    - "effect of user mobility on the performance of device to device networks with distributed caching"
    - "effect of retransmissions on optimal caching in cache enabled small cell networks"

Connected through hyperedge HE-5 (induced by source paper "hidden vehicles positioning via asynchronous v2v transmission a multi path geometry approach"):
  with members:
    - "millimeter wave v2v communications distributed association and beam alignment"
    - "inverse multipath fingerprinting for millimeter wave v2i beam alignment"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "the impact of beamwidth on temporal channel variation in vehicular channels and its implications"
    - "spatial compressive sensing for mimo radar"
    - "communication using a large scale array of ubiquitous antennas a geometry approach"

Connected through hyperedge HE-6 (induced by source paper "timely status update in massive iot systems decentralized scheduling for wireless uplinks"):
  with members:
    - "status updates through m g 1 1 queues with harq"
    - "update or wait how to keep your data fresh"
    - "optimizing data freshness throughput and delay in multi server information update systems"
    - "the age of information real time status updating by multiple sources"
    - "on the age of information in status update systems with packet management"
    - "what will 5g be"

Connected through hyperedge HE-7 (induced by source paper "task replication for vehicular edge computing a combinatorial multi armed bandit based approach"):
  with members:
    - "air ground integrated vehicular network slicing with content pushing and caching"
    - "a survey on mobile edge computing the communication perspective"
    - "combinatorial multi armed bandit with general reward functions"
    - "vehicle to vehicle communications with urban intersection path loss models"

Connected through hyperedge HE-8 (induced by source paper "vehicular edge cloud computing depressurize the intelligent vehicles onboard computational power"):
  with members:
    - "a survey on mobile edge computing the communication perspective"
    - "energy efficient resource allocation for mobile edge computation offloading"
    - "efficient multi user computation offloading for mobile edge cloud computing"

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.IT(Information Theory)