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 service caching and task offloading for mobile edge computing in dense networks"
  Abstract: Mobile Edge Computing (MEC) pushes computing functionalities away from the centralized cloud to the network edge, thereby meeting the latency requirements of many emerging mobile applications and saving backhaul network bandwidth. Although many existing works have studied computation offloading policies, service caching is an equally, if not more important, design topic of MEC, yet receives much less attention. Service caching refers to caching application services and their related databases/libraries in the edge server (e.g. MEC-enabled BS), thereby enabling corresponding computation tasks to be executed. Because only a small number of application services can be cached in resource-limited edge server at the same time, which services to cache has to be judiciously decided to maximize the edge computing performance. In this paper, we investigate the extremely compelling but much less studied problem of dynamic service caching in MEC-enabled dense cellular networks. We propose an efficient online algorithm, called OREO, which jointly optimizes dynamic service caching and task offloading to address a number of key challenges in MEC systems, including service heterogeneity, unknown system dynamics, spatial demand coupling and decentralized coordination. Our algorithm is developed based on Lyapunov optimization and Gibbs sampling, works online without requiring future information, and achieves provable close-to-optimal performance. Simulation results show that our algorithm can effectively reduce computation latency for end users while keeping energy consumption low.

Connected through hyperedge HE-1 (induced by source paper "cooperative service caching and workload scheduling in mobile edge computing"):
  with members:
    - "computation peer offloading for energy constrained mobile edge computing in small cell networks"
    - "dynamic service placement for mobile micro clouds with predicted future costs"

Connected through hyperedge HE-2 (induced by source paper "joint optimization of service caching placement and computation offloading in mobile edge computing system"):
  with members:
    - "joint service placement and request routing in multi cell mobile edge computing networks"
    - "spatio temporal edge service placement a bandit learning approach"
    - "deep reinforcement learning for online computation offloading in wireless powered mobile edge computing networks"
    - "price based distributed offloading for mobile edge computing with computation capacity constraints"
    - "a survey on mobile edge computing the communication perspective"
    - "energy efficient resource allocation for cache assisted mobile edge computing"
    - "joint offloading and computing optimization in wireless powered mobile edge computing systems"
    - "live prefetching for mobile computation offloading"

Connected through hyperedge HE-3 (induced by source paper "budget constrained edge service provisioning with demand estimation via bandit learning"):
  with members:
    - "spatio temporal edge service placement a bandit learning approach"
    - "a survey on mobile edge computing the communication perspective"
    - "computation peer offloading for energy constrained mobile edge computing in small cell networks"
    - "socially trusted collaborative edge computing in ultra dense networks"
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "adaptive ensemble learning with confidence bounds"
    - "distributed online learning via cooperative contextual bandits"
    - "a contextual bandit approach to personalized news article recommendation"

Connected through hyperedge HE-4 (induced by source paper "okpi all kpi network slicing through efficient resource allocation"):
  with members:
    - "a utility driven multi queue admission control solution for network slicing"
    - "getting the most out of your vnfs flexible assignment of service priorities in 5g"
    - "joint service placement and request routing in multi cell mobile edge computing networks"
    - "vnf placement and resource allocation for the support of vertical services in 5g networks"
    - "jasper joint optimization of scaling placement and routing of virtual network services"
    - "z torch an automated nfv orchestration and monitoring solution"
    - "provably efficient algorithms for joint placement and allocation of virtual network functions"
    - "approximate and incremental network function placement"

Connected through hyperedge HE-5 (induced by source paper "retrorenting an online policy for service caching at the edge"):
  with members:
    - "budget constrained edge service provisioning with demand estimation via bandit learning"
    - "service placement with provable guarantees in heterogeneous edge computing systems"
    - "joint optimization of service caching placement and computation offloading in mobile edge computing system"
    - "a survey on mobile edge computing the communication perspective"
    - "collaborative service caching for edge computing in dense small cell networks"
    - "a comprehensive survey on fog computing state of the art and research challenges"
    - "dynamic service migration in mobile edge clouds"
    - "optimal content placement for peer to peer video on demand systems"

Connected through hyperedge HE-6 (induced by source paper "a deep reinforcement learning approach to multi component job scheduling in edge computing"):
  with members:
    - "learning scheduling algorithms for data processing clusters"
    - "model free control for distributed stream data processing using deep reinforcement learning"
    - "device placement optimization with reinforcement learning"
    - "a game theoretic framework for revenue sharing in edge cloud computing system"
    - "deep reinforcement learning in large discrete action spaces"
    - "continuous control with deep reinforcement learning"

Connected through hyperedge HE-7 (induced by source paper "energy efficient proactive caching for fog computing with correlated task arrivals"):
  with members:
    - "multi user multi task offloading and resource allocation in mobile cloud systems"
    - "proactive edge computing in latency constrained fog networks"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "joint offloading and computing optimization in wireless powered mobile edge computing systems"
    - "dynamic computation offloading for mobile edge computing with energy harvesting devices"
    - "living on the edge the role of proactive caching in 5g wireless networks"

Connected through hyperedge HE-8 (induced by source paper "service placement with provable guarantees in heterogeneous edge computing systems"):
  with members:
    - "a survey on mobile edge computing the communication perspective"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "dynamic service placement for mobile micro clouds with predicted future costs"
    - "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.DC(Distributed, Parallel, and Cluster Computing)