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: "online learning for offloading and autoscaling in renewable powered mobile edge computing"
  Abstract: Mobile edge computing (a.k.a. fog computing) has recently emerged to enable \emph{in-situ} processing of delay-sensitive applications at the edge of mobile networks. Providing grid power supply in support of mobile edge computing, however, is costly and even infeasible (in certain rugged or under-developed areas), thus mandating on-site renewable energy as a major or even sole power supply in increasingly many scenarios. Nonetheless, the high intermittency and unpredictability of renewable energy make it very challenging to deliver a high quality of service to users in renewable-powered mobile edge computing systems. In this paper, we address the challenge of incorporating renewables into mobile edge computing and propose an efficient reinforcement learning-based resource management algorithm, which learns on-the-fly the optimal policy of dynamic workload offloading (to centralized cloud) and edge server provisioning to minimize the long-term system cost (including both service delay and operational cost). Our online learning algorithm uses a decomposition of the (offline) value iteration and (online) reinforcement learning, thus achieving a significant improvement of learning rate and run-time performance when compared to standard reinforcement learning algorithms such as Q-learning.

Connected through hyperedge HE-1 (induced by source paper "edge computing enabled smart cities a comprehensive survey"):
  with members:
    - "a federated capability based access control mechanism for internet of things iots"
    - "cache enabled hetnets with millimeter wave small cells"
    - "energy efficient joint offloading and wireless resource allocation strategy in multi mec server systems"
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "a game theoretic approach to multi objective resource sharing and allocation in mobile edge"
    - "air ground integrated vehicular network slicing with content pushing and caching"
    - "a taxonomy for management and optimization of multiple resources in edge computing"
    - "toward low latency and ultra reliable virtual reality"

Connected through hyperedge HE-2 (induced by source paper "energy efficient joint offloading and wireless resource allocation strategy in multi mec server systems"):
  with members:
    - "a survey on mobile edge computing the communication perspective"
    - "e2m2 energy efficient mobility management in dense small cells with mobile edge computing"
    - "joint offloading and computing optimization in wireless powered mobile edge computing systems"
    - "a fundamental tradeoff between computation and communication in distributed computing"
    - "joint subcarrier and cpu time allocation for mobile edge computing"
    - "computation offloading decisions for reducing completion time"
    - "joint optimization of radio and computational resources for multicell mobile edge computing"
    - "joint optimization of radio resources and code partitioning in mobile cloud computing"

Connected through hyperedge HE-3 (induced by source paper "a survey on mobile edge computing the communication perspective"):
  with members:
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "joint energy minimization and resource allocation in c ran with mobile cloud"
    - "latency optimization for resource allocation in mobile edge computation offloading"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "proactive edge computing in latency constrained fog networks"
    - "computation peer offloading for energy constrained mobile edge computing in small cell networks"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "online placement of multi component applications in edge computing environments"

Connected through hyperedge HE-4 (induced by source paper "socially trusted collaborative edge computing in ultra dense networks"):
  with members:
    - "online learning for offloading and autoscaling in energy harvesting mobile edge computing"
    - "a survey on mobile edge computing the communication perspective"
    - "a cooperative scheduling scheme of local cloud and internet cloud for delay aware mobile cloud computing"
    - "what will 5g be"
    - "optimization of radio and computational resources for energy efficiency in latency constrained application offloading"
    - "coalitional games with overlapping coalitions for interference management in small cell networks"
    - "coalition formation games for collaborative spectrum sensing"
    - "belief propagation methods for intercell interference coordination"

Connected through hyperedge HE-5 (induced by source paper "online learning for offloading and autoscaling in energy harvesting mobile edge computing"):
  with members:
    - "a survey on mobile edge computing the communication perspective"
    - "socially trusted collaborative edge computing in ultra dense networks"
    - "dynamic computation offloading for mobile edge computing with energy harvesting devices"
    - "energy harvesting wireless communications a review of recent advances"
    - "a traffic load balancing framework for software defined radio access networks powered by hybrid energy sources"

Connected through hyperedge HE-6 (induced by source paper "energy efficient mobile edge computing in dense cellular networks"):
  with members:
    - "joint optimization of radio and computational resources for multicell mobile edge 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)