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: "challenges and opportunities in edge computing"
  Abstract: Many cloud-based applications employ a data centre as a central server to process data that is generated by edge devices, such as smartphones, tablets and wearables. This model places ever increasing demands on communication and computational infrastructure with inevitable adverse effect on Quality-of-Service and Experience. The concept of Edge Computing is predicated on moving some of this computational load towards the edge of the network to harness computational capabilities that are currently untapped in edge nodes, such as base stations, routers and switches. This position paper considers the challenges and opportunities that arise out of this new direction in the computing landscape.

Connected through hyperedge HE-1 (induced by source paper "context aware distribution of fog applications using deep reinforcement learning"):
  with members:
    - "feasibility of fog computing"
    - "defog fog computing benchmarks"
    - "joint communication computation caching and control in big data multi access edge computing"
    - "online learning for offloading and autoscaling in energy harvesting mobile edge computing"
    - "enorm a framework for edge node resource management"
    - "fog radio access networks mobility management interference mitigation and resource optimization"
    - "a survey and taxonomy of resource optimisation for executing bag of task applications on public clouds"
    - "decentralized computation offloading game for mobile cloud computing"

Connected through hyperedge HE-2 (induced by source paper "modelling fog offloading performance"):
  with members:
    - "performance estimation of container based cloud to fog offloading"
    - "defog fog computing benchmarks"
    - "resource management in fog edge computing a survey"
    - "live service migration in mobile edge clouds"
    - "on reducing iot service delay via fog offloading"
    - "enorm a framework for edge node resource management"

Connected through hyperedge HE-3 (induced by source paper "priority based fair scheduling in edge computing"):
  with members:
    - "distributed and application aware task scheduling in edge clouds"
    - "dyverse dynamic vertical scaling in multi tenant edge environments"
    - "enorm a framework for edge node resource management"
    - "fog computing focusing on mobile users at the edge"

Connected through hyperedge HE-4 (induced by source paper "defog fog computing benchmarks"):
  with members:
    - "cloud benchmarking for maximising performance of scientific applications"
    - "cavbench a benchmark suite for connected and autonomous vehicles"
    - "yolov3 an incremental improvement"
    - "edgebench benchmarking edge computing platforms"
    - "enorm a framework for edge node resource management"
    - "doclite a docker based lightweight cloud benchmarking tool"
    - "container based cloud virtual machine benchmarking"
    - "you only look once unified real time object detection"

Connected through hyperedge HE-5 (induced by source paper "iperftz understanding network bottlenecks for trustzone based trusted applications"):
  with members:
    - "using trusted execution environments for secure stream processing of medical data"
    - "streambox tz secure stream analytics at the edge with trustzone"
    - "on the performance of arm trustzone"
    - "developing secure services for iot with op tee a first look at performance and usability"
    - "spectre attacks exploiting speculative execution"
    - "teechan payment channels using trusted execution environments"
    - "open tee an open virtual trusted execution environment"

Connected through hyperedge HE-6 (induced by source paper "a survey of phase classification techniques for characterizing variable application behavior"):
  with members:
    - "demystifying parallel and distributed deep learning an in depth concurrency analysis"

Connected through hyperedge HE-7 (induced by source paper "dyverse dynamic vertical scaling in multi tenant edge environments"):
  with members:
    - "performance estimation of container based cloud to fog offloading"
    - "feasibility of fog computing"
    - "defog fog computing benchmarks"
    - "realizing edge marketplaces challenges and opportunities"
    - "a survey on mobile edge computing the communication perspective"
    - "enorm a framework for edge node resource management"
    - "joint subcarrier and cpu time allocation for mobile edge computing"
    - "dynamic computation offloading for mobile edge computing with energy harvesting devices"

Connected through hyperedge HE-8 (induced by source paper "addressing the challenges in federating edge resources"):
  with members:
    - "online learning for offloading and autoscaling in energy harvesting mobile edge computing"
    - "enorm a framework for edge node resource management"
    - "edge as a service towards distributed cloud architectures"
    - "dynamic service migration in mobile edge clouds"
    - "software defined networking state of the art and research challenges"

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)