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: "mathbb echo an adaptive orchestration platform for hybrid dataflows across cloud and edge"
  Abstract: The Internet of Things (IoT) is offering unprecedented observational data that are used for managing Smart City utilities. Edge and Fog gateway devices are an integral part of IoT deployments to acquire real-time data and enact controls. Recently, Edge-computing is emerging as first-class paradigm to complement Cloud-centric analytics. But a key limitation is the lack of a platform-as-a-service for applications spanning Edge and Cloud. Here, we propose \(\mathbb {ECHO}\), an orchestration platform for dataflows across distributed resources. \(\mathbb {ECHO}\) ’s hybrid dataflow composition can operate on diverse data models – streams, micro-batches and files, and interface with native runtime engines like TensorFlow and Storm to execute them. It manages the application’s lifecycle, including container-based deployment and a registry for state management. \(\mathbb {ECHO}\) can schedule the dataflow on different Edge, Fog and Cloud resources, and also perform dynamic task migration between resources. We validate the \(\mathbb {ECHO}\) platform for executing video analytics and sensor streams for Smart Traffic and Smart Utility applications on Raspberry Pi, NVidia TX1, ARM64 and Azure Cloud VM resources, and present our results.

Connected through hyperedge HE-1 (induced by source paper "elfstore a resilient data storage service for federated edge and fog resources"):
  with members:
    - "violet a large scale virtual environment for internet of things"
    - "fogstore toward a distributed data store for fog computing"
    - "ipfs content addressed versioned p2p file system"
    - "sensing as a service model for smart cities supported by internet of things"

Connected through hyperedge HE-2 (induced by source paper "the internet of things fog and cloud continuum integration and challenges"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "network slicing based 5g and future mobile networks mobility resource management and challenges"
    - "an iot endpoint system on chip for secure and energy efficient near sensor analytics"
    - "energy efficient resource allocation for mobile edge computation offloading"
    - "from network sharing to multi tenancy the 5g network slice broker"
    - "an internet of things framework for smart energy in buildings designs prototype and experiments"
    - "internet of things iot a vision architectural elements and future directions"
    - "optimal power cost management using stored energy in data centers"

Connected through hyperedge HE-3 (induced by source paper "violet a large scale virtual environment for internet of things"):
  with members:
    - "demystifying fog computing characterizing architectures applications and abstractions"
    - "riotbench a real time iot benchmark for distributed stream processing platforms"
    - "plug and play bench simplifying big data benchmarking using containers"
    - "distributed scheduling of event analytics across edge and cloud"
    - "fog computing principles architectures and applications"

Connected through hyperedge HE-4 (induced by source paper "towards a data driven iot software architecture for smart city utilities"):
  with members:
    - "demystifying fog computing characterizing architectures applications and abstractions"
    - "distributed scheduling of event analytics across edge and cloud"
    - "internet of things iot a vision architectural elements and future directions"

Connected through hyperedge HE-5 (induced by source paper "big data and fog computing"):
  with members:
    - "knowledge infused and consistent complex event processing over real time and persistent streams"
    - "demystifying fog computing characterizing architectures applications and abstractions"
    - "a berkeley view of systems challenges for ai"
    - "the internet of flying things opportunities and challenges with airborne fog computing and mobile cloud in the clouds"
    - "internet of things iot a vision architectural elements and future directions"

Connected through hyperedge HE-6 (induced by source paper "collaborative reuse of streaming dataflows in iot applications"):
  with members:
    - "riotbench a real time iot benchmark for distributed stream processing platforms"
    - "holistic measures for evaluating prediction models in smart grids"
    - "sensing as a service model for smart cities supported by internet of things"

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)