human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "characterizing application scheduling on edge fog and cloud computing resources"):
  Abstract: Cloud computing has grown to become a popular distributed computing service offered by commercial providers. More recently, Edge and Fog computing resources have emerged on the wide-area network as part of Internet of Things (IoT) deployments. These three resource abstraction layers are complementary, and provide distinctive benefits. Scheduling applications on clouds has been an active area of research, with workflow and dataflow models serving as a flexible abstraction to specify applications for execution. However, the application programming and scheduling models for edge and fog are still maturing, and can benefit from learnings on cloud resources. At the same time, there is also value in using these resources cohesively for application execution. In this article, we present a taxonomy of concepts essential for specifying and solving the problem of scheduling applications on edge, for and cloud computing resources. We first characterize the resource capabilities and limitations of these infrastructure, and design a taxonomy of application models, Quality of Service (QoS) constraints and goals, and scheduling techniques, based on a literature review. We also tabulate key research prototypes and papers using this taxonomy. This survey benefits developers and researchers on these distributed resources in designing and categorizing their applications, selecting the relevant computing abstraction(s), and developing or selecting the appropriate scheduling algorithm. It also highlights gaps in literature where open problems remain.

Includes members:
  Member "violet a large scale virtual environment for internet of things":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "elfstore a resilient data storage service for federated edge and fog resources")
  Member "adaptive energy aware scheduling of dynamic event analytics across edge and cloud resources":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "energy efficient algorithms based on vm consolidation for cloud computing comparisons and evaluations")
  Member "slaq quality driven scheduling for distributed machine learning":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "hypersched dynamic resource reallocation for model development on a deadline")
  Member "arm wrestling with big data a study of commodity arm64 server for big data workloads":
    also connected through other hyperedges:
      (none)
  Member "a manifesto for future generation cloud computing research directions for the next decade":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "energy efficient algorithms based on vm consolidation for cloud computing comparisons and evaluations")
  Member "demystifying fog computing characterizing architectures applications and abstractions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "fog to cloud and network coded based architecture minimizing data download time for smart mobility")
  Member "mobile edge computing a survey on architecture and computation offloading":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "fog computing systems state of the art research issues and future trends")
  Member "big data and fog computing":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a scalable framework for distributed object tracking across a many camera network")

Question: Please tell me which class the source paper 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)