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 "resource provisioning in science clouds requirements and challenges"):
  Abstract: Cloud computing has permeated into the information technology industry in the last few years, and it is emerging nowadays in scientific environments. Science user communities are demanding a broad range of computing power to satisfy the needs of high-performance applications, such as local clusters, high-performance computing systems, and computing grids. Different workloads are needed from different computational models, and the cloud is already considered as a promising paradigm. The scheduling and allocation of resources is always a challenging matter in any form of computation and clouds are not an exception. Science applications have unique features that differentiate their workloads, hence, their requirements have to be taken into consideration to be fulfilled when building a Science Cloud. This paper will discuss what are the main scheduling and resource allocation challenges for any Infrastructure as a Service provider supporting scientific applications.

Includes members:
  Member "the anatomy of big data computing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "joint communication computation caching and control in big data multi access edge computing")
  Member "phenomenology tools on cloud infrastructures using openstack":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "orchestrating complex application architectures in heterogeneous clouds")
  Member "patience aware scheduling for cloud services freeing users from the chains of boredom":
    also connected through other hyperedges:
      (none)
  Member "maximizing cloud providers revenues via energy aware allocation policies":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "optimal asynchronous dynamic policies in energy efficient data centers")
  Member "reliable provisioning of spot instances for compute intensive applications":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "characterizing application scheduling on edge fog and cloud computing resources")
  Member "workload classification a software energy measurement for efficient scheduling on private cloud platforms":
    also connected through other hyperedges:
      (none)
  Member "provisioning spot market cloud resources to create cost effective virtual clusters":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "an efficient cloud scheduler design supporting preemptible instances")
  Member "energy efficient management of data center resources for cloud computing a vision architectural elements and open challenges":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a manifesto for future generation cloud computing research directions for the next decade")

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)