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 "an efficient cloud scheduler design supporting preemptible instances"):
  Abstract: Abstract   Maximizing resource utilization by performing an efficient resource provisioning is a key factor for any cloud provider: commercial actors can maximize their revenues, whereas scientific and non-commercial providers can maximize their infrastructure utilization. Traditionally, batch systems have allowed data centers to fill their resources as much as possible by using backfilling and similar techniques. However, in an IaaS cloud, where virtual machines are supposed to live indefinitely, or at least as long as the user is able to pay for them, these policies are not easily implementable. In this work we present a new scheduling algorithm for IaaS providers that is able to support preemptible instances, that can be stopped by higher priority requests without introducing large modifications in the current cloud schedulers. This scheduler enables the implementation of new cloud usage and payment models that allow more efficient usage of the resources and potential new revenue sources for commercial providers. We also study the correctness and the performance overhead of the proposed scheduler against existing solutions.

Includes members:
  Member "resource provisioning in science clouds requirements and challenges":
    also connected through other hyperedges:
      (none)
  Member "improved cloud resource allocation how indigo datacloud is overcoming the current limitations in cloud schedulers":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "orchestrating complex application architectures in heterogeneous clouds")
  Member "efficient image deployment in cloud environments":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "genomics as a service a joint computing and networking perspective")
  Member "application centric resource provisioning for amazon ec2 spot instances":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "spot pricing in the cloud ecosystem a comparative investigation")
  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 "provisioning spot market cloud resources to create cost effective virtual clusters":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "resource provisioning in science clouds requirements and challenges")
  Member "cloud computing and grid computing 360 degree compared":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "anchoring the value of cryptocurrency")

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)