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 "energy aware application scaling on a cloud"):
  Abstract: Abstract Cloud elasticity - the ability to use as much resources asneeded at any given time - and low cost - a user pays onlyfor the resources it consumes - represent solid incentives formany organizations to migrate some of their computationalactivities to a public cloud. As the interest in cloud comput-ing grows, so does the size of the cloud computing centersand their energy footprint. The realization that power con-sumption of cloud computing centers is signiﬁcant and it isexpected to increase substantially in the future motivates ourinterest in scheduling and scaling algorithms which minimizepower consumption. We propose energy-aware applicationscaling and resource management algorithms. Though tar-geting primarily the Infrastructure as a Service (IaaS), thesystem models and the algorithms we propose can be appliedto the other cloud delivery models and to private clouds. 1 Introduction The power consumption of large-scale data centers and theircosts for energy and for cooling are signiﬁcant and are ex-pected to increase in the future. In 2006, the 6000 data cen-ters in the U.S. reportedly consumed 61×10

Includes members:
  Member "clustering algorithms for scale free networks and applications to cloud resource management":
    also connected through other hyperedges:
      (none)
  Member "maximizing cloud providers revenues via energy aware allocation policies":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "optimal asynchronous dynamic policies in energy efficient data centers")
  Member "intercloud utility oriented federation of cloud computing environments for scaling of application services":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "performance analytical comparison of blockchain as a service baas platforms")

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)