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: "maximizing cloud providers revenues via energy aware allocation policies"
  Abstract: Cloud providers, like Amazon, offer their data centers' computational and storage capacities for lease to paying customers. High electricity consumption, associated with running a data center, not only reflects on its carbon footprint, but also increases the costs of running the data center itself. This paper addresses the problem of maximizing the revenues of Cloud providers by trimming down their electricity costs. As a solution allocation policies which are based on the dynamic powering servers on and off are introduced and evaluated. The policies aim at satisfying the conflicting goals of maximizing the users' experience while minimizing the amount of consumed electricity. The results of numerical experiments and simulations are described, showing that the proposed scheme performs well under different traffic conditions.

Connected through hyperedge HE-1 (induced by source paper "optimal asynchronous dynamic policies in energy efficient data centers"):
  with members:
    - "group server queues"
    - "exact solutions for m m c setup queues"
    - "profit aware server allocation for green internet services"

Connected through hyperedge HE-2 (induced by source paper "resource provisioning in science clouds requirements and challenges"):
  with members:
    - "the anatomy of big data computing"
    - "phenomenology tools on cloud infrastructures using openstack"
    - "patience aware scheduling for cloud services freeing users from the chains of boredom"
    - "reliable provisioning of spot instances for compute intensive applications"
    - "workload classification a software energy measurement for efficient scheduling on private cloud platforms"
    - "provisioning spot market cloud resources to create cost effective virtual clusters"
    - "energy efficient management of data center resources for cloud computing a vision architectural elements and open challenges"
    - "cloud computing and grid computing 360 degree compared"

Connected through hyperedge HE-3 (induced by source paper "group server queues"):
  with members:
    - "energy aware traffic offloading for green heterogeneous networks"
    - "multi resource energy efficient routing in cloud data centers with networks as a service"
    - "correlating power consumption and network traffic for improving data centers resiliency"
    - "reducing electricity demand charge for data centers with partial execution"
    - "profit aware server allocation for green internet services"
    - "on allocation policies for power and performance"

Connected through hyperedge HE-4 (induced by source paper "energy aware load balancing policies for the cloud ecosystem"):
  with members:
    - "energy aware application scaling on a cloud"

Connected through hyperedge HE-5 (induced by source paper "energy aware application scaling on a cloud"):
  with members:
    - "clustering algorithms for scale free networks and applications to cloud resource management"
    - "intercloud utility oriented federation of cloud computing environments for scaling of application services"

Connected through hyperedge HE-6 (induced by source paper "reserved or on demand instances a revenue maximization model for cloud providers"):
  with members:
    - "profit aware server allocation for green internet services"
    - "on allocation policies for power and performance"

Connected through hyperedge HE-7 (induced by source paper "profit aware server allocation for green internet services"):
  with members:
    - "towards autonomic service provisioning systems"

Connected through hyperedge HE-8 (induced by source paper "power efficient resource allocation for clouds using ant colony framework"):
  with members:
    - "energy efficient management of data center resources for cloud computing a vision architectural elements and open challenges"

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)