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: "energy efficient scheduling of cloud application components with brownout"
  Abstract: It is common for cloud data centers meeting unexpected loads like request bursts, which may lead to overloaded situation and performance degradation. Dynamic Voltage Frequency Scaling and VM consolidation have been proved effective to manage overloads. However, they cannot function when the whole data center is overloaded. Brownout provides a promising direction to avoid overloads through configuring applications to temporarily degrade user experience. Additionally, brownout can also be applied to reduce data center energy consumption. As a complementary option for Dynamic Voltage Frequency Scaling and VM consolidation, our combined brownout approach reduces energy consumption through selectively and dynamically deactivating application optional components, which can also be applied to self-contained microservices. The results show that our approach can save more than 20 percent energy consumption and there are trade-offs between energy saving and discount offered to users.

Connected through hyperedge HE-1 (induced by source paper "ibrownout an integrated approach for managing energy and brownout in container based clouds"):
  with members:
    - "energy efficient scheduling of application components via brownout and approximate markov decision process"
    - "dynamic virtual machine management via approximate markov decision process"
    - "market oriented cloud computing vision hype and reality for delivering it services as computing utilities"

Connected through hyperedge HE-2 (induced by source paper "a taxonomy and future directions for sustainable cloud computing 360 degree view"):
  with members:
    - "sustainable cloud computing foundations and future directions"
    - "multi objective dynamic virtual machine consolidation in the cloud using ant colony system"
    - "energy throughput tradeoff in sustainable cloud ran with energy harvesting"
    - "software platforms for smart cities concepts requirements challenges and a unified reference architecture"
    - "optimized thermal aware job scheduling and control of data centers"
    - "sustainability aware cloud computing using virtual carbon tax"
    - "improve the sustainability of internet of things through trading based value creation"
    - "energy efficient and thermal aware resource management for heterogeneous datacenters"

Connected through hyperedge HE-3 (induced by source paper "energy efficient scheduling of application components via brownout and approximate markov decision process"):
  with members:
    - "dynamic virtual machine management via approximate markov decision process"

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)