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: "cloud migration a case study of migrating an enterprise it system to iaas"
  Abstract: This case study illustrates the potential benefits and risks associated with the migration of an IT system in the oil & gas industry from an in-house data center to Amazon EC2 from a broad variety of stakeholder perspectives across the enterprise, thus transcending the typical, yet narrow, financial and technical analysis offered by providers. Our results show that the system infrastructure in the case study would have cost 37% less over 5 years on EC2, and using cloud computing could have potentially eliminated 21% of the support calls for this system. These findings seem significant enough to call for a migration of the system to the cloud but our stakeholder impact analysis revealed that there are significant risks associated with this. Whilst the benefits of using the cloud are attractive, we argue that it is important that enterprise decision-makers consider the overall organizational implications of the changes brought about with cloud computing to avoid implementing local optimizations at the cost of organization-wide performance.

Connected through hyperedge HE-1 (induced by source paper "micky a cheaper alternative for selecting cloud instances"):
  with members:
    - "finding faster configurations using flash"
    - "scout an experienced guide to find the best cloud configuration"
    - "using bad learners to find good configurations"
    - "bestconfig tapping the performance potential of systems via automatic configuration tuning"
    - "fast bayesian optimization of machine learning hyperparameters on large datasets"
    - "reinforcement learning a survey"

Connected through hyperedge HE-2 (induced by source paper "recent developments in cloud based systems state of art"):
  with members:
    - "performance measurement of cloud computing services"
    - "building confidential and efficient query services in the cloud with rasp data perturbation"
    - "piql success tolerant query processing in the cloud"

Connected through hyperedge HE-3 (induced by source paper "identifying benefits and risks associated with utilizing cloud computing"):
  with members:
    - "digital ecosystems in the clouds towards community cloud computing"

Connected through hyperedge HE-4 (induced by source paper "cloud forensics a meta study of challenges approaches and open problems"):
  with members:
    - "calm before the storm the challenges of cloud computing in digital forensics"

Connected through hyperedge HE-5 (induced by source paper "seclaas secure logging as a service for cloud forensics"):
  with members:
    - "calm before the storm the challenges of cloud computing in digital forensics"

Connected through hyperedge HE-6 (induced by source paper "decision support tools for cloud migration in the enterprise"):
  with members:
    - "research challenges for enterprise cloud computing"
    - "the cloud adoption toolkit supporting cloud adoption decisions in the enterprise"

Connected through hyperedge HE-7 (induced by source paper "the cloud adoption toolkit addressing the challenges of cloud adoption in enterprise"):
  with members:
    - "research challenges for enterprise cloud computing"
    - "research agenda in cloud technologies"

Connected through hyperedge HE-8 (induced by source paper "towards constraint based high performance cloud system in the process of cloud computing adoption in an organization"):
  with members:
    - "intercloud utility oriented federation of cloud computing environments for scaling of application services"
    - "the cloud adoption toolkit supporting cloud adoption decisions in the enterprise"

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)