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: "sla oriented resource provisioning for cloud computing challenges architecture and solutions"
  Abstract: Cloud computing systems promise to offer subscription-oriented, enterprise-quality computing services to users worldwide. With the increased demand for delivering services to a large number of users, they need to offer differentiated services to users and meet their quality expectations. Existing resource management systems in data centers are yet to support Service Level Agreement (SLA)-oriented resource allocation, and thus need to be enhanced to realize cloud computing and utility computing. In addition, no work has been done to collectively incorporate customer-driven service management, computational risk management, and autonomic resource management into a market-based resource management system to target the rapidly changing enterprise requirements of Cloud computing. This paper presents vision, challenges, and architectural elements of SLA-oriented resource management. The proposed architecture supports integration of market-based provisioning policies and virtualisation technologies for flexible allocation of resources to applications. The performance results obtained from our working prototype system shows the feasibility and effectiveness of SLA-based resource provisioning in Clouds.

Connected through hyperedge HE-1 (induced by source paper "optimal design of queuing systems via compositional stochastic programming"):
  with members:
    - "learning and management for internet of things accounting for adaptivity and scalability"
    - "stochastic gradient descent with biased but consistent gradient estimators"

Connected through hyperedge HE-2 (induced by source paper "feasibility of fog computing"):
  with members:
    - "academic cloud computing research five pitfalls and five opportunities"
    - "cloud benchmarking for performance"

Connected through hyperedge HE-3 (induced by source paper "a manifesto for future generation cloud computing research directions for the next decade"):
  with members:
    - "cloud benchmarking for maximising performance of scientific applications"
    - "hpc cloud for scientific and business applications taxonomy vision and research challenges"
    - "in datacenter performance analysis of a tensor processing unit"
    - "knowledge infused and consistent complex event processing over real time and persistent streams"
    - "enorm a framework for edge node resource management"
    - "serverless computing current trends and open problems"
    - "demystifying fog computing characterizing architectures applications and abstractions"
    - "snafu function as a service faas runtime design and implementation"

Connected through hyperedge HE-4 (induced by source paper "next generation cloud computing new trends and research directions"):
  with members:
    - "occupy the cloud distributed computing for the 99"
    - "on using micro clouds to deliver the fog"
    - "multi tenant virtual gpus for optimising performance of a financial risk application"
    - "big graph search challenges and techniques"
    - "cloudrone micro clouds in the sky"
    - "cloud services brokerage a survey and research roadmap"
    - "acceleration as a service exploiting virtualised gpus for a financial application"
    - "big data computing and clouds"

Connected through hyperedge HE-5 (induced by source paper "virtual machine migration enabled cloud resource management a challenging task"):
  with members:
    - "cost of virtual machine live migration in clouds a performance evaluation"

Connected through hyperedge HE-6 (induced by source paper "delivering it as a utility a systematic review"):
  with members:
    - "service level agreement sla in utility computing systems"
    - "market oriented cloud computing vision hype and reality for delivering it services as computing utilities"
    - "cloud computing and grid computing 360 degree compared"
    - "utility computing and global grids"
    - "the gridbus toolkit for service oriented grid and utility computing an overview and status report"
    - "economic based distributed resource management and scheduling for grid computing"
    - "a deadline and budget constrained cost time optimisation algorithm for scheduling task farming applications on global grids"
    - "nimrod g an architecture for a resource management and scheduling system in a global computational grid"

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)