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: "multi cloud resource provisioning with aneka a unified and integrated utilisation of microsoft azure and amazon ec2 instances"
  Abstract: Many vendors are offering computing services on subscription basis via Infrastructure-as-a-Service (IaaS) model. Users can acquire resources from different providers and get the best of each of them to run their applications. However, deploying applications in multi-cloud environments is a complex task. Therefore, application platforms are needed to help developers to succeed. Aneka is one such platform that supports developers to program and deploy distributed applications in multi-cloud environments. It can be used to provision resources from different cloud providers and can be configured to request resources dynamically according to the needs of specific applications. This paper presents extensions incorporated in Aneka to support the deployment of applications in multi-cloud environments. The first extension shows the flexibility of Aneka architecture to add cloud providers. Specifically, we describe the addition of Microsoft Azure IaaS cloud provider. We also discuss the inclusion of public IPs to communicate resources located in different networks and the functionality of using PowerShell to automatize installation of Aneka on remote resources. We demonstrate how an application composed of independent tasks improves its total execution time when it is deployed in the multi-cloud environment created by Aneka using resources provisioned from Azure and EC2.

Connected through hyperedge HE-1 (induced by source paper "an api for development of user defined scheduling algorithms in aneka paas cloud software user defined schedulers in aneka paas cloud software"):
  with members:
    - "internet of things iot a vision architectural elements and future directions"
    - "aneka a software platform for net based cloud computing"

Connected through hyperedge HE-2 (induced by source paper "hpc cloud for scientific and business applications taxonomy vision and research challenges"):
  with members:
    - "in datacenter performance analysis of a tensor processing unit"
    - "about the suitability of clouds in high performance computing"
    - "sla aware interactive workflow assistant for hpc parameter sweeping experiments"
    - "job placement advisor based on turnaround predictions for hpc hybrid clouds"
    - "tensorflow a system for large scale machine learning"
    - "big data computing and clouds"
    - "high performance cloud computing a view of scientific applications"
    - "the anatomy of the grid enabling scalable virtual organizations"

Connected through hyperedge HE-3 (induced by source paper "internet of things iot and cloud computing enabled disaster management"):
  with members:
    - "cross layer multi cloud real time application qos monitoring and benchmarking as a service framework"
    - "the anatomy of big data computing"
    - "a cloud infrastructure service recommendation system for optimizing real time qos provisioning constraints"
    - "big data computing and clouds"
    - "exploiting social navigation"

Connected through hyperedge HE-4 (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"

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)