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: "intercloud utility oriented federation of cloud computing environments for scaling of application services"
  Abstract: Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers around the world. However, existing systems do not support mechanisms and policies for dynamically coordinating load distribution among different Cloud-based data centers in order to determine optimal location for hosting application services to achieve reasonable QoS levels. Further, the Cloud computing providers are unable to predict geographic distribution of users consuming their services, hence the load coordination must happen automatically, and distribution of services must change in response to changes in the load. To counter this problem, we advocate creation of federated Cloud computing environment (InterCloud) that facilitates just-in-time, opportunistic, and scalable provisioning of application services, consistently achieving QoS targets under variable workload, resource and network conditions. The overall goal is to create a computing environment that supports dynamic expansion or contraction of capabilities (VMs, services, storage, and database) for handling sudden variations in service demands. #R##N#This paper presents vision, challenges, and architectural elements of InterCloud for utility-oriented federation of Cloud computing environments. The proposed InterCloud environment supports scaling of applications across multiple vendor clouds. We have validated our approach by conducting a set of rigorous performance evaluation study using the CloudSim toolkit. The results demonstrate that federated Cloud computing model has immense potential as it offers significant performance gains as regards to response time and cost saving under dynamic workload scenarios.

Connected through hyperedge HE-1 (induced by source paper "performance analytical comparison of blockchain as a service baas platforms"):
  with members:
    - "lapps technological legal and market potentials of blockchain lightning network applications"
    - "atomic cross chain swaps development trajectory and potential of non monetary digital token swap facilities"
    - "applications of blockchain technology beyond cryptocurrency"
    - "application of blockchain in booking and registration systems of securities exchanges"
    - "formal specification and verification of smart contracts for azure blockchain"
    - "a recruitment and human resource management technique using blockchain technology for industry 4 0"
    - "blockchain enabled enhanced iot ecosystem security"

Connected through hyperedge HE-2 (induced by source paper "cloud provider capacity augmentation through automated resource bartering"):
  with members:
    - "agent based negotiation using cloud an approach in e commerce"

Connected through hyperedge HE-3 (induced by source paper "energy aware virtual machine management in inter datacenter networks over elastic optical infrastructure"):
  with members:
    - "renewable energy aware inter datacenter virtual machine migration over elastic optical networks"

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"

Connected through hyperedge HE-5 (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-6 (induced by source paper "technologies for web and cloud service interaction a survey"):
  with members:
    - "a grammatical inference approach to language based anomaly detection in xml"
    - "cloud computing and grid computing 360 degree compared"

Connected through hyperedge HE-7 (induced by source paper "vm scaling and load balancing via cost optimal mdp solution"):
  with members:
    - "distributed deep neural networks over the cloud the edge and end devices"

Connected through hyperedge HE-8 (induced by source paper "a study on optimized resource provisioning in federated cloud"):
  with members:
    - "aneka a software platform for net based cloud computing"

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)