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: "new trends in parallel and distributed simulation from many cores to cloud computing"
  Abstract: Abstract   Recent advances in computing architectures and networking are bringing parallel computing systems to the masses so increasing the number of potential users of these kinds of systems. In particular, two important technological evolutions are happening at the ends of the computing spectrum: at the “small” scale, processors now include an increasing number of independent execution units (cores), at the point that a mere CPU can be considered a parallel shared-memory computer; at the “large” scale, the Cloud Computing paradigm allows applications to scale by offering resources from a large pool on a pay-as-you-go model. Multi-core processors and Clouds both require applications to be suitably modified to take advantage of the features they provide. Despite laying at the extreme of the computing architecture spectrum – multi-core processors being at the small scale, and Clouds being at the large scale – they share an important common trait: both are specific forms of parallel/distributed architectures. As such, they present to the developers well known problems of synchronization, communication, workload distribution, and so on. Is parallel and distributed simulation ready for these challenges? In this paper, we analyze the state of the art of parallel and distributed simulation techniques, and assess their applicability to multi-core architectures or Clouds. It turns out that most of the current approaches exhibit limitations in terms of usability and adaptivity which may hinder their application to these new computing architectures. We propose an adaptive simulation mechanism, based on the multi-agent system paradigm, to partially address some of those limitations. While it is unlikely that a single approach will work well on both settings above, we argue that the proposed adaptive mechanism has useful features which make it attractive both in a multi-core processor and in a Cloud system. These features include the ability to reduce communication costs by migrating simulation components, and the support for adding (or removing) nodes to the execution architecture at runtime. We will also show that, with the help of an additional support layer, parallel and distributed simulations can be executed on top of unreliable resources.

Connected through hyperedge HE-1 (induced by source paper "internet based adaptive distributed simulation of mobile ad hoc networks"):
  with members:
    - "anonymity and confidentiality in secure distributed simulation"
    - "highly intensive data dissemination in complex networks"
    - "the simulation model partitioning problem an adaptive solution based on self clustering"
    - "multi level simulation of internet of things on smart territories"
    - "simulation of the internet of things"
    - "fault tolerant adaptive parallel and distributed simulation"

Connected through hyperedge HE-2 (induced by source paper "parallel data distribution management on shared memory multiprocessors"):
  with members:
    - "a dynamic hash table for the gpu"
    - "a parallel data distribution management algorithm"
    - "hitting the memory wall implications of the obvious"

Connected through hyperedge HE-3 (induced by source paper "distributed hybrid simulation of the internet of things and smart territories distributed hybrid simulation of the internet of things and smart territories"):
  with members:
    - "modeling the internet of things a simulation perspective"
    - "the simulation model partitioning problem an adaptive solution based on self clustering"
    - "a survey on handover management in mobility architectures"
    - "smart shires the revenge of countrysides"
    - "simulation of the internet of things"
    - "smart multihoming in smart shires mobility and communication management for smart services in countrysides"
    - "sensing as a service model for smart cities supported by internet of things"
    - "publish subscribe systems via gossip a study based on complex networks"

Connected through hyperedge HE-4 (induced by source paper "anonymity and confidentiality in secure distributed simulation"):
  with members:
    - "the simulation model partitioning problem an adaptive solution based on self clustering"
    - "multi level simulation of internet of things on smart territories"
    - "simulation of the internet of things"
    - "fault tolerant adaptive parallel and distributed simulation"

Connected through hyperedge HE-5 (induced by source paper "towards evaluating emergent behavior of the internet of things using large scale simulation techniques"):
  with members:
    - "the simulation model partitioning problem an adaptive solution based on self clustering"
    - "simulation of the internet of things"
    - "parallel and distributed simulation from many cores to the public cloud"

Connected through hyperedge HE-6 (induced by source paper "modeling the internet of things a simulation perspective"):
  with members:
    - "highly intensive data dissemination in complex networks"
    - "the simulation model partitioning problem an adaptive solution based on self clustering"
    - "multi level simulation of internet of things on smart territories"
    - "osmnx new methods for acquiring constructing analyzing and visualizing complex street networks"
    - "a survey on handover management in mobility architectures"
    - "smart shires the revenge of countrysides"
    - "simulation of the internet of things"
    - "cloudsim a novel framework for modeling and simulation of cloud computing infrastructures and services"

Connected through hyperedge HE-7 (induced by source paper "multi level simulation of internet of things on smart territories"):
  with members:
    - "highly intensive data dissemination in complex networks"
    - "a survey on handover management in mobility architectures"
    - "smart shires the revenge of countrysides"
    - "simulation of the internet of things"
    - "smart multihoming in smart shires mobility and communication management for smart services in countrysides"
    - "lunes agent based simulation of p2p systems"
    - "parallel and distributed simulation from many cores to the public cloud"

Connected through hyperedge HE-8 (induced by source paper "the quest for scalability and accuracy multi level simulation of the internet of things"):
  with members:
    - "modeling the internet of things a simulation perspective"
    - "the simulation model partitioning problem an adaptive solution based on self clustering"
    - "multi level simulation of internet of things on smart territories"
    - "smart shires the revenge of countrysides"
    - "simulation of the internet of things"
    - "smart multihoming in smart shires mobility and communication management for smart services in countrysides"

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)