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: "a comprehensive perspective on pilot job systems"
  Abstract: Pilot-Job systems play an important role in supporting distributed scientific computing. They are used to consume more than 700 million CPU hours a year by the Open Science Grid communities, and by processing up to 1 million jobs a day for the ATLAS experiment on the Worldwide LHC Computing Grid. With the increasing importance of task-level parallelism in high-performance computing, Pilot-Job systems are also witnessing an adoption beyond traditional domains. Notwithstanding the growing impact on scientific research, there is no agreement upon a definition of Pilot-Job system and no clear understanding of the underlying abstraction and paradigm. Pilot-Job implementations have proliferated with no shared best practices or open interfaces and little interoperability. Ultimately, this is hindering the realization of the full impact of Pilot-Jobs by limiting their robustness, portability, and maintainability. This paper offers a comprehensive analysis of Pilot-Job systems critically assessing their motivations, evolution, properties, and implementation. The three main contributions of this paper are: (i) an analysis of the motivations and evolution of Pilot-Job systems; (ii) an outline of the Pilot abstraction, its distinguishing logical components and functionalities, its terminology, and its architecture pattern; and (iii) the description of core and auxiliary properties of Pilot-Jobs systems and the analysis of seven exemplar Pilot-Job implementations. Together, these contributions illustrate the Pilot paradigm, its generality, and how it helps to address some challenges in distributed scientific computing.

Connected through hyperedge HE-1 (induced by source paper "methods and experiences for developing abstractions for data intensive scientific applications"):
  with members:
    - "learning everywhere pervasive machine learning for effective high performance computation"
    - "priority based parameter propagation for distributed dnn training"
    - "performance characterization and modeling of serverless and hpc streaming applications"
    - "synapse synthetic application profiler and emulator"
    - "hadoop on hpc integrating hadoop and pilot based dynamic resource management"
    - "on the hourglass model"
    - "using pilot systems to execute many task workloads on supercomputers"
    - "a tale of two data intensive paradigms applications abstractions and architectures"

Connected through hyperedge HE-2 (induced by source paper "serverless supercomputing high performance function as a service for science"):
  with members:
    - "parsl pervasive parallel programming in python"
    - "dlhub model and data serving for science"
    - "container based cluster orchestration systems a taxonomy and future directions"
    - "a serverless tool for platform agnostic computational experiment management"
    - "serving deep learning models in a serverless platform"
    - "ray a distributed framework for emerging ai applications"
    - "serverless computing current trends and open problems"
    - "status of serverless computing and function as a service faas in industry and research"

Connected through hyperedge HE-3 (induced by source paper "deepdrivemd deep learning driven adaptive molecular simulations for protein folding"):
  with members:
    - "radical cybertools middleware building blocks for scalable science"
    - "understanding ml driven hpc applications and infrastructure"
    - "characterizing the performance of executing many tasks on summit"
    - "ensemble toolkit scalable and flexible execution of ensembles of tasks"
    - "using pilot systems to execute many task workloads on supercomputers"

Connected through hyperedge HE-4 (induced by source paper "middleware building blocks for workflow systems"):
  with members:
    - "microservices yesterday today and tomorrow"
    - "hadoop on hpc integrating hadoop and pilot based dynamic resource management"
    - "extasy scalable and flexible coupling of md simulations and advanced sampling techniques"
    - "scientific computing meets big data technology an astronomy use case"

Connected through hyperedge HE-5 (induced by source paper "evaluation of pilot jobs for apache spark applications on hpc clusters"):
  with members:
    - "hadoop on hpc integrating hadoop and pilot based dynamic resource management"
    - "comparative evaluation of big data systems on scientific image analytics workloads"
    - "radical pilot scalable execution of heterogeneous and dynamic workloads on supercomputers"

Connected through hyperedge HE-6 (induced by source paper "staged deployment of interactive multi application hpc workflows"):
  with members:
    - "synapse synthetic application profiler and emulator"
    - "closed loop interactions between spiking neural network and robotic simulators based on music and ros"

Connected through hyperedge HE-7 (induced by source paper "task parallel analysis of molecular dynamics trajectories"):
  with members:
    - "high throughput binding affinity calculations at extreme scales"
    - "hadoop on hpc integrating hadoop and pilot based dynamic resource management"
    - "extasy scalable and flexible coupling of md simulations and advanced sampling techniques"
    - "repex a flexible framework for scalable replica exchange molecular dynamics simulations"
    - "using pilot systems to execute many task workloads on supercomputers"
    - "mllib machine learning in apache spark"
    - "a tale of two data intensive paradigms applications abstractions and architectures"
    - "p a model of pilot abstractions"

Connected through hyperedge HE-8 (induced by source paper "synapse synthetic application profiler and emulator"):
  with members:
    - "ensemble toolkit scalable and flexible execution of ensembles of tasks"
    - "radical pilot scalable execution of heterogeneous and dynamic workloads on supercomputers"
    - "integrating abstractions to enhance the execution of distributed applications"
    - "simgrid a sustained effort for the versatile simulation of large scale distributed systems"

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)