human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "securing hpc using federated authentication"):
  Abstract: Federated authentication can drastically reduce the overhead of basic account maintenance while simultaneously improving overall system security. Integrating with the user's more frequently used account at their primary organization both provides a better experience to the end user and makes account compromise or changes in affiliation more likely to be noticed and acted upon. Additionally, with many organizations transitioning to multi-factor authentication for all account access, the ability to leverage external federated identity management systems provides the benefit of their efforts without the additional overhead of separately implementing a distinct multi-factor authentication process. This paper describes our experiences and the lessons we learned by enabling federated authentication with the U.S. Government PKI and InCommon Federation, scaling it up to the user base of a production HPC system, and the motivations behind those choices. We have received only positive feedback from our users.

Includes members:
  Member "mit supercloud portal workspace enabling hpc web application deployment":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "ai enabling technologies a survey")
  Member "enhancing hpc security with a user based firewall":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "measuring the impact of spectre and meltdown")
  Member "enabling on demand database computing with mit supercloud database management system":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "ai enabling technologies a survey")
  Member "big data strategies for data center infrastructure management using a 3d gaming platform":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "scaling big data platform for big data pipeline")
  Member "d4m bringing associative arrays to database engines":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "ai enabling technologies a survey")
  Member "achieving 100 000 000 database inserts per second using accumulo and d4m":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "75 000 000 000 streaming inserts second using hierarchical hypersparse graphblas matrices")
  Member "computing on masked data a high performance method for improving big data veracity":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "interactive launch of 16 000 microsoft windows instances on a supercomputer")
  Member "d4m 2 0 schema a general purpose high performance schema for the accumulo database":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "large scale organization and inference of an imagery dataset for public safety")

Question: Please tell me which class the source paper 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)