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: "web based interface in public cluster"
  Abstract: A web-based interface dedicated for cluster computer which is publicly accessible for free is introduced. The interface plays an important role to enable secure public access, while providing user-friendly computational environment for end-users and easy maintainance for administrators as well. The whole architecture which integrates both aspects of hardware and software is briefly explained. It is argued that the public cluster is globally a unique approach, and could be a new kind of e-learning system especially for parallel programming communities.

Connected through hyperedge HE-1 (induced by source paper "public infrastructure for monte carlo simulation publicmc batan"):
  with members:
    - "grid architecture through a public cluster"
    - "multi and independent block approach in public cluster"
    - "open and free cluster for public"
    - "gridscape a tool for the creation of interactive and dynamic grid testbed web portals"

Connected through hyperedge HE-2 (induced by source paper "microcontroller based distributed and networked control system for public cluster"):
  with members:
    - "grid architecture through a public cluster"
    - "resource allocation in public cluster with extended optimization algorithm"
    - "open and free cluster for public"

Connected through hyperedge HE-3 (induced by source paper "grid architecture through a public cluster"):
  with members:
    - "real time control and monitoring system for lipi s public cluster"
    - "resource allocation in public cluster with extended optimization algorithm"
    - "public cluster parallel machine with multi block approach"
    - "open and free cluster for public"

Connected through hyperedge HE-4 (induced by source paper "real time control and monitoring system for lipi s public cluster"):
  with members:
    - "public cluster parallel machine with multi block approach"
    - "open and free cluster for public"

Connected through hyperedge HE-5 (induced by source paper "resource allocation in public cluster with extended optimization algorithm"):
  with members:
    - "public cluster parallel machine with multi block approach"
    - "open and free cluster for public"

Connected through hyperedge HE-6 (induced by source paper "open and free cluster for public"):
  with members:
    - "real time control and monitoring system for lipi s public cluster"
    - "public cluster parallel machine with multi block approach"

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)