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: "an optimal self stabilizing firing squad"
  Abstract: Consider a fully connected network where up to $t$ processes may crash, and all processes start in an arbitrary memory state. The self-stabilizing firing squad problem consists of eventually guaranteeing simultaneous response to an external input. This is modeled by requiring that the non-crashed processes "fire" simultaneously if some correct process received an external "GO" input, and that they only fire as a response to some process receiving such an input. This paper presents FireAlg, the first self-stabilizing firing squad algorithm. #R##N#The FireAlg algorithm is optimal in two respects: (a) Once the algorithm is in a safe state, it fires in response to a GO input as fast as any other algorithm does, and (b) Starting from an arbitrary state, it converges to a safe state as fast as any other algorithm does.

Connected through hyperedge HE-1 (induced by source paper "near optimal self stabilising counting and firing squads"):
  with members:
    - "efficient counting with optimal resilience"
    - "towards optimal synchronous counting"
    - "breaking the o n 2 bit barrier scalable byzantine agreement with an adaptive adversary"
    - "self stabilizing byzantine agreement"

Connected through hyperedge HE-2 (induced by source paper "relating knowledge and coordinated action the knowledge of preconditions principle"):
  with members:
    - "the shape of reactive coordination tasks"
    - "agent time epistemics and coordination"
    - "knowledge and common knowledge in a distributed environment"
    - "common knowledge revisited"

Connected through hyperedge HE-3 (induced by source paper "fast rendezvous on a cycle by agents with different speeds"):
  with members:
    - "toward more localized local algorithms removing assumptions concerning global knowledge"
    - "asynchronous deterministic rendezvous in bounded terrains"

Connected through hyperedge HE-4 (induced by source paper "rendezvous of agents with different speeds"):
  with members:
    - "toward more localized local algorithms removing assumptions concerning global knowledge"
    - "asynchronous deterministic rendezvous in bounded terrains"

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)