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: "what s live understanding distributed consensus"
  Abstract: Distributed consensus algorithms such as Paxos have been studied extensively. They all use a same definition of safety. Liveness is especially important in practice despite well-known theoretical impossibility results. However, many different liveness properties and assumptions have been stated, and there are no systematic comparisons for better understanding of these properties. #R##N#This paper studies and compares different liveness properties stated for over 30 well-known consensus algorithms and variants. We build a lattice of liveness properties combining a lattice of the assumptions used and a lattice of the assertions made, and we compare the strengths and weaknesses of algorithms that ensure these properties. #R##N#Our precise specifications and systematic comparisons led to the discovery of a range of problems in various stated liveness properties, from lacking assumptions or too weak assumptions for which no liveness assertions can hold, to too strong assumptions making it trivial or uninteresting to achieve the assertions. #R##N#We also developed TLA+ specifications of these liveness properties. We show that model checking execution steps using TLC can illustrate liveness patterns for single-valued Paxos on up to 4 proposers and 4 acceptors in a few hours, but becomes too expensive for multi-valued Paxos or more processes.

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)