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: "sequential consistency and concurrent data structures"
  Abstract: Linearizability, the de facto correctness condition for concurrent data structure implementations, despite its intuitive appeal is known to lead to poor scalability. This disadvantage has led researchers to design scalable data structures satisfying consistency conditions weaker than linearizability. Despite this recent trend, sequential consistency as a strictly weaker consistency condition than linearizability has received no interest. #R##N#In this paper, we investigate the applicability of sequential consistency as an alternative correctness criterion for concurrent data structure implementations. Our first finding formally justifies the reluctance in moving towards sequentially consistent data structures: Implementations in which each thread modifies only its thread-local variables are sequentially consistent for various standard data structures such as pools, queues and stacks. We also show that for almost all data structures, and the data structures we consider in this paper, it is possible to have sequentially consistent behaviors in which a designated thread does not synchronize at all. As a potential remedy, we define a hierarchy of quantitatively strengthened variants of sequential consistency such that the stronger the variant the more synchronization it enforces which at the limit is equal to that enforced by linearizability.

Connected through hyperedge HE-1 (induced by source paper "decidability and complexity for quiescent consistency and its variations"):
  with members:
    - "on verifying causal consistency"
    - "tightening the complexity of equivalence problems for commutative grammars"
    - "on reducing linearizability to state reachability"
    - "between linearizability and quiescent consistency quantitative quiescent consistency"
    - "on the complexity of linearizability"

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)