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: "crdts consistency without concurrency control"
  Abstract: A CRDT is a data type whose operations commute when they are concurrent. Replicas of a CRDT eventually converge without any complex concurrency control. As an existence proof, we exhibit a non-trivial CRDT: a shared edit buffer called Treedoc. We outline the design, implementation and performance of Treedoc. We discuss how the CRDT concept can be generalised, and its limitations.

Connected through hyperedge HE-1 (induced by source paper "real differences between ot and crdt in correctness and complexity for consistency maintenance in co editors"):
  with members:
    - "real differences between ot and crdt under a general transformation framework for consistency maintenance in co editors"
    - "real differences between ot and crdt in building co editing systems and real world applications"
    - "designing a commutative replicated data type"

Connected through hyperedge HE-2 (induced by source paper "delta state replicated data types"):
  with members:
    - "efficient state based crdts by delta mutation"
    - "an optimized conflict free replicated set"

Connected through hyperedge HE-3 (induced by source paper "pure operation based replicated data types"):
  with members:
    - "delta state replicated data types"
    - "efficient state based crdts by delta mutation"

Connected through hyperedge HE-4 (induced by source paper "warp lightweight multi key transactions for key value stores"):
  with members:
    - "unbundling transaction services in the cloud"
    - "consensus on transaction commit"

Connected through hyperedge HE-5 (induced by source paper "efficient state based crdts by delta mutation"):
  with members:
    - "an optimized conflict free replicated set"

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)