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: "on the practicality of atomic mwmr register implementations"
  Abstract: Multiple-writer/multiple-reader (MWMR) atomic register implementations provide precise consistency guarantees, in the asynchronous, crash-prone, message passing environment. Fast MWMR atomic register implementations were first introduced in Englert et al. 2009. Fastness is measured in terms of the number of single round read and write operations that does not sacrifice correctness. In Georgiou et al. 2011 was shown, however, that decreasing the communication cost is not enough in these implementations. In particular, considering that the performance is measured in terms of the latency of read and write operations due to both (a) communication delays and (b)local computation, they introduced two new algorithms that traded communication for reducing computation. As computation is still part of the algorithms, someone may wonder: What is the trade-off between communication and local computation in real-time systems? #R##N#In this work we conduct an experimental performance evaluation of four MWMR atomic register implementations: SFW from Englert et al. 2009, APRX-SFW and CWFR from Georgiou at al. 2011, and the generalization of the traditional algorithm of Attiya et al. 1996 in the MWMR environment, which we call SIMPLE. We implement and evaluate the algorithms on NS2, a single-processor simulator, and on PlanetLab, a planetary-scale real-time network platform. Our comparison provides an empirical answer to the above question and demonstrates the practicality of atomic MWMR register implementations.

Connected through hyperedge HE-1 (induced by source paper "self stabilization overhead an experimental case study on coded atomic storage"):
  with members:
    - "self stabilizing and private distributed shared atomic memory in seldomly fair message passing networks"
    - "a coded shared atomic memory algorithm for message passing architectures"

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)