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: "a layered architecture for erasure coded consistent distributed storage"
  Abstract: Motivated by emerging applications to the edge computing paradigm, we introduce a two-layer erasure-coded fault-tolerant distributed storage system offering atomic access for read and write operations. In edge computing, clients interact with an edge-layer of servers that is geographically near; the edge-layer in turn interacts with a back-end layer of servers. The edge-layer provides low latency access and temporary storage for client operations, and uses the back-end layer for persistent storage. Our algorithm, termed Layered Data Storage (LDS) algorithm, offers several features suitable for edge-computing systems, works under asynchronous message-passing environments, supports multiple readers and writers, and can tolerate $f_1 < n_1/2$ and $f_2 < n_2/3$ crash failures in the two layers having $n_1$ and $n_2$ servers, respectively. We use a class of erasure codes known as regenerating codes for storage of data in the back-end layer. The choice of regenerating codes, instead of popular choices like Reed-Solomon codes, not only optimizes the cost of back-end storage, but also helps in optimizing communication cost of read operations, when the value needs to be recreated all the way from the back-end. The two-layer architecture permits a modular implementation of atomicity and erasure-code protocols; the implementation of erasure-codes is mostly limited to interaction between the two layers. We prove liveness and atomicity of LDS, and also compute performance costs associated with read and write operations. Further, in a multi-object system running $N$ independent instances of LDS, where only a small fraction of the objects undergo concurrent accesses at any point during the execution, the overall storage cost is dominated by that of persistent storage in the back-end layer, and is given by $\Theta(N)$.

Connected through hyperedge HE-1 (induced by source paper "convertible codes efficient conversion of coded data in distributed storage"):
  with members:
    - "an exponential lower bound on the sub packetization of msr codes"
    - "combinatorial alphabet dependent bounds for locally recoverable codes"
    - "capacity of locally recoverable codes"
    - "product matrix msr codes with bandwidth adaptive exact repair"
    - "bandwidth adaptive error resilient mbr exact repair regenerating codes"
    - "the storage vs repair bandwidth trade off for multiple failures in clustered storage networks"
    - "locally recoverable codes from algebraic curves and surfaces"
    - "a tight lower bound on the sub packetization level of optimal access msr and mds codes"

Connected through hyperedge HE-2 (induced by source paper "harnessing correlations in distributed erasure coded key value stores"):
  with members:
    - "on coding for cache aided delivery of dynamic correlated content"
    - "storage efficient shared memory emulation"
    - "multi version coding for consistent distributed storage of correlated data updates"
    - "communication cost for updating linear functions when message updates are sparse connections to maximally recoverable codes"
    - "correlation aware distributed caching and coded delivery"
    - "information theoretic lower bounds on the storage cost of shared memory emulation"
    - "multi version coding an information theoretic perspective of consistent distributed storage"
    - "compressed differential erasure codes for efficient archival of versioned data"

Connected through hyperedge HE-3 (induced by source paper "self stabilizing and private distributed shared atomic memory in seldomly fair message passing networks"):
  with members:
    - "practically self stabilizing vector clocks in the absence of execution fairness"
    - "storage optimized data atomic algorithms for handling erasures and errors in distributed storage systems"
    - "erasure coded byzantine storage with separate metadata"
    - "a coded shared atomic memory algorithm for message passing architectures"
    - "dijkstra s self stabilizing algorithm in unsupportive environments"

Connected through hyperedge HE-4 (induced by source paper "storage efficient shared memory emulation"):
  with members:
    - "radon repairable atomic data object in networks"
    - "information theoretic lower bounds on the storage cost of shared memory emulation"
    - "storage optimized data atomic algorithms for handling erasures and errors in distributed storage systems"
    - "multi version coding an information theoretic perspective of consistent distributed storage"
    - "space bounds for reliable storage fundamental limits of coding"

Connected through hyperedge HE-5 (induced by source paper "multi version coding an information theoretic perspective of consistent distributed storage"):
  with members:
    - "radon repairable atomic data object in networks"
    - "communication cost for updating linear functions when message updates are sparse connections to maximally recoverable codes"
    - "information theoretic lower bounds on the storage cost of shared memory emulation"
    - "content type coding"
    - "compressed differential erasure codes for efficient archival of versioned data"
    - "synchronizing edits in distributed storage networks"
    - "fundamental limits on communication for oblivious updates in storage networks"
    - "characterizing the rate region of the 4 3 3 exact repair regenerating codes"

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)