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: "capacity of clustered distributed storage"
  Abstract: A new system model reflecting the clustered structure of distributed storage is suggested to investigate interplay between storage overhead and repair bandwidth as storage node failures occur. Large data centers with multiple racks/disks or local networks of storage devices (e.g. sensor network) are good applications of the suggested clustered model. In realistic scenarios involving clustered storage structures, repairing storage nodes using intact nodes residing in other clusters is more bandwidth-consuming than restoring nodes based on information from intra-cluster nodes. Therefore, it is important to differentiate between intra-cluster repair bandwidth and cross-cluster repair bandwidth in modeling distributed storage. Capacity of the suggested model is obtained as a function of fundamental resources of distributed storage systems, namely, node storage capacity, intra-cluster repair bandwidth and cross-cluster repair bandwidth. The capacity is shown to be asymptotically equivalent to a monotonic decreasing function of number of clusters, as the number of storage nodes increases without bound. Based on the capacity expression, feasible sets of required resources which enable reliable storage are obtained in a closed-form solution. Specifically, it is shown that the cross-cluster traffic can be minimized to zero (i.e., intra-cluster local repair becomes possible) by allowing extra resources on storage capacity and intra-cluster repair bandwidth, according to the law specified in the closed-form. The network coding schemes with zero cross-cluster traffic are defined as intra-cluster repairable codes, which are shown to be a class of the previously developed locally repairable codes.

Connected through hyperedge HE-1 (induced by source paper "cascade codes for distributed storage systems"):
  with members:
    - "a generic transformation to enable optimal repair in mds codes for distributed storage systems"
    - "determinant codes with helper independent repair for single and multiple failures"
    - "a class of msr codes for clustered distributed storage"
    - "product matrix msr codes with bandwidth adaptive exact repair"
    - "bandwidth adaptive error resilient mbr exact repair regenerating codes"
    - "a tight lower bound on the sub packetization level of optimal access msr and mds codes"
    - "progress on high rate msr codes enabling arbitrary number of helper nodes"
    - "minimum storage regenerating codes for all parameters"

Connected through hyperedge HE-2 (induced by source paper "explicit constructions of msr codes for clustered distributed storage the rack aware storage model"):
  with members:
    - "a generic transformation to enable optimal repair in mds codes for distributed storage systems"
    - "the storage versus repair bandwidth trade off for clustered storage systems"
    - "rack aware regenerating codes for data centers"
    - "cooperative repair constructions of optimal mds codes for all admissible parameters"
    - "a class of msr codes for clustered distributed storage"
    - "erasure coding for distributed storage an overview"
    - "optimal repair layering for erasure coded data centers from theory to practice"
    - "increasing availability in distributed storage systems via clustering"

Connected through hyperedge HE-3 (induced by source paper "capacity of distributed storage systems with clusters and separate nodes"):
  with members:
    - "storage and repair bandwidth tradeoff for distributed storage systems with clusters and separate nodes"
    - "the storage versus repair bandwidth trade off for clustered storage systems"
    - "rack aware regenerating codes for data centers"
    - "optimal repair layering for erasure coded data centers from theory to practice"
    - "video streaming in distributed erasure coded storage systems stall duration analysis"
    - "the storage vs repair bandwidth trade off for multiple failures in clustered storage networks"
    - "joint latency and cost optimization for erasure coded data center storage"
    - "sprout a functional caching approach to minimize service latency in erasure coded storage"

Connected through hyperedge HE-4 (induced by source paper "capacity of dynamical storage systems"):
  with members:
    - "liquid cloud storage"
    - "coding for fast content download"
    - "repairing multiple failures with coordinated and adaptive regenerating codes"
    - "cost bandwidth tradeoff in distributed storage systems"

Connected through hyperedge HE-5 (induced by source paper "explicit construction of mbr codes for clustered distributed storage"):
  with members:
    - "explicit constructions of msr codes for clustered distributed storage the rack aware storage model"
    - "the storage versus repair bandwidth trade off for clustered storage systems"
    - "a class of msr codes for clustered distributed storage"
    - "secure clustered distributed storage against eavesdroppers"
    - "optimal repair layering for erasure coded data centers from theory to practice"
    - "increasing availability in distributed storage systems via clustering"
    - "locality and availability of array codes constructed from subspaces"
    - "minimum storage regenerating codes for all parameters"

Connected through hyperedge HE-6 (induced by source paper "explicit constructions of mbr and msr codes for clustered distributed storage"):
  with members:
    - "explicit constructions of msr codes for clustered distributed storage the rack aware storage model"
    - "the storage versus repair bandwidth trade off for clustered storage systems"
    - "a class of msr codes for clustered distributed storage"
    - "secure clustered distributed storage against eavesdroppers"
    - "optimal repair layering for erasure coded data centers from theory to practice"
    - "increasing availability in distributed storage systems via clustering"
    - "locality and availability of array codes constructed from subspaces"
    - "minimum storage regenerating codes for all parameters"

Connected through hyperedge HE-7 (induced by source paper "the storage versus repair bandwidth trade off for clustered storage systems"):
  with members:
    - "optimal repair layering for erasure coded data centers from theory to practice"
    - "a note on secure minimum storage regenerating codes"
    - "architecture aware coding for distributed storage repairable block failure resilient codes"
    - "non homogeneous two rack model for distributed storage systems"
    - "capacity and security of heterogeneous distributed storage systems"
    - "a realistic distributed storage system the rack model"
    - "distributed storage codes with repair by transfer and nonachievability of interior points on the storage bandwidth tradeoff"
    - "on the locality of codeword symbols"

Connected through hyperedge HE-8 (induced by source paper "rack aware regenerating codes for data centers"):
  with members:
    - "explicit construction of mbr codes for clustered distributed storage"
    - "the storage versus repair bandwidth trade off for clustered storage systems"
    - "a class of msr codes for clustered distributed storage"
    - "optimal repair layering for erasure coded data centers from theory to practice"
    - "minimum storage regenerating codes for all parameters"
    - "xoring elephants novel erasure codes for big data"
    - "a realistic distributed storage system that minimizes data storage and repair bandwidth"
    - "capacity and security of heterogeneous distributed storage systems"

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.IT(Information Theory)