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: "non homogeneous two rack model for distributed storage systems"
  Abstract: In the traditional two-rack distributed storage system (DSS) model, due to the assumption that the storage capacity of each node is the same, the minimum bandwidth regenerating (MBR) point becomes infeasible. In this paper, we design a new non-homogeneous two-rack model by proposing a generalization of the threshold function used to compute the tradeoff curve. We prove that by having the nodes in the rack with higher regenerating bandwidth stores more information, all the points on the tradeoff curve, including the MBR point, become feasible. Finally, we show how the non-homogeneous two-rack model outperforms the traditional model in the tradeoff curve between the storage per node and the repair bandwidth.

Connected through hyperedge HE-1 (induced by source paper "topology aware cooperative data protection in blockchain based decentralized storage networks"):
  with members:
    - "explicit constructions of msr codes for clustered distributed storage the rack aware storage model"
    - "hierarchical coding to enable scalability and flexibility in heterogeneous cloud storage"
    - "deconstructing the blockchain to approach physical limits"
    - "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"
    - "multi rack distributed data storage networks"
    - "blockchain in internet of things challenges and solutions"

Connected through hyperedge HE-2 (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"
    - "capacity of clustered distributed storage"
    - "joint latency and cost optimization for erasure coded data center storage"

Connected through hyperedge HE-3 (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"
    - "capacity of clustered distributed storage"
    - "a note on secure minimum storage regenerating codes"
    - "architecture aware coding for distributed storage repairable block failure resilient codes"
    - "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-4 (induced by source paper "storage and repair bandwidth tradeoff for distributed storage systems with clusters and separate nodes"):
  with members:
    - "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"
    - "capacity of clustered distributed storage"
    - "minimum storage regenerating codes for all parameters"
    - "capacity and security of heterogeneous distributed storage systems"
    - "optimal exact regenerating codes for distributed storage at the msr and mbr points via a product matrix construction"
    - "cost bandwidth tradeoff in distributed storage systems"

Connected through hyperedge HE-5 (induced by source paper "increasing availability in distributed storage systems via clustering"):
  with members:
    - "the storage versus repair bandwidth trade off for clustered storage systems"
    - "an explicit coupled layer construction of a high rate msr code with low sub packetization level small field size and all node repair"
    - "explicit constructions of high rate mds array codes with optimal repair bandwidth"
    - "the storage repair bandwidth trade off of exact repair linear regenerating codes for the case d k n 1"
    - "achieving arbitrary locality and availability in binary codes"
    - "layered exact repair regenerating codes via embedded error correction and block designs"
    - "locality and availability in distributed storage"
    - "characterizing the rate region of the 4 3 3 exact repair regenerating codes"

Connected through hyperedge HE-6 (induced by source paper "optimal repair layering for erasure coded data centers from theory to practice"):
  with members:
    - "minimum storage regenerating codes for all parameters"
    - "an explicit coupled layer construction of a high rate msr code with low sub packetization level small field size and all node repair"
    - "explicit constructions of high rate mds array codes with optimal repair bandwidth"
    - "explicit constructions of optimal access mds codes with nearly optimal sub packetization"
    - "xoring elephants novel erasure codes for big data"
    - "zigzag codes mds array codes with optimal rebuilding"
    - "a realistic distributed storage system that minimizes data storage and repair bandwidth"
    - "a solution to the network challenges of data recovery in erasure coded distributed storage systems a study on the facebook warehouse cluster"

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)