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: "architecture aware coding for distributed storage repairable block failure resilient codes"
  Abstract: In large scale distributed storage systems (DSS) deployed in cloud computing, correlated failures resulting in simultaneous failure (or, unavailability) of blocks of nodes are common. In such scenarios, the stored data or a content of a failed node can only be reconstructed from the available live nodes belonging to the available blocks. To analyze the resilience of the system against such block failures, this work introduces the framework of Block Failure Resilient (BFR) codes, wherein the data (e.g., a file in DSS) can be decoded by reading out from a same number of codeword symbols (nodes) from a subset of available blocks of the underlying codeword. Further, repairable BFR codes are introduced, wherein any codeword symbol in a failed block can be repaired by contacting a subset of remaining blocks in the system. File size bounds for repairable BFR codes are derived, and the trade-off between per node storage and repair bandwidth is analyzed, and the corresponding minimum storage regenerating (BFR-MSR) and minimum bandwidth regenerating (BFR-MBR) points are derived. Explicit codes achieving the two operating points for a special case of parameters are constructed, wherein the underlying regenerating codewords are distributed to BFR codeword symbols according to combinatorial designs. Finally, BFR locally repairable codes (BFR-LRC) are introduced, an upper bound on the resilience is derived and optimal code construction are provided by a concatenation of Gabidulin and MDS codes. Repair efficiency of BFR-LRC is further studied via the use of BFR-MSR/MBR codes as local codes. Code constructions achieving optimal resilience for BFR-MSR/MBR-LRCs are provided for certain parameter regimes. Overall, this work introduces the framework of block failures along with optimal code constructions, and the study of architecture-aware coding for distributed storage systems.

Connected through hyperedge HE-1 (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"
    - "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-2 (induced by source paper "multi rack distributed data storage networks"):
  with members:
    - "the storage versus repair bandwidth trade off for clustered storage systems"
    - "increasing availability in distributed storage systems via clustering"
    - "capacity of clustered distributed storage"
    - "maximally recoverable codes for grid like topologies"
    - "codes with hierarchical locality"
    - "xoring elephants novel erasure codes for big data"
    - "a realistic distributed storage system that minimizes data storage and repair bandwidth"
    - "locally repairable codes with multiple repair alternatives"

Connected through hyperedge HE-3 (induced by source paper "capacity of clustered distributed storage"):
  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"
    - "secure clustered distributed storage against eavesdroppers"
    - "optimal repair layering for erasure coded data centers from theory to practice"
    - "explicit constructions of optimal access mds codes with nearly optimal sub packetization"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "the storage vs repair bandwidth trade off for multiple failures in clustered storage networks"):
  with members:
    - "the storage versus repair bandwidth trade off for clustered storage systems"
    - "capacity of clustered distributed storage"
    - "centralized repair of multiple node failures with applications to communication efficient secret sharing"
    - "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"
    - "cooperative regenerating codes"
    - "repairing multiple failures with coordinated and adaptive regenerating codes"

Connected through hyperedge HE-5 (induced by source paper "leos assisted inter geos communication via distributed storage coding"):
  with members:
    - "optimal exact regenerating codes for distributed storage at the msr and mbr points via a product matrix construction"
    - "generic optimization of linear precoding in multibeam satellite 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)