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: "toward sustainable networking storage area networks with network coding"
  Abstract: This manuscript provides a model to characterize the energy savings of network coded storage (NCS) in storage area networks (SANs). We consider blocking probability of drives as our measure of performance. A mapping technique to analyze SANs as independent M/G/K/K queues is presented, and blocking probabilities for uncoded storage schemes and NCS are derived and compared. We show that coding operates differently than the amalgamation of file chunks and energy savings are shown to scale well with striping number. We illustrate that for enterprise-level SANs energy savings of 20-50% can be realized.

Connected through hyperedge HE-1 (induced by source paper "sears space efficient and reliable storage system in the cloud"):
  with members:
    - "on the delay storage trade off in content download from coded distributed storage systems"

Connected through hyperedge HE-2 (induced by source paper "when queueing meets coding optimal latency data retrieving scheme in storage clouds"):
  with members:
    - "on throughput delay optimal access to storage clouds via load adaptive coding and chunking"
    - "when do redundant requests reduce latency"
    - "fast cloud pushing the envelope on delay performance of cloud storage with coding"
    - "on the delay storage trade off in content download from coded distributed storage systems"
    - "the mds queue analysing the latency performance of erasure codes"
    - "a survey on network codes for distributed storage"
    - "on the delay of network coding over line networks"

Connected through hyperedge HE-3 (induced by source paper "queued cross bar network models for replication and coded storage systems"):
  with members:
    - "a survey on network codes for distributed storage"
    - "network coding in a multicast switch"

Connected through hyperedge HE-4 (induced by source paper "scheduling advantages of network coded storage in point to multipoint networks"):
  with members:
    - "a survey on network codes for distributed storage"

Connected through hyperedge HE-5 (induced by source paper "on the delay storage trade off in content download from coded distributed storage systems"):
  with members:
    - "zigzag codes mds array codes with optimal rebuilding"
    - "interference alignment in regenerating codes for distributed storage necessity and code constructions"
    - "coding for fast content download"
    - "the mds queue analysing the latency performance of erasure codes"
    - "explicit construction of optimal exact regenerating codes for distributed storage"
    - "network coding for distributed storage systems"

Connected through hyperedge HE-6 (induced by source paper "resolution aware network coded storage"):
  with members:
    - "coding for fast content download"
    - "network coding for multi resolution multicast"
    - "a survey on network codes for distributed storage"
    - "network coding for distributed storage systems"

Connected through hyperedge HE-7 (induced by source paper "fast cloud pushing the envelope on delay performance of cloud storage with coding"):
  with members:
    - "the mds queue analysing the latency performance of erasure codes"
    - "on the delay of network coding over line networks"
    - "fault tolerant real time streaming with fec thanks to capillary multi path routing"

Connected through hyperedge HE-8 (induced by source paper "the mds queue analysing the latency performance of erasure codes"):
  with members:
    - "when queueing meets coding optimal latency data retrieving scheme in storage clouds"
    - "when do redundant requests reduce latency"
    - "fast cloud pushing the envelope on delay performance of cloud storage with coding"
    - "a solution to the network challenges of data recovery in erasure coded distributed storage systems a study on the facebook warehouse cluster"
    - "coding for fast content download"
    - "access vs bandwidth in codes for storage"
    - "optimal exact regenerating codes for distributed storage at the msr and mbr points via a product matrix construction"
    - "repair optimal erasure codes through hadamard designs"

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)