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: "on storage allocation for maximum service rate in distributed storage systems"
  Abstract: Storage allocation affects important performance measures of distributed storage systems. Most previous studies on the storage allocation consider its effect separately either on the success of the data recovery or on the service rate (time) where it is assumed that no access failure happens in the system. In this paper, we go one step further and incorporate the access model and the success of data recovery into the service rate analysis. In particular, we focus on quasi-uniform storage allocation and provide a service rate analysis for both fixed-size and probabilistic access models at the nodes. Using this analysis, we then show that for the case of exponential waiting time distribution at individuals storage nodes, minimal spreading allocation results in the highest system service rate for both access models. This means that for a given storage budget, replication provides a better service rate than a coded storage solution.

Connected through hyperedge HE-1 (induced by source paper "a combinatorial view of the service rates of codes problem its equivalence to fractional matching and its connection with batch codes"):
  with members:
    - "a geometric view of the service rates of codes problem and its application to the service rate of the first order reed muller codes"
    - "load balancing performance in distributed storage with regular balanced redundancy"
    - "analyzing the download time of availability codes"
    - "service rate region of content access from erasure coded storage"
    - "simplex queues for hot data download"
    - "batch and pir codes and their connections to locally repairable codes"
    - "on distributed storage allocations of large files for maximum service rate"
    - "on the service capacity region of accessing erasure coded content"

Connected through hyperedge HE-2 (induced by source paper "a geometric view of the service rates of codes problem and its application to the service rate of the first order reed muller codes"):
  with members:
    - "load balancing performance in distributed storage with regular balanced redundancy"
    - "service rate region of content access from erasure coded storage"
    - "simplex queues for hot data download"
    - "on distributed storage allocations of large files for maximum service rate"
    - "on the service capacity region of accessing erasure coded content"
    - "many to many matching games for proactive social caching in wireless small cell networks"
    - "distributed storage allocations"
    - "on the locality of codeword symbols"

Connected through hyperedge HE-3 (induced by source paper "service rate region of content access from erasure coded storage"):
  with members:
    - "efficient redundancy techniques for latency reduction in cloud systems"
    - "locality and availability in distributed storage"
    - "on the delay storage trade off in content download from coded distributed storage systems"

Connected through hyperedge HE-4 (induced by source paper "on distributed storage allocations of large files for maximum service rate"):
  with members:
    - "on the service capacity region of accessing erasure coded content"
    - "when queueing meets coding optimal latency data retrieving scheme in storage clouds"
    - "distributed storage allocations"
    - "coding for fast content download"
    - "distributed storage allocations for optimal delay"
    - "memory allocation in distributed storage networks"

Connected through hyperedge HE-5 (induced by source paper "on the service capacity region of accessing erasure coded content"):
  with members:
    - "simplex queues for hot data download"
    - "repair locality with multiple erasure tolerance"
    - "locality and availability in distributed storage"
    - "bounds on locally recoverable codes with multiple recovering sets"
    - "fast cloud pushing the envelope on delay performance of cloud storage with coding"
    - "coding for fast content download"
    - "the mds queue analysing the latency performance of erasure codes"
    - "on the locality of codeword symbols"

Connected through hyperedge HE-6 (induced by source paper "storage allocation for multi class distributed data storage systems"):
  with members:
    - "optimal storage allocation for wireless cloud caching systems with a limited sum storage capacity"
    - "on distributed storage allocations for memory limited systems"
    - "on the delay storage trade off in content download from coded distributed storage systems"
    - "distributed storage allocations"
    - "allocations for heterogenous distributed storage"
    - "minimization of storage cost in distributed storage systems with repair consideration"
    - "distributed storage allocations for optimal delay"
    - "memory allocation in distributed storage networks"

Connected through hyperedge HE-7 (induced by source paper "sprout a functional caching approach to minimize service latency in erasure coded storage"):
  with members:
    - "differentiated latency in data center networks with erasure coded files through traffic engineering"
    - "taming tail latency for erasure coded distributed storage systems"
    - "joint latency and cost optimization for erasure coded data center storage"
    - "coded caching with distributed storage"
    - "tail index for a distributed storage system with pareto file size distribution"
    - "multi server coded caching"
    - "coded caching for delay sensitive content"
    - "hierarchical coded caching"

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)