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: "simplex queues for hot data download"
  Abstract: In cloud storage systems, hot data is usually replicated over multiple nodes in order to accommodate simultaneous access by multiple users as well as increase the fault tolerance of the system. Recent cloud storage research has proposed using availability codes, which is a special class of erasure codes, as a more storage efficient way to store hot data. These codes enable data recovery from multiple, small disjoint groups of servers. The number of the recovery groups is referred to as the availability and the size of each group as the locality of the code. Until now, we have very limited knowledge on how code locality and availability affect data access time. Data download from these systems involves multiple fork-join queues operating in-parallel, making the analysis of access time a very challenging problem. In this paper, we present an approximate analysis of data access time in storage systems that employ simplex codes, which are an important and in certain sense optimal class of availability codes. We consider and compare three strategies in assigning download requests to servers; first one aggressively exploits the storage availability for faster download, second one implements only load balancing, and the last one employs storage availability only for hot data download without incurring any negative impact on the cold data download.

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"
    - "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"
    - "on storage allocation for maximum service rate in distributed storage systems"

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"
    - "on distributed storage allocations of large files for maximum service rate"
    - "on the service capacity region of accessing erasure coded content"
    - "on storage allocation for maximum service rate in distributed storage systems"
    - "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 "analyzing the download time of availability codes"):
  with members:
    - "straggler mitigation at scale"
    - "on the service capacity region of accessing erasure coded content"
    - "rate optimal binary linear locally repairable codes with small availability"
    - "efficient redundancy techniques for latency reduction in cloud systems"
    - "provably delay efficient data retrieving in storage clouds"
    - "repair locality with multiple erasure tolerance"
    - "locality and availability in distributed storage"
    - "bounds on locally recoverable codes with multiple recovering sets"

Connected through hyperedge HE-4 (induced by source paper "on the service capacity region of accessing erasure coded content"):
  with members:
    - "on storage allocation for maximum service rate in distributed storage systems"
    - "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"

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)