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: "provably delay efficient data retrieving in storage clouds"
  Abstract: One key requirement for storage clouds is to be able to retrieve data quickly. Recent system measurements have shown that the data retrieving delay in storage clouds is highly variable, which may result in a long latency tail. One crucial idea to improve the delay performance is to retrieve multiple data copies by using parallel downloading threads. However, how to optimally schedule these downloading threads to minimize the data retrieving delay remains to be an important open problem. In this paper, we develop low-complexity thread scheduling policies for several important classes of data downloading time distributions, and prove that these policies are either delay-optimal or within a constant gap from the optimum delay performance. These theoretical results hold for an arbitrary arrival process of read requests that may contain finite or infinite read requests, and for heterogeneous MDS storage codes that can support diverse storage redundancy and reliability requirements for different data files. Our numerical results show that the delay performance of the proposed policies is significantly better than that of First-Come-First-Served (FCFS) policies considered in prior work.

Connected through hyperedge HE-1 (induced by source paper "analyzing the download time of availability codes"):
  with members:
    - "straggler mitigation at scale"
    - "simplex queues for hot data download"
    - "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"
    - "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-2 (induced by source paper "speeding up distributed machine learning using codes"):
  with members:
    - "a pliable index coding approach to data shuffling"
    - "coded computation over heterogeneous clusters"
    - "short dot computing large linear transforms distributedly using coded short dot products"
    - "minimizing latency for secure distributed computing"
    - "a fundamental tradeoff between computation and communication in distributed computing"
    - "a unified coding framework for distributed computing with straggling servers"
    - "on the worst case communication overhead for distributed data shuffling"
    - "information theoretic limits of data shuffling for distributed learning"

Connected through hyperedge HE-3 (induced by source paper "rateless codes for near perfect load balancing in distributed matrix vector multiplication"):
  with members:
    - "parity models a general framework for coding based resilience in ml inference"
    - "learning a code machine learning for approximate non linear coded computation"
    - "speeding up distributed machine learning using codes"
    - "numpywren serverless linear algebra"
    - "oversketch approximate matrix multiplication for the cloud"
    - "on the optimal recovery threshold of coded matrix multiplication"
    - "coded sparse matrix multiplication"
    - "near optimal straggler mitigation for distributed gradient methods"

Connected through hyperedge HE-4 (induced by source paper "minimizing the age of the information through queues"):
  with members:
    - "the power of waiting for more than one response in minimizing the age of information"
    - "age optimal information updates in multihop networks"
    - "remote estimation of the wiener process over a channel with random delay"
    - "on delay optimal scheduling in queueing systems with replications"
    - "update or wait how to keep your data fresh"
    - "age of information in the presence of error"
    - "optimizing data freshness throughput and delay in multi server information update systems"
    - "age of information the gamma awakening"

Connected through hyperedge HE-5 (induced by source paper "task replication for deadline constrained vehicular cloud computing optimal policy performance analysis and implications on road traffic"):
  with members:
    - "contrasting effects of replication in parallel systems from overload to underload and back"
    - "energy efficient resource allocation for mobile edge computation offloading"
    - "using straggler replication to reduce latency in large scale parallel computing"
    - "a high reliability asymptotic approach for packet inter delivery time optimization in cyber physical systems"
    - "when do redundant requests reduce latency"
    - "on myopic sensing for multi channel opportunistic access structure optimality and performance"
    - "femtocell networks a survey"

Connected through hyperedge HE-6 (induced by source paper "efficient straggler replication in large scale parallel computing"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "rateless codes for near perfect load balancing in distributed matrix vector multiplication"
    - "polynomial codes an optimal design for high dimensional coded matrix multiplication"
    - "short dot computing large linear transforms distributedly using coded short dot products"
    - "revisiting distributed synchronous sgd"
    - "efficient replication of queued tasks for latency reduction in cloud systems"
    - "using straggler replication to reduce latency in large scale parallel computing"
    - "efficient task replication for fast response times in parallel computation"

Connected through hyperedge HE-7 (induced by source paper "efficient redundancy techniques for latency reduction in cloud systems"):
  with members:
    - "using straggler replication to reduce latency in large scale parallel computing extended version"
    - "using straggler replication to reduce latency in large scale parallel computing"
    - "efficient task replication for fast response times in parallel computation"
    - "when queueing meets coding optimal latency data retrieving scheme in storage clouds"
    - "when do redundant requests reduce latency"
    - "tofec achieving optimal throughput delay trade off of cloud storage using erasure codes"
    - "on the delay storage trade off in content download from coded distributed storage systems"
    - "coding for fast content download"

Connected through hyperedge HE-8 (induced by source paper "efficient replication of queued tasks for latency reduction in cloud systems"):
  with members:
    - "efficient redundancy techniques for latency reduction in cloud systems"
    - "using straggler replication to reduce latency in large scale parallel computing extended version"
    - "efficient task replication for fast response times in parallel computation"
    - "when queueing meets coding optimal latency data retrieving scheme in storage clouds"
    - "when do redundant requests reduce latency"
    - "tofec achieving optimal throughput delay trade off of cloud storage using erasure codes"
    - "on the delay storage trade off in content download from coded distributed storage systems"
    - "coding for fast content download"

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)