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: "occupy the cloud distributed computing for the 99"
  Abstract: Distributed computing remains inaccessible to a large number of users, in spite of many open source platforms and extensive commercial offerings. While distributed computation frameworks have moved beyond a simple map-reduce model, many users are still left to struggle with complex cluster management and configuration tools, even for running simple embarrassingly parallel jobs. We argue that stateless functions represent a viable platform for these users, eliminating cluster management overhead, fulfilling the promise of elasticity. Furthermore, using our prototype implementation, PyWren, we show that this model is general enough to implement a number of distributed computing models, such as BSP, efficiently. Extrapolating from recent trends in network bandwidth and the advent of disaggregated storage, we suggest that stateless functions are a natural fit for data processing in future computing environments.

Connected through hyperedge HE-1 (induced by source paper "serverless straggler mitigation using local error correcting codes"):
  with members:
    - "polar coded distributed matrix multiplication"
    - "oversketched newton fast convex optimization for serverless systems"
    - "cloud programming simplified a berkeley view on serverless computing"
    - "collaborative decoding of polynomial codes for distributed computation"
    - "serverless computing one step forward two steps back"
    - "learning a code machine learning for approximate non linear coded computation"
    - "speeding up distributed machine learning using codes"
    - "oversketch approximate matrix multiplication for the cloud"

Connected through hyperedge HE-2 (induced by source paper "cloudburst stateful functions as a service"):
  with members:
    - "cloud programming simplified a berkeley view on serverless computing"
    - "serverless computing one step forward two steps back"
    - "pretzel opening the black box of machine learning prediction serving systems"
    - "numpywren serverless linear algebra"
    - "ray a distributed framework for emerging ai applications"
    - "serverless computing current trends and open problems"
    - "mobilenets efficient convolutional neural networks for mobile vision applications"
    - "clipper a low latency online prediction serving system"

Connected through hyperedge HE-3 (induced by source paper "faasm lightweight isolation for efficient stateful serverless computing"):
  with members:
    - "not so fast analyzing the performance of webassembly vs native code"
    - "serverless computing one step forward two steps back"
    - "numpywren serverless linear algebra"
    - "serving deep learning models in a serverless platform"
    - "ray a distributed framework for emerging ai applications"
    - "mobilenets efficient convolutional neural networks for mobile vision applications"

Connected through hyperedge HE-4 (induced by source paper "distributed sketching methods for privacy preserving regression"):
  with members:
    - "emnist an extension of mnist to handwritten letters"
    - "randomized sketches of convex programs with sharp guarantees"
    - "sketching as a tool for numerical linear algebra"
    - "osnap faster numerical linear algebra algorithms via sparser subspace embeddings"
    - "randomized algorithms for matrices and data"
    - "faster least squares approximation"

Connected through hyperedge HE-5 (induced by source paper "a fault tolerance shim for serverless computing"):
  with members:
    - "cloud programming simplified a berkeley view on serverless computing"
    - "serverless computing one step forward two steps back"
    - "serverless computing current trends and open problems"
    - "skew in parallel query processing"
    - "rethinking serializable multiversion concurrency control"

Connected through hyperedge HE-6 (induced by source paper "infinicache exploiting ephemeral serverless functions to build a cost effective memory cache"):
  with members:
    - "cloud programming simplified a berkeley view on serverless computing"
    - "in search of a fast and efficient serverless dag engine"
    - "size aware sharding for improving tail latencies in in memory key value stores"
    - "numpywren serverless linear algebra"
    - "serving deep learning models in a serverless platform"

Connected through hyperedge HE-7 (induced by source paper "a prototype of serverless lucene"):
  with members:
    - "cloudburst stateful functions as a service"
    - "serverless computing one step forward two steps back"
    - "serverless data analytics with flint"
    - "ms marco a human generated machine reading comprehension dataset"

Connected through hyperedge HE-8 (induced by source paper "ripple a practical declarative programming framework for serverless compute"):
  with members:
    - "tensorflow a system for large scale machine learning"
    - "mxnet a flexible and efficient machine learning library for heterogeneous distributed systems"
    - "graphlab a new framework for parallel machine learning"

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)