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: "serverless data analytics with flint"
  Abstract: Serverless architectures organized around loosely-coupled function invocations represent an emerging design for many applications. Recent work mostly focuses on user-facing products and event-driven processing pipelines. In this paper, we explore a completely different part of the application space and examine the feasibility of analytical processing on big data using a serverless architecture. We present Flint, a prototype Spark execution engine that takes advantage of AWS Lambda to provide a pure pay-as-you-go cost model. With Flint, a developer uses PySpark exactly as before, but without needing an actual Spark cluster. We describe the design, implementation, and performance of Flint, along with the challenges associated with serverless analytics.

Connected through hyperedge HE-1 (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"
    - "occupy the cloud distributed computing for the 99"
    - "ms marco a human generated machine reading comprehension dataset"

Connected through hyperedge HE-2 (induced by source paper "servermix tradeoffs and challenges of serverless data analytics"):
  with members:
    - "cloud programming simplified a berkeley view on serverless computing"
    - "serverless computing one step forward two steps back"
    - "numpywren serverless linear algebra"
    - "comparison of faas orchestration systems"
    - "occupy the cloud distributed computing for the 99"

Connected through hyperedge HE-3 (induced by source paper "lambada interactive data analytics on cold data using serverless cloud infrastructure"):
  with members:
    - "pay one get hundreds for free reducing cloud costs through shared query execution"

Connected through hyperedge HE-4 (induced by source paper "comparison of faas orchestration systems"):
  with members:
    - "occupy the cloud distributed computing for the 99"

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)