human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "harnessing the power of serverless runtimes for large scale optimization"):
  Abstract: The event-driven and elastic nature of serverless runtimes makes them a very efficient and cost-effective alternative for scaling up computations. So far, they have mostly been used for stateless, data parallel and ephemeral computations. In this work, we propose using serverless runtimes to solve generic, large-scale optimization problems. Specifically, we build a master-worker setup using AWS Lambda as the source of our workers, implement a parallel optimization algorithm to solve a regularized logistic regression problem, and show that relative speedups up to 256 workers and efficiencies above 70% up to 64 workers can be expected. We also identify possible algorithmic and system-level bottlenecks, propose improvements, and discuss the limitations and challenges in realizing these improvements.

Includes members:
  Member "characterizing task completion latencies in fog computing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "virtualized control over fog interplay between reliability and latency")
  Member "numpywren serverless linear algebra":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "cloudburst stateful functions as a service")
  Member "serving deep learning models in a serverless platform":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "faasm lightweight isolation for efficient stateful serverless computing")
  Member "serverless computing current trends and open problems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "serverless straggler mitigation using local error correcting codes")
  Member "hemingway modeling distributed optimization algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "blinkml efficient maximum likelihood estimation with probabilistic guarantees")
  Member "revisiting distributed synchronous sgd":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "trends and advancements in deep neural network communication")
  Member "a sequential approximation framework for coded distributed optimization":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "serverless straggler mitigation using local error correcting codes")
  Member "asynchronous distributed admm for large scale optimization part ii linear convergence analysis and numerical performance":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "distributed second order methods with variable number of working nodes")

Question: Please tell me which class the source paper 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)