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 "broadcasting spanning forests on a multiple access channel"):
  Abstract: The problem of finding a spanning forest of a graph #N#in a distributed-processing environment is studied.#N#If an input graph is weighted, then the goal is to find #N#a minimum-weight spanning forest.#N#The processors communicate by broadcasting.#N#The output consists of the edges that make #N#a spanning forest and have been broadcast on the network.#N#Input edges are distributed among the processors, with#N#each edge held by one processor.#N##N#The underlying broadcast network is implemented as a multiple-access #N#channel.#N#If exactly one processor attempts to perform a broadcast, #N#then the broadcast is successful.#N#A message broadcast successfully is delivered to all the#N#processors in one step.#N#If more than one processors broadcast simultaneously, then the#N#messages interfere with each other and no processor can#N#receive any of them.#N##N#Optimality of algorithmic solutions is investigated,#N#by way of comparing deterministic with randomized algorithms, #N#and adaptive with oblivious ones.#N#Lower bounds are proved that either justify the optimality #N#of specific algorithms or show that the optimal performance #N#depends on a class of algorithms.

Includes members:
  Member "randomized communication in radio networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "packet oblivious stable routing in multi hop wireless networks")
  Member "performing work efficiently in the presence of faults":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fault tolerant parallel scheduling of arbitrary length jobs on a shared channel")

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.DS(Data Structures and Algorithms)