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: "a general theory of computational scalability based on rational functions"
  Abstract: The universal scalability law of computational capacity is a rational function Cp = P (p)=Q(p) with P (p) a linear polynomial and Q(p) a second-degree polynomial in the number of physical processors p, that has been long used for statistical modeling and prediction of computer system performance. We prove that Cp is equivalent to the synchronous throughput bound for a machinerepairman with state-dependent service rate. Simpler rational functions, such as Amdahl’s law and Gustafson speedup, are corollaries of this queue-theoretic bound. Cp is further shown to be both necessary and sucient for modeling all practical characteristics of computational scalability.

Connected through hyperedge HE-1 (induced by source paper "on the scaling of functional spaces from smart cities to cloud computing"):
  with members:
    - "spacetimes with semantics"
    - "local and global trust based on the concept of promises"
    - "on the theory of system administration"

Connected through hyperedge HE-2 (induced by source paper "a methodology for optimizing multithreaded system scalability on multi cores"):
  with members:
    - "exploring the limits of gpus with parallel graph algorithms"
    - "getting in the zone for successful scalability"

Connected through hyperedge HE-3 (induced by source paper "getting in the zone for successful scalability"):
  with members:
    - "a new interpretation of amdahl s law and geometric scalability"

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.PF(Performance)