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: "the k server dual and loose competitiveness for paging"
  Abstract: Weighted caching is a generalization ofpaging in which the cost to evict an item depends on the item. We study both of these problems as restrictions of the well-knownk-server problem, which involves moving servers in a graph in response to requests so as to minimize the distance traveled.

Connected through hyperedge HE-1 (induced by source paper "cache optimization models and algorithms"):
  with members:
    - "learning to cache with no regrets"
    - "introduction to online convex optimization"
    - "cabaret leveraging recommendation systems for mobile edge caching"
    - "optimal and scalable caching for 5g using reinforcement learning of space time popularities"
    - "competitive caching with machine learned advice"
    - "online convex optimization and no regret learning algorithms guarantees and applications"
    - "show me the cache optimizing cache friendly recommendations for sequential content access"
    - "a reinforcement learning approach to proactive caching in wireless networks"

Connected through hyperedge HE-2 (induced by source paper "unbounded lower bound for k server against weak adversaries"):
  with members:
    - "the infinite server problem"
    - "fusible hsts and the randomized k server conjecture"
    - "the h k server problem on bounded depth trees"
    - "ramsey type theorems for metric spaces with applications to online problems"
    - "competitive paging algorithms"

Connected through hyperedge HE-3 (induced by source paper "relative worst order analysis a survey"):
  with members:
    - "stochastic dominance and the bijective ratio of online algorithms"
    - "online bounded analysis"
    - "probabilistic analysis of the dual next fit algorithm for bin covering"
    - "relative interval analysis of paging algorithms on access graphs"
    - "the frequent items problem in online streaming under various performance measures"
    - "access graphs results for lru versus fifo under relative worst order analysis"
    - "a comparison of performance measures via online search"
    - "list factoring and relative worst order analysis"

Connected through hyperedge HE-4 (induced by source paper "pangea monolithic distributed storage for data analytics"):
  with members:
    - "plinycompute a platform for high performance distributed data intensive tool development"
    - "lifetime based memory management for distributed data processing systems"
    - "tensorflow large scale machine learning on heterogeneous distributed systems"
    - "efficient analysis of caching strategies under dynamic content popularity"
    - "xoring elephants novel erasure codes for big data"
    - "interactive analytical processing in big data systems a cross industry study of mapreduce workloads"

Connected through hyperedge HE-5 (induced by source paper "online service with delay"):
  with members:
    - "online matching haste makes waste"
    - "tsp with time windows and service time"
    - "an optimal randomized online algorithm for reordering buffer management"
    - "a bicriteria approximation for the reordering buffer problem"
    - "approximation algorithms for orienteering with time windows"
    - "competitive paging algorithms"

Connected through hyperedge HE-6 (induced by source paper "weighted k server bounds via combinatorial dichotomies"):
  with members:
    - "on randomized memoryless algorithms for the weighted k server problem"
    - "the generalized work function algorithm is competitive for the generalized 2 server problem"
    - "on the continuous cnn problem"

Connected through hyperedge HE-7 (induced by source paper "optimal strategies for weighted ray search"):
  with members:
    - "further connections between contract scheduling and ray searching problems"
    - "online searching with turn cost"
    - "optimal constructions of hybrid algorithms"

Connected through hyperedge HE-8 (induced by source paper "the infinite server problem"):
  with members:
    - "the h k server problem on bounded depth trees"
    - "on the additive constant of the k server work function algorithm"

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.DS(Data Structures and Algorithms)