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 "renets toward statically optimal self adjusting networks"):
  Abstract: This paper studies the design of self-adjusting networks whose topology dynamically adapts to the workload, in an online and demand-aware manner. This problem is motivated by emerging optical technologies which allow to reconfigure the datacenter topology at runtime. Our main contribution is ReNet, a self-adjusting network which maintains a balance between the benefits and costs of reconfigurations. In particular, we show that ReNets are statically optimal for arbitrary sparse communication demands, i.e., perform at least as good as any fixed demand-aware network designed with a perfect knowledge of the future demand. Furthermore, ReNets provide compact and local routing, by leveraging ideas from self-adjusting datastructures.

Includes members:
  Member "slim fly a cost effective low diameter network topology":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "practice of streaming and dynamic graphs concepts models systems and parallelism")
  Member "datacenter traffic control understanding techniques and tradeoffs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a survey of big data machine learning applications optimization in cloud data centers and networks")
  Member "toward demand aware networking a theory for self adjusting networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "scheduling for weighted flow and completion times in reconfigurable networks")
  Member "demand aware network designs of bounded degree":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "scheduling for weighted flow and completion times in reconfigurable networks")
  Member "online balanced repartitioning":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "efficient distributed workload re embedding")
  Member "high throughput data center topology design":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "expander datacenters from theory to practice")
  Member "jellyfish networking data centers randomly":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "metteor robust multi traffic topology engineering for commercial data center networks")
  Member "competitive paging algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "online metric algorithms with untrusted predictions")

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.NI(Networking and Internet Architecture)