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: "improving quality of service and reducing power consumption with wan accelerator in cloud computing environments"
  Abstract: The widespread use of cloud computing services is expected to deteriorate a Quality of Service and toincrease the power consumption of ICT devices, since the distance to a server becomes longer than before. Migration of virtual machines over a wide area can solve many problems such as load balancing and power saving in cloud computing environments. #R##N#This paper proposes to dynamically apply WAN accelerator within the network when a virtual machine is moved to a distant center, in order to prevent the degradation in performance after live migration of virtual machines over a wide area. mSCTP-based data transfer using different TCP connections before and after migration is proposed in order to use a currently available WAN accelerator. This paper does not consider the performance degradation of live migration itself. Then, this paper proposes to reduce the power consumption of ICT devices, which consists of installing WAN accelerators as part of cloud resources actively and increasing the packet transfer rate of communication link temporarily. It is demonstrated that the power consumption with WAN accelerator could be reduced to one-tenth of that without WAN accelerator.

Connected through hyperedge HE-1 (induced by source paper "on the development of methodology for planning and cost modeling of a wide area network"):
  with members:
    - "survivable mpls over optical transport networks cost and resource usage analysis"

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.NI(Networking and Internet Architecture)