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: "pibooster performance accelerations in page table management for paravirtual vms"
  Abstract: In paravirtualization, the page table management components of guest operating systems are properly patched for the security guarantees of the hypervisor. However, none of them pay enough attention to the performance improvements, which results in two noticeable performance issues. First, such security patches exacerbate the problem that the execution paths of the guest page table (de)allocations become extremely long, which would consequently increase the latencies of process creations and exits. Second, the patches introduce many additional IOTLB flushes, leading to extra IOTLB misses, and the misses would have negative impacts on I/O performance of all peripheral devices. In this paper, we propose PiBooster, a novel lightweight approach for improving the performance in the page table management. First, PiBooster shortens the execution paths of the page table (de)allocations by PiBooster cache, which maintains dedicated buffers for serving page table (de)allocations. Second, PiBooster eliminates the additional IOTLB misses with a fine-grained validation scheme, which performs guest and DMA validations separately, instead of doing both together. We implement a prototype on Xen with Linux as the guest kernel. We also evaluate the performance effects of PiBooster. Firstly, PiBooster is able to completely eliminate the additional IOTLB flushes in the workload-stable environments, and effectively reduces (de)allocation time of the page table by 47% on average. Expectedly, the latencies of the process creations and exits are reduced by 16% on average. Besides, the SPECINT, netperf and lmbench results indicate that PiBooster has no negative performance impacts on CPU computation, network I/O, and disk I/O.

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.OS(Operating Systems)