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 "fault tolerance for service function chains"):
  Abstract: Traffic in enterprise networks typically traverses a sequence of middleboxes forming a service function chain, or simply a chain. The ability to tolerate failures when they occur along chains is imperative to the availability and reliability of enterprise applications. Service outages due to chain failures severely impact customers and cause significant financial losses. Making a chain fault-tolerant is challenging since, in the case of failures, the state of faulty middleboxes must be correctly and quickly recovered while providing high throughput and low latency. In this paper, we present FTC, a novel system design and protocol for fault-tolerant service function chaining. FTC provides strong consistency with up to f middlebox failures for chains of length f + 1 or longer without requiring dedicated replica nodes. In FTC, state updates caused by packet processing at a middlebox are collected, piggybacked onto the packet, and sent along the chain to be replicated. We implement and evaluate a prototype of FTC. Our results for a chain of 2-5 middleboxes show that FTC improves throughput by 2-3.5x compared with state of the art [50] and adds only 20 us latency overhead per middlebox. In a geo-distributed Cloud deployment, our system recovers lost state in ~271 ms.

Includes members:
  Member "correctness and performance for stateful chained network functions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "nfv platform design a survey")
  Member "moongen a scriptable high speed packet generator":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "me love syn cookies syn flood mitigation in programmable data planes")

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)