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 "in network congestion aware load balancing at transport layer"):
  Abstract: Load balancing at transport layer is an important function in data centers, content delivery networks, and mobile networks. This function has unique requirements and greatly impacts the end users' experience. Recent studies in the field have identified per-connection consistency (PCC) as the main requirement to produce efficient L4 load balancing and have proposed various solutions to achieve that goal. This paper identifies load imbalance among service instances as the main cause of additional processing times. Furthermore, existing load balancers rely on one of two methods: host-level traffic redirection, which may add as much as 8.5% additional traffic to underlying networks, or connection tracking, which consumes a considerable amount of memory in load balancers and is prone to denial of service attacks. Both of these methods result in inefficient usage of networking resources. #R##N#We propose the In-Network Congestion-Aware load Balancer (INCAB) to achieve even load distribution and optimize network resources used for load balancing in addition to meeting the PCC requirement. We show that our congestion-aware solution capable of identifying and monitoring each instance's most-utilized resource improves the load distribution among all service instances. Our solution utilizes a Bloom filter and an ultra-compact connection table for in-network flow distribution and does not rely on end hosts for traffic redirection. Our flow level simulations show that INCAB improves flows' average completion time by 9.5%.

Includes members:
  Member "enabling mobility in lte compatible mobile edge computing with programmable switches":
    also connected through other hyperedges:
      (none)
  Member "spotlight scalable transport layer load balancing for data center networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "enabling mobility in lte compatible mobile edge computing with programmable switches")

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)