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: "generalization of lru cache replacement policy with applications to video streaming"
  Abstract: Caching plays a crucial role in networking systems to reduce the load on the network and has become an ubiquitous functionality available at each router. One of the commonly used mechanisms, Least Recently Used (LRU), works well for identical file sizes. However, for asymmetric file sizes, the performance deteriorates. This paper proposes an adaptation to LRU strategy, called gLRU, where the file is sub-divided into equal-sized chunks. In this strategy, a chunk of the newly requested file is added in the cache, and a chunk of the least-recently-used file is removed from the cache. Even though approximate analysis for the hit rate has been studied for LRU, the analysis does not extend to gLRU since the metric of interest is no longer the hit rate as the cache has partial files. This paper provides a novel approximation analysis for this policy where the cache may have partial file contents. The approximation approach is validated by simulations. Further, gLRU outperforms LRU strategy for Zipf file popularity distribution and censored Pareto file size distribution for the file download times. Video streaming applications can further use the partial cache contents to help the stall durations significantly, and the numerical results indicate significant improvements (29\%) in stall durations using the gLRU strategy as compared to the LRU strategy.

Connected through hyperedge HE-1 (induced by source paper "multi tier caching analysis in cdn based over the top video streaming systems"):
  with members:
    - "fasttrack minimizing stalls for cdn based over the top video streaming systems"
    - "optimized video streaming over cloud a stall quality trade off"
    - "video streaming in distributed erasure coded storage systems stall duration analysis"
    - "joint latency and cost optimization for erasure coded data center storage"
    - "sprout a functional caching approach to minimize service latency in erasure coded storage"
    - "a unified approach to the performance analysis of caching systems"
    - "fast cloud pushing the envelope on delay performance of cloud storage with coding"
    - "on the delay storage trade off in content download from coded distributed storage systems"

Connected through hyperedge HE-2 (induced by source paper "secure and energy efficient transmissions in cache enabled heterogeneous cellular networks performance analysis and optimization"):
  with members:
    - "cache enabled physical layer security for video streaming in backhaul limited cellular networks"
    - "safeguarding decentralized wireless networks using full duplex jamming receivers"
    - "secure video streaming in heterogeneous small cell networks with untrusted cache helpers"
    - "sprout a functional caching approach to minimize service latency in erasure coded storage"
    - "wireless caching technical misconceptions and business barriers"
    - "on edge caching with secrecy constraints"
    - "a survey on wireless security technical challenges recent advances and future trends"
    - "physical layer security in heterogeneous cellular networks"

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)