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: "performance benchmarking and optimizing hyperledger fabric blockchain platform"
  Abstract: The rise in popularity of permissioned blockchain platforms in recent time is significant. Hyperledger Fabric is one such permissioned blockchain platform and one of the Hyperledger projects hosted by the Linux Foundation. The Fabric comprises various components such as smart-contracts, endorsers, committers, validators, and orderers. As the performance of blockchain platform is a major concern for enterprise applications, in this work, we perform a comprehensive empirical study to characterize the performance of Hyperledger Fabric and identify potential performance bottlenecks to gain a better understanding of the system. We follow a two-phased approach. In the first phase, our goal is to understand the impact of various configuration parameters such as block size, endorsement policy, channels, resource allocation, state database choice on the transaction throughput & latency to provide various guidelines on configuring these parameters. In addition, we also aim to identify performance bottlenecks and hotspots. We observed that (1) endorsement policy verification, (2) sequential policy validation of transactions in a block, and (3) state validation and commit (with CouchDB) were the three major bottlenecks. In the second phase, we focus on optimizing Hyperledger Fabric v1.0 based on our observations. We introduced and studied various simple optimizations such as aggressive caching for endorsement policy verification in the cryptography component (3x improvement in the performance) and parallelizing endorsement policy verification (7x improvement). Further, we enhanced and measured the effect of an existing bulk read/write optimization for CouchDB during state validation & commit phase (2.5x improvement). By combining all three optimizations1, we improved the overall throughput by 16x (i.e., from 140 tps to 2250 tps).

Connected through hyperedge HE-1 (induced by source paper "nsbchain a secure blockchain framework for network slicing brokerage"):
  with members:
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "from network sharing to multi tenancy the 5g network slice broker"

Connected through hyperedge HE-2 (induced by source paper "performance modeling and analysis of a hyperledger based system using gspn"):
  with members:
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "blockbench a framework for analyzing private blockchains"

Connected through hyperedge HE-3 (induced by source paper "parblockchain leveraging transaction parallelism in permissioned blockchain systems"):
  with members:
    - "fastfabric scaling hyperledger fabric to 20 000 transactions per second"
    - "trusted multi party computation and verifiable simulations a scalable blockchain approach"
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "blockchains consensus protocols in the wild"
    - "a byzantine fault tolerant ordering service for the hyperledger fabric blockchain platform"
    - "adding concurrency to smart contracts"
    - "dgcc a new dependency graph based concurrency control protocol for multicore database systems"
    - "rethinking serializable multiversion concurrency control"

Connected through hyperedge HE-4 (induced by source paper "consentio managing consent to data access using permissioned blockchains"):
  with members:
    - "parblockchain leveraging transaction parallelism in permissioned blockchain systems"
    - "fastfabric scaling hyperledger fabric to 20 000 transactions per second"
    - "a blockchain based scheme for access control in e health scenarios"
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "smart contract based access control for the internet of things"
    - "decentralized user centric access control using pubsub over blockchain"
    - "secure and trustable electronic medical records sharing using blockchain"

Connected through hyperedge HE-5 (induced by source paper "lockless transaction isolation in hyperledger fabric"):
  with members:
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "blockchains consensus protocols in the wild"
    - "adding concurrency to smart contracts"
    - "serializable snapshot isolation in postgresql"
    - "a critique of ansi sql isolation levels"

Connected through hyperedge HE-6 (induced by source paper "optimizing validation phase of hyperledger fabric"):
  with members:
    - "fastfabric scaling hyperledger fabric to 20 000 transactions per second"
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "how to databasify a blockchain the case of hyperledger fabric"
    - "consensus in the age of blockchains"
    - "blockbench a framework for analyzing private blockchains"

Connected through hyperedge HE-7 (induced by source paper "distributed access control with blockchain"):
  with members:
    - "towards blockchain enabled wireless mesh networks"
    - "ipchain securing ip prefix allocation and delegation with blockchain"
    - "decentralized user centric access control using pubsub over blockchain"
    - "xft practical fault tolerance beyond crashes"

Connected through hyperedge HE-8 (induced by source paper "hyperprov decentralized resilient data provenance at the edge with blockchains"):
  with members:
    - "fastfabric scaling hyperledger fabric to 20 000 transactions per second"
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "the approach to managing provenance metadata and data access rights in distributed storage using the hyperledger blockchain platform"
    - "towards blockchain enabled wireless mesh 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.DC(Distributed, Parallel, and Cluster Computing)