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: "eci cache a high endurance and cost efficient i o caching scheme for virtualized platforms"
  Abstract: In recent years, high interest in using Virtual Machines (VMs) in data centers and Cloud computing has significantly increased the demand for high-performance data storage systems. Recent studies suggest using SSDs as a caching layer for HDD-based storage subsystems in virtualization platforms. Such studies neglect to address the endurance and cost of SSDs, which can significantly affect the efficiency of I/O caching. Moreover, previous studies only configure the cache size to provide the required performance level for each VM, while neglecting other important parameters such as cache write policy and request type, which can adversely affect both performance-per-cost and endurance. #R##N#In this paper, we present a new high-Endurance and Cost-efficient I/O Caching (ECI-Cache) scheme for virtualized platforms, which can significantly improve both the performance-per-cost and endurance of storage subsystems as opposed to previously proposed I/O caching schemes. Unlike traditional I/O caching schemes which allocate cache size only based on reuse distance of accesses, we propose a new metric, Useful Reuse Distance (URD), which considers the request type in reuse distance calculation, resulting in improved performance-per-cost and endurance for the SSD cache. Via online characterization of workloads and using URD, ECI-Cache partitions the SSD cache across VMs and is able to dynamically adjust the cache size and write policy for each VM. To evaluate the proposed scheme, we have implemented ECI-Cache in an open source hypervisor, QEMU (version 2.8.0), on a server running the CentOS 7 operating system (kernel version 3.10.0-327). Experimental results show that our proposed scheme improves the performance, performance-per-cost, and endurance of the SSD cache by 17%, 30% and 65%, respectively, compared to the state-of-the-art dynamic cache partitioning scheme.

Connected through hyperedge HE-1 (induced by source paper "evaluating reliability of ssd based i o caches in enterprise storage systems"):
  with members:
    - "architectural techniques for improving nand flash memory reliability"
    - "investigating power outage effects on reliability of solid state drives"
    - "lbica a load balancer for i o cache architectures"
    - "reca an efficient reconfigurable cache architecture for storage systems with online workload characterization"
    - "errors in flash memory based solid state drives analysis mitigation and recovery"
    - "error characterization mitigation and recovery in flash memory based solid state drives"

Connected through hyperedge HE-2 (induced by source paper "an analytical model for performance and lifetime estimation of hybrid dram nvm main memories"):
  with members:
    - "an operating system level data migration scheme in hybrid dram nvm memory architecture"
    - "banshee bandwidth efficient dram caching via software hardware cooperation"
    - "the rowhammer problem and other issues we may face as memory becomes denser"
    - "a unified approach to the performance analysis of caching systems"
    - "a versatile and accurate approximation for lru cache performance"

Connected through hyperedge HE-3 (induced by source paper "modeling impact of human errors on the data unavailability and data loss of storage systems"):
  with members:
    - "evaluating impact of human errors on the availability of data storage systems"
    - "investigating power outage effects on reliability of solid state drives"
    - "reca an efficient reconfigurable cache architecture for storage systems with online workload characterization"
    - "partial mds codes and their application to raid type of architectures"
    - "threats of human error in a high performance storage system problem statement and case study"

Connected through hyperedge HE-4 (induced by source paper "reca an efficient reconfigurable cache architecture for storage systems with online workload characterization"):
  with members:
    - "investigating power outage effects on reliability of solid state drives"
    - "hstorage db heterogeneity aware data management to exploit the full capability of hybrid storage systems"

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.AR(Hardware Architecture)