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: "efficient image deployment in cloud environments"
  Abstract: The biggest overhead for the instantiation of a virtual machine in a cloud infrastructure is the time spent in transferring the image of the virtual machine into the physical node that executes it. This overhead becomes larger for requests composed of several virtual machines to be started concurrently, and the illusion of flexibility and elasticity usually associated with the cloud computing model may vanish. This poses a problem for both the resource providers and the software developers, since tackling those overheads is not a trivial issue.In this work we implement and evaluate several improvements for virtual machine image distribution problem in a cloud infrastructure and propose a method based on BitTorrent and local caching of the virtual machine images that reduces the transfer time when large requests are made. HighlightsWe will study how the deployment of images into the physical machines poses a problem to an IaaS resource provider and how it introduces a penalty towards the users.We will discuss several image transfer methods that alleviate this problem and review the related work.We implement and evaluate some of the described methods in an existing Cloud Management Framework (CMF).We propose an improvement of the scheduling algorithm to take profit of the VM images cached at the physical nodes.

Connected through hyperedge HE-1 (induced by source paper "an efficient cloud scheduler design supporting preemptible instances"):
  with members:
    - "resource provisioning in science clouds requirements and challenges"
    - "improved cloud resource allocation how indigo datacloud is overcoming the current limitations in cloud schedulers"
    - "application centric resource provisioning for amazon ec2 spot instances"
    - "reliable provisioning of spot instances for compute intensive applications"
    - "provisioning spot market cloud resources to create cost effective virtual clusters"
    - "cloud computing and grid computing 360 degree compared"

Connected through hyperedge HE-2 (induced by source paper "genomics as a service a joint computing and networking perspective"):
  with members:
    - "network slicing for 5g with sdn nfv concepts architectures and challenges"
    - "sdxvpn a software defined solution for vpn service providers"
    - "a signaling protocol for service function localization"
    - "predicting the popularity of online content"

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)