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: "cost of virtual machine live migration in clouds a performance evaluation"
  Abstract: Virtualization has become commonplace in modern data centers, often referred as "computing clouds". The capability of virtual machine live migration brings benefits such as improved performance, manageability and fault tolerance, while allowing workload movement with a short service downtime. However, service levels of applications are likely to be negatively affected during a live migration. For this reason, a better understanding of its effects on system performance is desirable. In this paper, we evaluate the effects of live migration of virtual machines on the performance of applications running inside Xen VMs. Results show that, in most cases, migration overhead is acceptable but cannot be disregarded, especially in systems where availability and responsiveness are governed by strict Service Level Agreements. Despite that, there is a high potential for live migration applicability in data centers serving modernInternet applications. Our results are based on a workload covering the domain of multi-tier Web 2.0 applications.

Connected through hyperedge HE-1 (induced by source paper "management and orchestration of network slices in 5g fog edge and clouds"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "bandwidth management vms live migration in wireless fog computing for 5g networks"
    - "fog computing based radio access networks issues and challenges"
    - "what will 5g be"
    - "software defined cloud computing architectural elements and open challenges"

Connected through hyperedge HE-2 (induced by source paper "toward reliable and rapid elasticity for streaming dataflows on clouds"):
  with members:
    - "model driven scheduling for distributed stream processing systems"
    - "integrative dynamic reconfiguration in a parallel stream processing engine"

Connected through hyperedge HE-3 (induced by source paper "a game theoretic framework for the virtual machines migration timing problem"):
  with members:
    - "flip the cloud cyber physical signaling games in the presence of advanced persistent threats"

Connected through hyperedge HE-4 (induced by source paper "virtual machine migration enabled cloud resource management a challenging task"):
  with members:
    - "sla oriented resource provisioning for cloud computing challenges architecture and solutions"

Connected through hyperedge HE-5 (induced by source paper "memory dos attacks in multi tenant clouds severity and mitigation"):
  with members:
    - "a placement vulnerability study in multi tenant public clouds"

Connected through hyperedge HE-6 (induced by source paper "patterns in the chaos a study of performance variation and predictability in public iaas clouds"):
  with members:
    - "jcloudscale closing the gap between iaas and paas"
    - "early observations on performance of google compute engine for scientific computing"
    - "on a catalogue of metrics for evaluating commercial cloud services"
    - "reliability of computational experiments on virtualised hardware"

Connected through hyperedge HE-7 (induced by source paper "improving quality of service and reducing power consumption with wan accelerator in cloud computing environments"):
  with members:
    - "reducing total power consumption method in cloud computing environments"

Connected through hyperedge HE-8 (induced by source paper "a real time group auction system for efficient allocation of cloud internet applications"):
  with members:
    - "power efficient resource allocation for clouds using ant colony framework"

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)