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: "live service migration in mobile edge clouds"
  Abstract: Mobile edge clouds (MECs) bring the benefits of the cloud closer to the user, by installing small cloud infrastructures at the network edge. This enables a new breed of real-time applications, such as instantaneous object recognition and safety assistance in intelligent transportation systems, that require very low latency. One key issue that comes with proximity is how to ensure that users always receive good performance as they move across different locations. Migrating services between MECs is seen as the means to achieve this. This article presents a layered framework for migrating active service applications that are encapsulated either in virtual machines (VMs) or containers. This layering approach allows a substantial reduction in service downtime. The framework is easy to implement using readily available technologies, and one of its key advantages is that it supports containers, which is a promising emerging technology that offers tangible benefits over VMs. The migration performance of various real applications is evaluated by experiments under the presented framework. Insights drawn from the experimentation results are discussed.

Connected through hyperedge HE-1 (induced by source paper "modelling fog offloading performance"):
  with members:
    - "performance estimation of container based cloud to fog offloading"
    - "defog fog computing benchmarks"
    - "resource management in fog edge computing a survey"
    - "on reducing iot service delay via fog offloading"
    - "enorm a framework for edge node resource management"
    - "challenges and opportunities in edge computing"

Connected through hyperedge HE-2 (induced by source paper "all one needs to know about fog computing and related edge computing paradigms a complete survey"):
  with members:
    - "pcamp performance comparison of machine learning packages on the edges"
    - "are fpgas suitable for edge computing"
    - "cabaret leveraging recommendation systems for mobile edge caching"
    - "edge intelligence on demand deep learning model co inference with device edge synergy"
    - "fog computing a taxonomy survey and future directions"
    - "data analytics service composition and deployment on edge devices"
    - "on reducing iot service delay via fog offloading"
    - "towards mission critical control at the edge and over 5g"

Connected through hyperedge HE-3 (induced by source paper "towards auction based function placement in serverless fog platforms"):
  with members:
    - "cloudburst stateful functions as a service"
    - "fog computing as privacy enabler"
    - "fbase a replication service for data intensive fog applications"
    - "serverless computing one step forward two steps back"
    - "dynamic service migration in mobile edge computing based on markov decision process"

Connected through hyperedge HE-4 (induced by source paper "enabling mobility in lte compatible mobile edge computing with programmable switches"):
  with members:
    - "spotlight scalable transport layer load balancing for data center networks"
    - "follow me at the edge mobility aware dynamic service placement for mobile edge computing"
    - "design of a hybrid modular switch"
    - "efficient multi user computation offloading for mobile edge cloud computing"

Connected through hyperedge HE-5 (induced by source paper "edge server placement with capacitated location allocation"):
  with members:
    - "open source rans in practice an over the air deployment for 5g mec"
    - "all one needs to know about fog computing and related edge computing paradigms a complete survey"
    - "an information theoretic analysis of hard and soft assignment methods for clustering"

Connected through hyperedge HE-6 (induced by source paper "qos aware dynamic fog service provisioning"):
  with members:
    - "enorm a framework for edge node resource management"
    - "dynamic service placement for mobile micro clouds with predicted future costs"
    - "flocking virtual machines in quest for responsive iot cloud services"

Connected through hyperedge HE-7 (induced by source paper "a dynamic service migration mechanism in edge cognitive computing"):
  with members:
    - "enabling cognitive smart cities using big data and machine learning approaches and challenges"

Connected through hyperedge HE-8 (induced by source paper "dynamic service migration in mobile edge computing based on markov decision process"):
  with members:
    - "a survey on mobile edge computing the communication perspective"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "dynamic service placement for mobile micro clouds with predicted future costs"
    - "dynamic service migration in mobile edge clouds"
    - "mobility induced service migration in mobile micro clouds"

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)