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: "dynamic service placement for mobile micro clouds with predicted future costs"
  Abstract: Mobile micro-clouds are promising for enabling performance-critical cloud applications. However, one challenge therein is the dynamics at the network edge. In this paper, we study how to place service instances to cope with these dynamics, where multiple users and service instances coexist in the system. Our goal is to find the optimal placement (configuration) of instances to minimize the average cost over time, leveraging the ability of predicting future cost parameters with known accuracy. We first propose an offline algorithm that solves for the optimal configuration in a specific look-ahead time-window. Then, we propose an online approximation algorithm with polynomial time-complexity to find the placement in real-time whenever an instance arrives. We analytically show that the online algorithm is   $O(1)$      -competitive for a broad family of cost functions. Afterwards, the impact of prediction errors is considered and a method for finding the optimal look-ahead window size is proposed, which minimizes an upper bound of the average actual cost. The effectiveness of the proposed approach is evaluated by simulations with both synthetic and real-world (San Francisco taxi) user-mobility traces. The theoretical methodology used in this paper can potentially be applied to a larger class of dynamic resource allocation problems.

Connected through hyperedge HE-1 (induced by source paper "cooperative service caching and workload scheduling in mobile edge computing"):
  with members:
    - "joint service caching and task offloading for mobile edge computing in dense networks"
    - "computation peer offloading for energy constrained mobile edge computing in small cell networks"

Connected through hyperedge HE-2 (induced by source paper "hyedge optimal request scheduling in hybrid edge computing environment"):
  with members:
    - "a survey on mobile edge computing the communication perspective"
    - "video acceleration magnification"
    - "delay optimal computation task scheduling for mobile edge computing systems"
    - "dynamic computation offloading for mobile edge computing with energy harvesting devices"
    - "efficient multi user computation offloading for mobile edge cloud computing"

Connected through hyperedge HE-3 (induced by source paper "service placement with provable guarantees in heterogeneous edge computing systems"):
  with members:
    - "joint service caching and task offloading for mobile edge computing in dense networks"
    - "a survey on mobile edge computing the communication perspective"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "efficient multi user computation offloading for mobile edge cloud computing"

Connected through hyperedge HE-4 (induced by source paper "adaptive federated learning in resource constrained edge computing systems"):
  with members:
    - "client selection for federated learning with heterogeneous resources in mobile edge"
    - "wireless network intelligence at the edge"
    - "federated learning strategies for improving communication efficiency"
    - "adaptive communication strategies to achieve the best error runtime trade off in local update sgd"
    - "federated learning with non iid data"
    - "cooperative sgd a unified framework for the design and analysis of communication efficient sgd algorithms"
    - "a survey on mobile edge computing the communication perspective"
    - "mobile edge computing a survey on architecture and computation offloading"

Connected through hyperedge HE-5 (induced by source paper "follow me at the edge mobility aware dynamic service placement for mobile edge computing"):
  with members:
    - "edge intelligence on demand deep learning model co inference with device edge synergy"
    - "efficient resource allocation for on demand mobile edge cloud computing"
    - "exploiting massive d2d collaboration for energy efficient mobile edge computing"
    - "emm energy aware mobility management for mobile edge computing in ultra dense networks"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "toward hierarchical mobile edge computing an auction based profit maximization approach"
    - "a non stochastic learning approach to energy efficient mobility management"
    - "dynamic service migration in mobile edge clouds"

Connected through hyperedge HE-6 (induced by source paper "a taxonomy for management and optimization of multiple resources in edge computing"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "a survey on mobile edge computing the communication perspective"
    - "socially trusted collaborative edge computing in ultra dense networks"
    - "enorm a framework for edge node resource management"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "a comprehensive survey on fog computing state of the art and research challenges"
    - "analysis of an offloading scheme for data centers in the framework of fog computing"

Connected through hyperedge HE-7 (induced by source paper "resource management in fog edge computing a survey"):
  with members:
    - "edge fog cloud a distributed cloud for internet of things computations"
    - "foggy a platform for workload orchestration in a fog computing environment"
    - "a survey on mobile edge computing the communication perspective"
    - "enorm a framework for edge node resource management"
    - "edge as a service towards distributed cloud architectures"
    - "distributed deep neural networks over the cloud the edge and end devices"
    - "big data caching for networking moving from cloud to edge"
    - "decentralized computation offloading game for mobile cloud computing"

Connected through hyperedge HE-8 (induced by source paper "joint service caching and task offloading for mobile edge computing in dense networks"):
  with members:
    - "online learning for offloading and autoscaling in energy harvesting mobile edge computing"
    - "a survey on mobile edge computing the communication perspective"
    - "emm energy aware mobility management for mobile edge computing in ultra dense networks"
    - "socially trusted collaborative edge computing in ultra dense networks"
    - "energy efficient mobile edge computing in dense cellular networks"
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "delay optimal computation task scheduling for mobile edge computing systems"
    - "5g ultra dense cellular 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)