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: "feedback scheduling an event driven paradigm"
  Abstract: Embedded computing systems today increasingly feature resource constraints and workload variability, which lead to uncertainty in resource availability. This raises great challenges to software design and programming in multitasking environments. In this paper, the emerging methodology of feedback scheduling is introduced to address these challenges. As a closed-loop approach to resource management, feedback scheduling promises to enhance the flexibility and resource efficiency of various software programs through dynamically distributing available resources among concurrent tasks based on feedback information about the actual usage of the resources. With emphasis on the behavioral design of feedback schedulers, we describe a general framework of feedback scheduling in the context of real-time control applications. A simple yet illustrative feedback scheduling algorithm is given. From a programming perspective, we describe how to modify the implementation of control tasks to facilitate the application of feedback scheduling. An event-driven paradigm that combines time-triggered and event-triggered approaches is proposed for programming of the feedback scheduler. Simulation results argue that the proposed event-driven paradigm yields better performance than time-triggered paradigm in dynamic environments where the workload varies irregularly and unpredictably.

Connected through hyperedge HE-1 (induced by source paper "cyber physical control over wireless sensor and actuator networks with packet loss"):
  with members:
    - "network qos management in cyber physical systems"
    - "fuzzy logic control based qos management in wireless sensor actuator networks"
    - "wireless sensor actuator network design for mobile control applications"
    - "flexible time triggered sampling in smart sensor based wireless control systems"
    - "qos challenges and opportunities in wireless sensor actuator networks"

Connected through hyperedge HE-2 (induced by source paper "cross layer adaptive feedback scheduling of wireless control systems"):
  with members:
    - "feedback scheduling of priority driven control networks"
    - "fuzzy logic control based qos management in wireless sensor actuator networks"
    - "wireless sensor actuator network design for mobile control applications"
    - "flexible time triggered sampling in smart sensor based wireless control systems"
    - "qos challenges and opportunities in wireless sensor actuator networks"

Connected through hyperedge HE-3 (induced by source paper "network qos management in cyber physical systems"):
  with members:
    - "fuzzy logic control based qos management in wireless sensor actuator networks"
    - "wireless sensor actuator network design for mobile control applications"
    - "flexible time triggered sampling in smart sensor based wireless control systems"
    - "qos challenges and opportunities in wireless sensor actuator networks"

Connected through hyperedge HE-4 (induced by source paper "qos challenges and opportunities in wireless sensor actuator networks"):
  with members:
    - "fuzzy logic control based qos management in wireless sensor actuator networks"
    - "wireless sensor actuator network design for mobile control applications"
    - "flexible time triggered sampling in smart sensor based wireless control systems"

Connected through hyperedge HE-5 (induced by source paper "fuzzy feedback scheduling of resource constrained embedded control systems"):
  with members:
    - "neural feedback scheduling of real time control tasks"

Connected through hyperedge HE-6 (induced by source paper "performance aware power management in embedded controllers with multiple voltage processors"):
  with members:
    - "control theoretic dynamic voltage scaling for embedded controllers"

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.OS(Operating Systems)