human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "a survey and taxonomy of self aware and self adaptive cloud autoscaling systems"):
  Abstract: Autoscaling system can reconfigure cloud-based services and applications, through various configurations of cloud software and provisions of hardware resources, to adapt to the changing environment at runtime. Such a behavior offers the foundation for achieving elasticity in a modern cloud computing paradigm. Given the dynamic and uncertain nature of the shared cloud infrastructure, the cloud autoscaling system has been engineered as one of the most complex, sophisticated, and intelligent artifacts created by humans, aiming to achieve self-aware, self-adaptive, and dependable runtime scaling. Yet the existing Self-aware and Self-adaptive Cloud Autoscaling System (SSCAS) is not at a state where it can be reliably exploited in the cloud. In this article, we survey the state-of-the-art research studies on SSCAS and provide a comprehensive taxonomy for this field. We present detailed analysis of the results and provide insights on open challenges, as well as the promising directions that are worth investigated in the future work of this area of research. Our survey and taxonomy contribute to the fundamentals of engineering more intelligent autoscaling systems in the cloud.

Includes members:
  Member "femosaa feature guided and knee driven multi objective optimization for self adaptive software":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "understanding the automated parameter optimization on transfer learning for cpdp an empirical study")
  Member "self adaptive trade off decision making for autoscaling cloud based services":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "how to evaluate solutions in pareto based search based software engineering a critical review and methodological guidance")
  Member "a reliable and cost efficient auto scaling system for web applications using heterogeneous spot instances":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "auto scaling web applications in clouds a taxonomy and survey")
  Member "auto scaling web applications in clouds a taxonomy and survey":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "transformative effects of iot blockchain and artificial intelligence on cloud computing evolution vision trends and open challenges")
  Member "using application data for sla aware auto scaling in cloud environments":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "survey and taxonomy of self aware and self adaptive autoscaling systems in the cloud")
  Member "online qos modeling in the cloud a hybrid and adaptive multi learners approach":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "femosaa feature guided and knee driven multi objective optimization for self adaptive software")
  Member "the handbook of engineering self aware and self expressive systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "modelling and simulation environment for self adaptive and self aware cloud architectures")
  Member "aneka a software platform for net based cloud computing":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "healthfog an ensemble deep learning based smart healthcare system for automatic diagnosis of heart diseases in integrated iot and fog computing environments")

Question: Please tell me which class the source paper 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.SE(Software Engineering)