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 "survey and taxonomy of self aware and self adaptive autoscaling systems in the cloud"):
  Abstract: Autoscaling system can reconfigure cloud-based applications and services, through various cloud software configurations and hardware provisioning, to adapt to the changing environment at runtime. Such a behaviour offers the foundation to achieve elasticity in modern cloud computing paradigm. Given the importance of autoscaling in cloud, computational intelligence has been widely applied for engineering autoscaling system, leading to self-aware, self-adaptive and more dependable runtime scaling. In this paper, we present the brief background and history for autoscaling in the cloud, as well as their associations with self-awareness and self-adaptivity of a system. Subsequently, we conduct detailed survey and taxonomy of the key related work and identify the gaps in this area of research.

Includes members:
  Member "self adaptive trade off decision making for autoscaling cloud based services":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "how to evaluate solutions in pareto based search based software engineering a critical review and methodological guidance")
  Member "auto scaling web applications in clouds a taxonomy and survey":
    also connected through other hyperedges:
      - Hyperedge HE-2 (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-3 (induced by source paper "a survey and taxonomy of self aware and self adaptive cloud autoscaling systems")
  Member "online qos modeling in the cloud a hybrid and adaptive multi learners approach":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey and taxonomy of self aware and self adaptive cloud autoscaling systems")
  Member "the handbook of engineering self aware and self expressive systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "modelling and simulation environment for self adaptive and self aware cloud architectures")

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)