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 "internet of things iot and cloud computing enabled disaster management"):
  Abstract: Disaster management demands a near real-time information dissemina-tion so that the emergency services can be provided to the right people at the right time. Recent advances in information and communication technologies enable collection of real-time information from various sources. For example, sensors deployed in the fields collect data about the environment. Similarly, social networks like Twitter and Facebook can help to collect data from people in the disaster zone. On one hand, inadequate situation awareness in disasters has been identified as one of the primary factors in human errors with grave consequences such as loss of lives and destruction of critical infrastructure. On the other hand, the growing ubiquity of social media and mobile devices, and pervasive nature of the Internet-of-Things means that there are more sources of outbound traffic, which ultimately results in the creation of a data deluge, beginning shortly after the onset of disaster events, leading to the problem of information tsunami. In addition, security and privacy has crucial role to overcome the misuse of the system for either intrusions into data or overcome the misuse of the information that was meant for a specified purpose. .... In this chapter, we provide such a situation aware application to support disaster management data lifecycle, i.e. from data ingestion and processing to alert dissemination. We utilize cloud computing, Internet of Things and social computing technologies to achieve a scalable, effi-cient, and usable situation-aware application called Cloud4BigData.

Includes members:
  Member "cross layer multi cloud real time application qos monitoring and benchmarking as a service framework":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "alpine a bayesian system for cloud performance diagnosis and prediction")
  Member "the anatomy of big data computing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "joint communication computation caching and control in big data multi access edge computing")
  Member "multi cloud resource provisioning with aneka a unified and integrated utilisation of microsoft azure and amazon ec2 instances":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "an api for development of user defined scheduling algorithms in aneka paas cloud software user defined schedulers in aneka paas cloud software")
  Member "a cloud infrastructure service recommendation system for optimizing real time qos provisioning constraints":
    also connected through other hyperedges:
      (none)
  Member "big data computing and clouds":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "authentication access control privacy threats and trust management towards securing fog computing environments a review")
  Member "exploiting social navigation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "sadan scalable adversary detection in autonomous networks")

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.CY(Computers and Society)