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 "resource management techniques for cloud based iot environment"):
  Abstract: Internet of Things (IoT) is an Internet-based environment of connected devices and applications. IoT creates an environment where physical devices and sensors are flawlessly combined into information nodes to deliver innovative and smart services for human-being to make their life easier and more efficient. The main objective of the IoT devices-network is to generate data, which are converted into useful information by the data analysis process, it also provides useful resources to the end users. IoT resource management is a key challenge to ensure the quality of end user experience. Many IoT smart devices and technologies like sensors, actuators, RFID, UMTS, 3G, and GSM etc. are used to develop IoT networks. Cloud Computing plays an important role in these networks deployment by providing physical resources as virtualized resources consist of memory, computation power, network bandwidth, virtualized system and device drivers in secure and pay as per use basis. One of the major concerns of Cloud-based IoT environment is resource management, which ensures efficient resource utilization, load balancing, reduce SLA violation, and improve the system performance by reducing operational cost and energy consumption. Many researchers have been proposed IoT based resource management techniques. The focus of this paper is to investigate these proposed resource allocation techniques and finds which parameters must be considered for improvement in resource allocation for IoT networks. Further, this paper also uncovered challenges and issues of Cloud-based resource allocation for IoT environment.

Includes members:
  Member "a study of efficient energy management techniques for cloud computing environment":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a synergistic approach for internet of things and cloud integration current research and future direction")
  Member "cognitive hierarchy theory for distributed resource allocation in the internet of things":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "minimum age of information in the internet of things with non uniform status packet sizes")
  Member "focan a fog supported smart city network architecture for management of applications in the internet of everything environments":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "fog assisted cloud models for smart grid architectures comparison study and optimal deployment")
  Member "allocation of heterogeneous resources of an iot device to flexible services":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "energy aware demand selection and allocation for real time iot data trading")
  Member "a relative study of task scheduling algorithms in cloud computing environment":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a synergistic approach for internet of things and cloud integration current research and future direction")
  Member "flexible allocation of heterogeneous resources to services on an iot device":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "allocation of heterogeneous resources of an iot device to flexible services")

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.NI(Networking and Internet Architecture)