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 "exploiting data reduction principles in cloud based data management for cryo image data"):
  Abstract: Cloud computing is a cost-effective way for start-up life sciences laboratories to store and manage their data. However, in many instances the data stored over the cloud could be redundant which makes cloud-based data management inefficient and costly because one has to pay for every byte of data stored over the cloud. Here, we tested efficient management of data generated by an electron cryo microscopy (cryoEM) lab on a cloud-based environment. The test data was obtained from cryoEM repository EMPIAR. All the images were subjected to an in-house parallelized version of principal component analysis. An efficient cloud-based MapReduce modality was used for parallelization. We showed that large data in order of terabytes could be efficiently reduced to its minimal essential self in a cost-effective scalable manner. Furthermore, on-spot instance on Amazon EC2 was shown to reduce costs by a margin of about 27 percent. This approach could be scaled to data of any large volume and type.

Includes members:
  Member "recent developments in cloud based systems state of art":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "bamhealthcloud a biometric authentication and data management system for healthcare data in cloud")
  Member "a decision matrix and monitoring based framework for infrastructure performance enhancement in a cloud based environment":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exploring non homogeneity and dynamicity of high scale cloud through hive and pig")
  Member "monetary cost optimizations for hosting workflow as a service in iaas clouds":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multiple workflows scheduling in multi tenant distributed systems a taxonomy and future directions")

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.DC(Distributed, Parallel, and Cluster Computing)