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 "security and privacy aspects in mapreduce on clouds a survey"):
  Abstract: MapReduce is a programming system for distributed processing large-scale data in an efficient and fault tolerant manner on a private, public, or hybrid cloud. MapReduce is extensively used daily around the world as an efficient distributed computation tool for a large class of problems, e.g., search, clustering, log analysis, different types of join operations, matrix multiplication, pattern matching, and analysis of social networks. Security and privacy of data and MapReduce computations are essential concerns when a MapReduce computation is executed in public or hybrid clouds. In order to execute a MapReduce job in public and hybrid clouds, authentication of mappers-reducers, confidentiality of data-computations, integrity of data-computations, and correctness-freshness of the outputs are required. Satisfying these requirements shield the operation from several types of attacks on data and MapReduce computations. In this paper, we investigate and discuss security and privacy challenges and requirements, considering a variety of adversarial capabilities, and characteristics in the scope of MapReduce. We also provide a review of existing security and privacy protocols for MapReduce and discuss their overhead issues.

Includes members:
  Member "assignment problems of different sized inputs in mapreduce":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey on geographically distributed big data processing using mapreduce")
  Member "computing marginals using mapreduce":
    also connected through other hyperedges:
      (none)
  Member "meta mapreduce a technique for reducing communication in mapreduce computations":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a survey on geographically distributed big data processing using mapreduce")
  Member "on the computational complexity of mapreduce":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "equivalence classes and conditional hardness in massively parallel computations")
  Member "the family of mapreduce and large scale data processing systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey on big data for network traffic monitoring and analysis")
  Member "enumerating subgraph instances using map reduce":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey of community search over big graphs")
  Member "efficient processing of k nearest neighbor joins using mapreduce":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a survey on geographically distributed big data processing using mapreduce")
  Member "efficient multi way theta join processing using mapreduce":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a survey on geographically distributed big data processing using mapreduce")

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.DB(Databases)