human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "a taxonomy of data grids for distributed data sharing management and processing"
  Abstract: Data Grids have been adopted as the platform for scientific communities that need to share, access, transport, process and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this paper, we discuss the key concepts behind Data Grids and compare them with other data sharing and distribution paradigms such as content delivery networks, peer-to-peer networks and distributed databases. We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation and scheduling. Finally, we map the proposed taxonomy to various Data Grid systems not only to validate the taxonomy but also to identify areas for future exploration. Through this taxonomy, we aim to categorise existing systems to better understand their goals and their methodology. This would help evaluate their applicability for solving similar problems. This taxonomy also provides a "gap analysis" of this area through which researchers can potentially identify new issues for investigation. Finally, we hope that the proposed taxonomy and mapping also helps to provide an easy way for new practitioners to understand this complex area of research.

Connected through hyperedge HE-1 (induced by source paper "scheduling in distributed systems a cloud computing perspective"):
  with members:
    - "context aware computing for the internet of things a survey"
    - "a taxonomy of workflow management systems for grid computing"
    - "gridsim a toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing"
    - "the anatomy of the grid enabling scalable virtual organizations"
    - "nimrod g an architecture for a resource management and scheduling system in a global computational grid"

Connected through hyperedge HE-2 (induced by source paper "big data computing and clouds"):
  with members:
    - "survey and analysis of production distributed computing infrastructures"
    - "interactive analytical processing in big data systems a cross industry study of mapreduce workloads"

Connected through hyperedge HE-3 (induced by source paper "grid based search technique for massive academic publications"):
  with members:
    - "on demand grid provisioning using cloud infrastructures and related virtualization tools a survey and taxonomy"
    - "cloud computing and grid computing 360 degree compared"

Connected through hyperedge HE-4 (induced by source paper "a taxonomy of performance prediction systems in the parallel and distributed computing grids"):
  with members:
    - "using regression techniques to predict large data transfers"
    - "mpich g2 a grid enabled implementation of the message passing interface"
    - "gridsim a toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing"

Connected through hyperedge HE-5 (induced by source paper "a comparative study of replication techniques in grid computing systems"):
  with members:
    - "the anatomy of the grid enabling scalable virtual organizations"
    - "nimrod g an architecture for a resource management and scheduling system in a global computational grid"

Connected through hyperedge HE-6 (induced by source paper "on the inequality of the 3v s of big data architectural paradigms a case for heterogeneity"):
  with members:
    - "the family of mapreduce and large scale data processing systems"
    - "shark sql and rich analytics at scale"

Question: Please tell me which class the center node 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)