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: "analysis and clustering of workload in google cluster trace based on resource usage"
  Abstract: Cloud computing has gained interest amongst commercial organizations, research communities, developers and other individuals during the past few years.In order to move ahead with research in field of data management and processing of such data, we need benchmark datasets and freely available data which are publicly accessible. Google in May 2011 released a trace of a cluster of 11k machines referred as Google Cluster Trace.This trace contains cell information of about 29 days.This paper provides analysis of resource usage and requirements in this trace and is an attempt to give an insight into such kind of production trace similar to the ones in cloud environment.The major contributions of this paper include Statistical Profile of Jobs based on resource usage, clustering of Workload Patterns and Classification of jobs into different types based on k-means clustering.Though there have been earlier works for analysis of this trace, but our analysis provides several new findings such as jobs in a production trace are trimodal and there occurs symmetry in the tasks within a long job type

Connected through hyperedge HE-1 (induced by source paper "resource aware min min ramm algorithm for resource allocation in cloud computing environment"):
  with members:
    - "an nbdmmm algorithm based framework for allocation of resources in cloud"

Connected through hyperedge HE-2 (induced by source paper "exploring non homogeneity and dynamicity of high scale cloud through hive and pig"):
  with members:
    - "an effective framework for managing university data using a cloud based environment"
    - "recent developments in cloud based systems state of art"
    - "an nbdmmm algorithm based framework for allocation of resources in cloud"
    - "a decision matrix and monitoring based framework for infrastructure performance enhancement in a cloud based environment"

Connected through hyperedge HE-3 (induced by source paper "an effective framework for managing university data using a cloud based environment"):
  with members:
    - "recent developments in cloud based systems state of art"
    - "an nbdmmm algorithm based framework for allocation of resources in cloud"
    - "a decision matrix and monitoring based framework for infrastructure performance enhancement in a cloud based environment"

Connected through hyperedge HE-4 (induced by source paper "seeking black lining in cloud"):
  with members:
    - "a decision matrix and monitoring based framework for infrastructure performance enhancement in a cloud based environment"

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)