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: "the computational and storage potential of volunteer computing"
  Abstract: Volunteer computing uses Internet-connected computers, volunteered by their owners, as a source of computing power and storage. This paper studies the potential capacity of volunteer computing. We analyzed measurements of over 330,000 hosts participating in a volunteer computing project. These measurements include processing power, memory, disk space, network throughput, host availability, user-specified limits on resource usage, and host churn. We show that volunteer computing can support applications that are significantly more data-intensive, or have larger memory and storage requirements, than those in current projects.

Connected through hyperedge HE-1 (induced by source paper "a stochastic game framework for analyzing computational investment strategies in distributed computing with application to blockchain mining"):
  with members:
    - "optimal pricing based edge computing resource management in mobile blockchain"
    - "blockchain mining games"

Connected through hyperedge HE-2 (induced by source paper "synergy of volunteer measurements and volunteer computing for effective data collecting processing simulating and analyzing on a worldwide scale"):
  with members:
    - "imp science gateway from the portal to the hub of virtual experimental labs in materials science"
    - "complex workflow management and integration of distributed computing resources by science gateway portal for molecular dynamics simulations in materials science"
    - "from quantity to quality massive molecular dynamics simulation of nanostructures under plastic deformation in desktop and service grid distributed computing infrastructure"
    - "auger xtremweb monte carlo computation on a global computing platform"

Connected through hyperedge HE-3 (induced by source paper "correlated resource models of internet end hosts"):
  with members:
    - "dimes let the internet measure itself"

Connected through hyperedge HE-4 (induced by source paper "decentralized management of bi modal network resources in a distributed stream processing platform"):
  with members:
    - "resource allocation for multiple concurrent in network stream processing applications"
    - "towards a decentralized algorithm for mapping network and computational resources for distributed data flow computations"

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)