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: "market oriented cloud computing vision hype and reality for delivering it services as computing utilities"
  Abstract: This keynote paper: presents a 21st century vision of computing; identifies various computing paradigms promising to deliver the vision of computing utilities; defines Cloud computing and provides the architecture for creating market-oriented Clouds by leveraging technologies such as VMs; provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; presents some representative Cloud platforms especially those developed in industries along with our current work towards realising market-oriented resource allocation of Clouds by leveraging the 3rd generation Aneka enterprise Grid technology; reveals our early thoughts on interconnecting Clouds for dynamically creating an atmospheric computing environment along with pointers to future community research; and concludes with the need for convergence of competing IT paradigms for delivering our 21st century vision.

Connected through hyperedge HE-1 (induced by source paper "anchoring the value of cryptocurrency"):
  with members:
    - "decentralization in bitcoin and ethereum networks"
    - "towards scaling blockchain systems via sharding"
    - "dissecting ponzi schemes on ethereum identification analysis and impact"
    - "blockchain based trust authentication for decentralized sensor networks"
    - "smart contract templates foundations design landscape and research directions"
    - "majority is not enough bitcoin mining is vulnerable"
    - "cloud computing and grid computing 360 degree compared"

Connected through hyperedge HE-2 (induced by source paper "characterizing application scheduling on edge fog and cloud computing resources"):
  with members:
    - "violet a large scale virtual environment for internet of things"
    - "adaptive energy aware scheduling of dynamic event analytics across edge and cloud resources"
    - "slaq quality driven scheduling for distributed machine learning"
    - "arm wrestling with big data a study of commodity arm64 server for big data workloads"
    - "a manifesto for future generation cloud computing research directions for the next decade"
    - "demystifying fog computing characterizing architectures applications and abstractions"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "big data and fog computing"

Connected through hyperedge HE-3 (induced by source paper "a survey on compiler autotuning using machine learning"):
  with members:
    - "less is more exploiting the standard compiler optimization levels for better performance and energy consumption"
    - "compiler phase ordering as an orthogonal approach for reducing energy consumption"
    - "a collective knowledge workflow for collaborative research into multi objective autotuning and machine learning techniques"
    - "automatically tuning the gcc compiler to optimize the performance of applications running on embedded systems"
    - "collective mind part ii towards performance and cost aware software engineering as a natural science"
    - "machine learning based auto tuning for enhanced opencl performance portability"
    - "autotuning opencl workgroup size for stencil patterns"
    - "iterative compilation on mobile devices"

Connected through hyperedge HE-4 (induced by source paper "ibrownout an integrated approach for managing energy and brownout in container based clouds"):
  with members:
    - "energy efficient scheduling of application components via brownout and approximate markov decision process"
    - "energy efficient scheduling of cloud application components with brownout"
    - "dynamic virtual machine management via approximate markov decision process"

Connected through hyperedge HE-5 (induced by source paper "apex adaptive ext4 file system for enhanced data recoverability in edge devices"):
  with members:
    - "edgelens deep learning based object detection in integrated iot fog and cloud computing environments"
    - "mobile edge computing fog et al a survey and analysis of security threats and challenges"
    - "internet of things iot a vision architectural elements and future directions"

Connected through hyperedge HE-6 (induced by source paper "a survey of fog computing and communication current researches and future directions"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "coding for distributed fog computing"
    - "the fog makes sense enabling social sensing services with limited internet connectivity"
    - "wireless caching technical misconceptions and business barriers"
    - "ifogsim a toolkit for modeling and simulation of resource management techniques in internet of things edge and fog computing environments"
    - "fog computing based radio access networks issues and challenges"
    - "the price of fog a data driven study on caching architectures in vehicular networks"

Connected through hyperedge HE-7 (induced by source paper "scalarization methods for many objective virtual machine placement of elastic infrastructures in overbooked cloud computing data centers under uncertainty"):
  with members:
    - "dynamic environments for virtual machine placement considering elasticity and overbooking"

Connected through hyperedge HE-8 (induced by source paper "performance evaluation of container based virtualization for high performance computing environments"):
  with members:
    - "rethinking high performance computing platforms challenges opportunities and recommendations"

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)