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: "cloud computing and grid computing 360 degree compared"
  Abstract: Cloud computing has become another buzzword after Web 2.0. However, there are dozens of different definitions for cloud computing and there seems to be no consensus on what a cloud is. On the other hand, cloud computing is not a completely new concept; it has intricate connection to the relatively new but thirteen-year established grid computing paradigm, and other relevant technologies such as utility computing, cluster computing, and distributed systems in general. This paper strives to compare and contrast cloud computing with grid computing from various angles and give insights into the essential characteristics of both.

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"
    - "market oriented cloud computing vision hype and reality for delivering it services as computing utilities"

Connected through hyperedge HE-2 (induced by source paper "lsq load balancing in large scale heterogeneous systems with multiple dispatchers"):
  with members:
    - "designing low complexity heavy traffic delay optimal load balancing schemes theory to algorithms"
    - "analyzing distributed join idle queue a fluid limit approach"
    - "randomized assignment of jobs to servers in heterogeneous clusters of shared servers for low delay"
    - "heavy traffic optimal resource allocation algorithms for cloud computing clusters"

Connected through hyperedge HE-3 (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-4 (induced by source paper "an efficient cloud scheduler design supporting preemptible instances"):
  with members:
    - "resource provisioning in science clouds requirements and challenges"
    - "improved cloud resource allocation how indigo datacloud is overcoming the current limitations in cloud schedulers"
    - "efficient image deployment in cloud environments"
    - "application centric resource provisioning for amazon ec2 spot instances"
    - "reliable provisioning of spot instances for compute intensive applications"
    - "provisioning spot market cloud resources to create cost effective virtual clusters"

Connected through hyperedge HE-5 (induced by source paper "predictive performance modeling for distributed batch processing using black box monitoring and machine learning"):
  with members:
    - "job placement advisor based on turnaround predictions for hpc hybrid clouds"
    - "algorithm runtime prediction methods evaluation"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"
    - "using regression techniques to predict large data transfers"

Connected through hyperedge HE-6 (induced by source paper "personal volunteer computing"):
  with members:
    - "pando personal volunteer computing in browsers"
    - "pando a volunteer computing platform for the web"
    - "the anatomy of the grid enabling scalable virtual organizations"

Connected through hyperedge HE-7 (induced by source paper "using meta heuristics and machine learning for software optimization of parallel computing systems a systematic literature review"):
  with members:
    - "benchmarking opencl openacc openmp and cuda programming productivity performance and energy consumption"
    - "combinatorial optimization of work distribution on heterogeneous systems"
    - "a self adaptive auto scaling method for scientific applications on hpc environments and clouds"

Connected through hyperedge HE-8 (induced by source paper "pando a volunteer computing platform for the web"):
  with members:
    - "not so fast analyzing the performance of webassembly vs native code"
    - "boinc a platform for volunteer computing"
    - "genet a quickly scalable fat tree overlay for personal volunteer computing using webrtc"
    - "personal volunteer computing"
    - "mlitb machine learning in the browser"
    - "the anatomy of the grid enabling scalable virtual organizations"

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)