human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "heuristic based optimal resource provisioning in application centric cloud"):
  Abstract: Cloud Service Providers (CSPs) adapt different pricing models for their offered services. Some of the models are suitable for short term requirement while others may be suitable for the Cloud Service User's (CSU) long term requirement. In this paper, we look at the problem of finding the amount of resources to be reserved to satisfy the CSU's long term demands with the aim of minimizing the total cost. Finding the optimal resource requirement to satisfy the the CSU's demand for resources needs sufficient research effort. Various algorithms were discussed in the last couple of years for finding the optimal resource requirement but most of them are based on IPP which is NP in nature. In this paper, we derive some heuristic-based polynomial time algorithms to find some near optimal solution to the problem. We show that the cost for CSU using our approach is comparable to the solution obtained using optimal Integer Programming Problem(IPP).

Includes members:
  Member "reserved or on demand instances a revenue maximization model for cloud providers":
    also connected through other hyperedges:
      (none)
  Member "market oriented cloud computing vision hype and reality for delivering it services as computing utilities":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "anchoring the value of cryptocurrency")
  Member "cloud computing and grid computing 360 degree compared":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "anchoring the value of cryptocurrency")

Question: Please tell me which class the source paper 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)