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 "transactional partitioning a new abstraction for main memory databases"):
  Abstract: The growth in variety and volume of OLTP (Online Transaction Processing) applications poses a challenge to OLTP systems to meet performance and cost demands in the existing hardware landscape. These applications are highly interactive (latency sensitive) and require update consistency. They target commodity hardware for deployment and demand scalability in throughput with increasing clients and data. Currently, OLTP systems used by these applications provide trade-offs in performance and ease of development over a variety of applications. In order to bridge the gap between performance and ease of development, we propose an intuitive, high-level programming model which allows OLTP applications to be modeled as a cluster of application logic units. By extending transactions guaranteeing full ACID semantics to provide the proposed model, we maintain ease of application development. The model allows the application developer to reason about program performance, and to influence it without the involvement of OLTP system designers (database designers) and/or DBAs. As a result, the database designer is free to focus on efficient running of programs to ensure optimal cluster resource utilization.

Includes members:
  Member "warp lightweight multi key transactions for key value stores":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a comprehensive evaluation of rdma enabled concurrency control protocols")
  Member "can the elephants handle the nosql onslaught":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a comparative analysis of state of the art sql on hadoop systems for interactive analytics")

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.DB(Databases)