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 "online inventory management with application to energy procurement in data centers"):
  Abstract: Motivated by the application of energy storage management in electricity markets, this paper considers the problem of online linear programming with inventory management constraints. Specifically, a decision maker should satisfy some units of an asset as her demand, either form a market with time-varying price or from her own inventory. The decision maker is presented a price in slot-by-slot manner, and must immediately decide the purchased amount with the current price to cover the demand or to store in inventory for covering the future demand. The inventory has a limited capacity and its critical role is to buy and store assets at low price and use the stored assets to cover the demand at high price. The ultimate goal of the decision maker is to cover the demands while minimizing the cost of buying assets from the market. We propose BatMan, an online algorithm for simple inventory models, and BatManRate, an extended version for the case with rate constraints. Both BatMan and BatManRate achieve optimal competitive ratios, meaning that no other online algorithm can achieve a better theoretical guarantee. To illustrate the results, we use the proposed algorithms to design and evaluate energy procurement and storage management strategies for data centers with a portfolio of energy sources including the electric grid, local renewable generation, and energy storage systems.

Includes members:
  Member "introduction to online convex optimization":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "beyond ucb optimal and efficient contextual bandits with regression oracles")
  Member "optimal posted prices for online cloud resource allocation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the posted pricing in crowdsourcing power of bonus")
  Member "cost minimizing online algorithms for energy storage management with worst case guarantee":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "online algorithm for demand response with inelastic demands and apparent power constraint")
  Member "risk sensitive learning and pricing for demand response":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "online learning for network constrained demand response pricing in distribution systems")
  Member "peak aware online economic dispatching for microgrids":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "multi agent meta reinforcement learning for self powered and sustainable edge computing systems")
  Member "reducing electricity demand charge for data centers with partial execution":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "learning assisted competitive algorithms for peak aware energy scheduling")
  Member "dynamic provisioning in next generation data centers with on site power production":
    also connected through other hyperedges:
      (none)
  Member "optimal power cost management using stored energy in data centers":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "residential energy storage management with bidirectional energy control")

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.DS(Data Structures and Algorithms)