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: "optimal power cost management using stored energy in data centers"
  Abstract: Since the electricity bill of a data center constitutes a significant portion of its overall operational costs, reducing this has become important. We investigate cost reduction opportunities that arise by the use of uninterrupted power supply (UPS) units as energy storage devices. This represents a deviation from the usual use of these devices as mere transitional fail-over mechanisms between utility and captive sources such as diesel generators. We consider the problem of opportunistically using these devices to reduce the time average electric utility bill in a data center. Using the technique of Lyapunov optimization, we develop an online control algorithm that can optimally exploit these devices to minimize the time average cost. This algorithm operates without any knowledge of the statistics of the workload or electricity cost processes, making it attractive in the presence of workload and pricing uncertainties. An interesting feature of our algorithm is that its deviation from optimality reduces as the storage capacity is increased. Our work opens up a new area in data center power management.

Connected through hyperedge HE-1 (induced by source paper "online inventory management with application to energy procurement in data centers"):
  with members:
    - "introduction to online convex optimization"
    - "optimal posted prices for online cloud resource allocation"
    - "cost minimizing online algorithms for energy storage management with worst case guarantee"
    - "risk sensitive learning and pricing for demand response"
    - "peak aware online economic dispatching for microgrids"
    - "reducing electricity demand charge for data centers with partial execution"
    - "dynamic provisioning in next generation data centers with on site power production"

Connected through hyperedge HE-2 (induced by source paper "residential energy storage management with bidirectional energy control"):
  with members:
    - "real time residential side joint energy storage management and load scheduling with renewable integration"
    - "distributed real time power balancing in renewable integrated power grids with storage and flexible loads"
    - "competitive energy trading framework for demand side management in neighborhood area networks"
    - "adaptive electricity scheduling in microgrids"

Connected through hyperedge HE-3 (induced by source paper "the internet of things fog and cloud continuum integration and challenges"):
  with members:
    - "fog computing a taxonomy survey and future directions"
    - "network slicing based 5g and future mobile networks mobility resource management and challenges"
    - "mathbb echo an adaptive orchestration platform for hybrid dataflows across cloud and edge"
    - "an iot endpoint system on chip for secure and energy efficient near sensor analytics"
    - "energy efficient resource allocation for mobile edge computation offloading"
    - "from network sharing to multi tenancy the 5g network slice broker"
    - "an internet of things framework for smart energy in buildings designs prototype and experiments"
    - "internet of things iot a vision architectural elements and future directions"

Connected through hyperedge HE-4 (induced by source paper "real time residential side joint energy storage management and load scheduling with renewable integration"):
  with members:
    - "distributed real time power balancing in renewable integrated power grids with storage and flexible loads"
    - "real time welfare maximizing regulation allocation in dynamic aggregator evs system"
    - "adaptive electricity scheduling in microgrids"
    - "real time power balancing via decentralized coordinated home energy scheduling"

Connected through hyperedge HE-5 (induced by source paper "extending demand response to tenants in cloud data centers via non intrusive workload flexibility pricing"):
  with members:
    - "reducing electricity demand charge for data centers with partial execution"
    - "a taxonomy and survey of energy efficient data centers and cloud computing systems"

Connected through hyperedge HE-6 (induced by source paper "incentivizing energy trading for interconnected microgrids"):
  with members:
    - "a game theoretic approach to energy trading in the smart grid"

Connected through hyperedge HE-7 (induced by source paper "online geographical load balancing for mobile edge computing with energy harvesting"):
  with members:
    - "online learning for offloading and autoscaling in energy harvesting mobile edge computing"
    - "a survey on mobile edge computing the communication perspective"
    - "socially trusted collaborative edge computing in ultra dense networks"
    - "networked mimo with fractional joint transmission in energy harvesting systems"
    - "energy harvesting wireless communications a review of recent advances"
    - "a lyapunov optimization approach for green cellular networks with hybrid energy supplies"
    - "cooperation and storage tradeoffs in power grids with renewable energy resources"

Connected through hyperedge HE-8 (induced by source paper "optimal power control and scheduling for real time and non real time data"):
  with members:
    - "joint scheduling and power control for delay guarantees in heterogeneous cognitive radios"
    - "throughput optimization in multichannel cognitive radios with hard deadline constraints"
    - "optimal scheduling for fair resource allocation in ad hoc networks with elastic and inelastic traffic"
    - "scheduling heterogeneous real time traffic over fading wireless channels"

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.PF(Performance)