In this paper, we derive a temporal arbitrage policy for storage via reinforcement learning. Real-time price arbitrage is an important source of revenue for storage units, but designing good strategies have proven to be difficult because of the highly uncertain nature of the prices. Instead of current model predictive or dynamic programming approaches, we use reinforcement learning to design a ...

The automatic reclamation of storage for unreferenced objects is very important in object databases. Existing language system algorithms for automatic storage reclamation have been shown to be inappropriate. In this paper , we investigate methods to improve the performance of algorithms for automatic storage reclamation of object databases. These algorithms are based on a technique called parti...

The automatic reclamation of storage for unreferenced objects is very important in object databases. Existing language system algorithms for automatic storage reclamation have been shown to be inappropriate. In this paper , we investigate methods to improve the performance of algorithms for automatic storage reclamation of object databases. These algorithms are based on a technique called parti...

Large multimedia document archives hold most of their data in near-line tertiary storage libraries for cost reasons. This paper develops an integrated approach to the vertical data migration between the tertiary and secondary storage in that it reconciles speculative preloading, to mask the high latency of the tertiary storage, with the replacement policy of the secondary storage. In addition, ...

Large scale distributed applications combine network access with multiple storage and computational elements. The distributed responsibility for resource control creates new security issues, caused by the complexity of the operating environment. In particular, policies at multiple layers and locations force conventional mechanisms such as firewalls and compartmented file storage into roles wher...

The real option management of commodity storage assets is an important practical problem. Practitioners heuristically solve the resulting stochastic optimization model using the rolling intrinsic (RI) and rolling basket of spread options (RSO) policies. Combined with Monte Carlo simulation, these policies typically yield near optimal lower bound estimates on the value of storage. This paper pro...

In this paper we discuss how three different public policy measures affect water storage controlled by hydropower producing firms. In particular we discuss measures to promote competition, increase transmission capacity and rationing. The analysis is conducted within the framework of an oligopoly model where 2 hydro producing firms engage in dynamic Bertrand competition. We extend this model to...