ltaic (PV) electricity production from an intermittent Since 1978, compressed air energy storage (CAES) compressed air can then be released on demand to the CAES plant’s turbo-generator set to generate premium value electricity. The first CAES plant was built in broadened in the ittency of wind g

costs can be surprisingly large. This paper investigates methods of pruning sampled documents to reduce storage costs. The experimental results demonstrate that disk storage costs can be reduced by 54-93% while causing only minor losses in federated search accuracy.

. This approach extends the nearest neighbor algorithm, which has large storage requirements. We describe how storage requirements can be significantly reduced with, at most, minor sacrifices in learning rate and classification accuracy. While the storage-reducing algorithm performs well on several realworld

storage space and keep the computational cost of each iteration low. On

This paper presents a new technique for disk storage management called a log-structured file system. A logstructured file system writes all modifications to disk sequentially in a log-like structure, thereby speeding up both file writing and crash recovery. The log is the only structure on disk

to reexamine traditional choices and explore rad-ically different design points. The file system has successfully met our storage needs. It is widely deployed within Google as the storage platform for the generation and processing of data used by our ser-vice as well as research and development efforts

, motivate changes in the areas of cache validation, server process structure, name translation, and low-level storage representation, and quantitatively demonstrate Andrew’s ability to scale gracefully. We establish the importance of whole-file transfer and caching in Andrew by comparing its performance

The 20th ACM Conference on Computer and Communications Security (CCS),

covered include: the choice of cost function and robustness; numerical optimization including sparse Newton methods, linearly convergent approximations, updating and recursive methods; gauge (datum) invariance; and quality control. The theory is developed for general robust cost functions rather than

Emerging high-performance applications require the ability to exploit diverse, geographically distributed resources. These applications use high-speed networks to integrate supercomputers, large databases, archival storage devices, advanced visualization devices, and/or scientific instruments