Today, several data-storage systems allow applications to create and manage custom metadata to improve data search and navigability in large-scale storage systems. Our thesis is that, besides improving search and navigability, custom metadata can also serve as a two-way communication mechanism between applications and the storage layer to enable cross-layer optimizations in a uniform, applicati...

This paper reviews the most important energy storage systems for applications in residential environments. Normally, these systems are associated with renewable energy in order to achieve specific characteristics, although new possibilities and challenges are implemented over them in any residential places. Nowadays, the development of such kind of energy systems represents a technical challeng...

In spite of the dramatic improvements in the cost of secondary storage, magnetic disks alone are inadequate for meeting the storage and delivery needs of many modern applications. Novel designs of storage hierarchies are needed if we wish to take advantage of the low cost of tape media but still provide reasonable performance characteristics, in the context of modern applications. Specifically,...

In article number 2001181, Jia-Qin Yang, Ye Zhou, and Su-Ting Han provide a perspective on the development of future data storage devices. Different memory techniques, operating schemes, applications in computing scenarios are reviewed.

This work studies the storage subsystem for scientific big data applications to be running on the cloud. Although cloud computing has become one of the most popular paradigms for executing data-intensive applications, the storage subsystem has not been optimized for scientific applications. In particular, many scientific applications were originally developed assuming a tightly-coupled cluster ...

Carbon nanostructures-including graphene, fullerenes, etc.-have found applications in a number of areas synergistically with a number of other materials. These multifunctional carbon nanostructures have recently attracted tremendous interest for energy storage applications due to their large aspect ratios, specific surface areas, and electrical conductivity. This succinct review aims to report ...

Tools that confidently recreate I/O workloads have become a critical requirement in designing efficient storage systems for datacenters (DCs), since potential inefficiencies get aggregated over several thousand servers. Designing performance, power and cost optimized systems requires a deep understanding of target workloads, and mechanisms to effectively model different design choices. Traditio...

Large organizations always have a strong demand for storage from data-intensive applications and instruments. In this paper, we present the design, implementation, and evaluation of a new virtual storage system, Storage@desk, which can aggregate a large number of distributed machines within an organization to provide storage services with quality of service guarantees. Because storage virtualiz...

Storage management is an area of sensor network research that is starting to attract attention. The need for storage management arises primarily in the class of sensor networks where information collected by the sensors is not relayed to observers in real-time (e.g., scientific monitoring applications). In such applications, the data must be stored, at least temporarily, within the network unti...

HSM functionality has been available with Lustre for several releases and is an important aspect for HPC systems to provide data protection, space savings, and cost efficiencies, and is especially important to the NCSA Blue Waters system. Very few operational HPC centers have deployed HSM with Lustre, and even fewer at the scale of Blue Waters. This paper will describe the goals for HSM in gene...