Magnetic Nanowires for High Density Non Volatile Memories With the increasing demand in data storage in mobile applications, the MAGWIRE project is proposing a very innovative way in the field of Non Volatile Solid State Memory. The consortium from the United Kingdom, Germany, Italy, Switzerland and France aims at demonstrating the disruptive concept of the racetrack memory using perpendicular ...

Since 1998, NCSA has developed a more general and robust data format, called HDF5, which was designed to support the future demands of Earth Science, such as large data storage, performance, and flexibility. The NCSA HDF group encourages applications to use HDF5 for better performance and maintenance. See extend abstract P2.42 for more information about HDF5. In summary, HDF5 has the following ...

Today’s storage systems expose abstractions which are either too low-level (e.g., key-value store, raw-block store) that they require developers to re-invent the wheels, or too high-level (e.g., relational databases, Git) that they lack generality to support many classes of applications. In this work, we propose and implement a general distributed data storage system, called UStore, which has r...

Applications with Constrained Latency Storage Access (CLSA) are those that have large storage needs and hard constraints on the amount of latency they can tolerate. Such applications present a problem when the storage technology that is cost effective and large enough cannot meet their latency constraints for demand fetching. Examples are found in the developing field of multimedia computing an...

Side channels are communication channels that were not intended for communication and that accidentally leak information. A storage side channel leaks information through the content of the channel and not its timing behavior. Storage side channels are a large problem in networked applications since the output at the level of the protocol encoding (e.g., HTTP and HTML) often depends on data and...

We present a method for providing automated performance management for a storage array with quality of service demands. Our method dynamically configures application data to heterogeneous storage devices, taking into account response time targets for the different applications. The optimization process uses widely available coarse counter statistics. We use analytical modeling of the storage sy...

High performance storage systems like file systems, databases and persistent key value stores have very high storage I/O requirements. To maximize the efficiency of disk I/O, these systems usually make certain assumptions about the performance characteristics of the underlying storage medium, and design their disk read/write patterns accordingly. Some of the common assumptions include: sequenti...

One of the large impediments for adoption of cloud computing is perceived vendor lock-in with respect to both low-level resource management and applicationlevel storage services. Application portability is essential to both avoid lock-in as well as leverage the everchanging landscape of cloud offerings. We present a storage abstraction layer to enable applications to both utilize the highly-ava...

As the rapid development of virtualization technology, traditional data centers are gradually superseding physical machines with virtual machines (VMs) to provide services. Virtual machines hosting different applications (e.g. database server, mail server) run on the same physical host. Apart from improving hardware utilization, virtualization enables migrating applications seamlessly to a diff...

This paper describes the design and implementation of Sorrento – a self-organizing storage cluster built upon commodity components. Sorrento complements previous researches on distributed file/storage systems by focusing on incremental expandability and manageability of the system and on design choices for optimizing performance of parallel data-intensive applications with low write-sharing pat...