Microsoft Technology Licensing, LLC

Other

Bikash Sharma

Badriddine Khessib

Laura Marie Caulfield

Anirudh Badam

Sriram Govindan

Iyswarya Narayanan

Jie Jerry Liu

Di Wang

Suman Kumar Nath

Benjamin Franklin Cutler

Mark Santaniello

Jian Huang

Aishwarya Ganesan

Myeongjae Jeon

Christopher W Hoder

Jaya Naga Satish Bobba

In the embodiment a determination is made, for one or more applications being executed by the computing system, of an amount of the first or second memory being used by the one or more applications. Based on the determination, a portion of the memory resources of the third memory are configured to function with the first or second memory when it is determined that the amount of the first or second memory being used by the one or more applications is not sufficient for the memory needs of the one or more applications and a portion of the memory resources of the third memory are removed from functioning with the first or second memory when it is determined that the amount of the first or second memory being used by the one or more applications is more than is needed for the memory needs of the one or more applications.

Efficient sharing of non-volatile memory

Aspects extend to methods, systems, and computer program products for predicting solid state drive reliability. Aspects of the invention can be used to predict and/or to configure a data center to minimize one or more of: SSD capacity degradation (how much storage an SSD has left), SSD performance degradation (reduced read/write latency/throughput), and SSD failure. Models and data center considerations can be based on device level SSD related operations, such as, for example, read, write, erase. Operations decisions can be made for a data center based on SSD specific features, such as, for example, remaining capacity, write amplification factor, etc. Dependence and/or causality of various different data center factors can be leveraged. The impact of the various data center factors on different SSD failure modes and capacity/performance degradation can be quantified to drive SSD design, SSD provisioning, and SSD operations.

Predicting solid state drive reliability

Operations of a variety of components of a storage system stack are redefined to make the system more efficient when the underlying media has a 'multi-log' type interface such as the case with NAND flash SSD memory or shingled magnetic recording media. The responsibilities of components of the storage system stack are modified such that each responsibility is performed at the most efficient component (level of abstraction) of the storage stack.

Data storage system with data storage devices operative to manage storage device functions specific to a particular data storage device

Various techniques of managing storage devices in a computing system are described in this application. In one embodiment, a method includes receiving an input containing consumption data representing consumption of a storage device in one of the processing units and determining if the storage device in one of the processing units is consumed excessively. In response to determining that the storage device is consumed excessively, an indicator may be generated to indicate a potential program migration from the one of the processing units to another one of the processing units in the computing system.

Storage device management in computing systems

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Bothell, WA, United States of America

Bikash Sharma