Microsoft Technology Licensing, LLC

Other

International Business Machines Corporation

Sriram Govindan

Bryan David Kelly

Badriddine Khessib

Mark Santaniello

Anirudh Badam

Jie Jerry Liu

John Joseph Siegler

Di Wang

Sriram Sankar

Aman Kansal

Eric Clarence Peterson

Sean Michael James

Shaun L Harris

Ricardo Gouvea Bianchini

Mark A Shaw

Bikash Sharma

Woongki Baek

Chris Ong

Iyswarya Narayanan

Karthick Rajamani

Freeman Leigh Rawson, Iii

Scott Chao-Chueh Lee

J Michael Andrewartha

Brandon Aaron Rubenstein

Benjamin Franklin Cutler

Laura Marie Caulfield

Kushagra Vaid

Aishwarya Ganesan

Jaya Naga Satish Bobba

Christopher W Hoder

Myeongjae Jeon

Jie Liu

Eric Peterson

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

A fuel cell power controller tracks load current and fuel cell output voltage, and alerts on excessive fuel cell ramp rate, so another power source can supplement the fuel cell and/or the load can be reduced. A power engineering process makes efficient use of available fuel cell power by ramping up power flow rapidly when power is available, while respecting the ramp rate and other power limitations of the fuel cell and safety limitations of the load. Power flow decreases after an alert indicating an electrical output limitation of the fuel cell. Permitted power flow increases in response to a power demand increase (actual or requested) from the load in the absence of the alert. Power flow may increase or decrease in a fixed amount, a proportional amount, or per a sequence. A power controller relay may trip open on a low fuel cell output voltage or high load current.

Power modulation for fuel cell powered datacenters

A computing device may comprise a volatile memory and a non-volatile storage device. Upon system shutdown, contents of the volatile memory may be preserved by memory transfer operations from the volatile memory to the non-volatile storage device. During memory preservation, the computing device may enter a low-power state. The low-power state may comprise suspension of power to a core of a processor while maintaining power to the processor's uncore, and disablement of interrupt signals not related to memory transfer operations. Power delivery to the core of the processor may be periodically resumed to initiate additional memory transfer operations.

Power control for use of volatile memory as non-volatile memory

Disaster recovery is provided for an application that is being hosted on a current data center, thus ensuring the availability of the application. An option for replicating session state data for the application is selected. This selection is made from a set of different session state data replication options each of which has different performance and resource cost trade-offs. The selected option determines how the session state data for the application is to be replicated. The selected option is implemented, where the implementation results in the session state data for the application being replicated outside of the current data center, thus ensuring that this data remains available in the event that the current data center goes offline.

Geo-distributed disaster recovery for interactive cloud applications

Technology for handling overcurrent conditions on electrical circuits that power multiple computing modules is disclosed. Aspects of the technology include a power system adapted to provide notifications of overcurrent conditions, and computing modules adapted to reduce an operating speed thereof in response to notification of an overcurrent condition.

Low latency computer system power reduction

A computing device may comprise a processor, a volatile memory and a non-volatile storage device. An operating system or firmware of the device may cause one or more pages of the volatile memory to be treated, by applications executing on the computing device, as non-volatile memory pages. A maximum number of pages that may be treated as non-volatile may be determined based on an amount of energy available in a battery and an amount of energy needed to transfer a page of memory to the non-volatile storage device.

Use of volatile memory as non-volatile memory

Architecture that facilitates the estimation of interference among workloads (e.g., virtual machines) due to sharing of a shared resource (e.g., a shared cache of a computer processor), and optimization of a desired performance objective such as power or energy use in the presence of the interference. Estimation is to the extent of interference by characterizing the nature of shared resource usage and its effect on performance. Performance optimization is accomplished using metrics based on the above estimation, or alternatively, an explicit measurement of the interference effects. Methods are employed to estimate interference on the workload's performance with changes in availability of the shared resource or with combinations of other workloads sharing the same resource and allocating workloads to one or more physical computers or resources to workloads such that a desired performance objective is optimized. The methods can include allocating workloads on demand.

Workload interference estimation and performance optimization

Various techniques for managing power backup for computing devices are disclosed herein. In one embodiment, a method includes receiving data representing a backup capacity of one or more backup power units and data representing a backup power profile of one or more processing units sharing the one or more backup power units. A portion of the backup capacity may then be assigned to each of the one or more processing units based at least in part on both the received data representing the backup capacity of the one or more backup power units and the received data representing the profile of the one or more processing units.

Backup power management for computing systems

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

Technology relating to configurable reliability schemes for memory devices is disclosed. The technology includes a memory controller that selectively controls at least a type or an extent of a reliability scheme for at least a portion of a memory device. The technology also includes a computing device that can dynamically select and employ reliability schemes from a collection of different reliability schemes. A reliability scheme may be selected on a per-process, per-allocation request, per-page, per-cache-line, or other basis. The reliability schemes may include use of parity, use of data mirroring, use of an error correction code (ECC), storage of data without redundancy, etc.

Configurable reliability for memory devices

Embodiments of memory backup management in computing devices and associated methods of operations are disclosed therein. In one embodiment, a method of managing memory backup includes in response to a system error being detected, causing a memory controller to disengage from communicating with and controlling a hybrid memory device having a volatile memory module and a non-volatile memory module. The method can also include causing the hybrid memory device to copy data from the volatile memory module to the non-volatile memory module subsequent to disengaging the memory controller communicating with and controlling the storage device and without operating the main processor and the memory controller.

Memory backup management in computing systems

Growing community of inventors

Redmond, WA, United States of America

Sriram Govindan