Abstract: In embodiments of battery-backed RAM for wearable devices, a mobile device, such as a mobile phone, tablet computer, or other portable device is implemented for wireless connection with a wearable device, such as a smartwatch, exercise tracking device, glasses device, or other wearable device that implements computing technology. The wearable device can store data in battery-backed RAM in the wearable device, and the mobile device can back-up the data with battery-backed RAM in the mobile device when the data is received from the wearable device. A wireless connection can be established for wireless data communication between the wearable device and the mobile device. A data manager can detect a low battery condition of the wearable device, which initiates the data being transferred from the wearable device to the mobile device via the wireless connection.

Abstract: In embodiments of battery-backed RAM for wearable devices, a mobile device, such as a mobile phone, tablet computer, or other portable device is implemented for wireless connection with a wearable device, such as a smartwatch, exercise tracking device, glasses device, or other wearable device that implements computing technology. The wearable device can store data in battery-backed RAM in the wearable device, and the mobile device can back-up the data with battery-backed RAM in the mobile device when the data is received from the wearable device. A wireless connection can be established for wireless data communication between the wearable device and the mobile device. A data manager can detect a low battery condition of the wearable device, which initiates the data being transferred from the wearable device to the mobile device via the wireless connection.

Abstract: In embodiments of battery-backed RAM for wearable devices, a mobile device, such as a mobile phone, tablet computer, or other portable device is implemented for wireless connection with a wearable device, such as a smartwatch, exercise tracking device, glasses device, or other wearable device that implements computing technology. The wearable device can store data in battery-backed RAM in the wearable device, and the mobile device can back-up the data with battery-backed RAM in the mobile device when the data is received from the wearable device. A wireless connection can be established for wireless data communication between the wearable device and the mobile device. A data manager can detect a low battery condition of the wearable device, which initiates the data being transferred from the wearable device to the mobile device via the wireless connection.

Abstract: The techniques and/or systems described herein implement erasure coding to generate various chunks for a data collection (e.g., data chunks and at least one encoding chunk). The chunks are then distributed and stored within an individual group (e.g., a pod) of storage units, where a pod of storage units is determined based on characteristics that affect an amount of time it takes to recover a data collection or to restore lost data.

Abstract: Dynamically replicated memory is usable to allocate new memory space from failed memory pages by pairing compatible failed memory pages to reuse otherwise unusable failed memory pages. Dynamically replicating memory involves detecting and recording memory faults, reclaiming failed memory pages for later use, recovering from detected memory faults, and scheduling access to replicated memory pages.

Abstract: The subject disclosure is directed towards one or more parallel storage components for parallelizing block-level input/output associated with remote file data. Based upon a mapping scheme, the file data is partitioned into a plurality of blocks in which each may be equal in size. A translator component of the parallel storage may determine a mapping between the plurality of blocks and a plurality of storage nodes such that at least a portion of the plurality of blocks is accessible in parallel. Such a mapping, for example, may place each block in a different storage node allowing the plurality of blocks to be retrieved simultaneously and in its entirety.

Abstract: The techniques and/or systems described herein implement erasure coding to generate various chunks for a data collection (e.g., data chunks and at least one encoding chunk). The chunks are then distributed and stored within an individual group (e.g., a pod) of storage units, where a pod of storage units is determined based on characteristics that affect an amount of time it takes to recover a data collection or to restore lost data.

Abstract: In embodiments of battery-backed RAM for wearable devices, a mobile device, such as a mobile phone, tablet computer, or other portable device is implemented for wireless connection with a wearable device, such as a smartwatch, exercise tracking device, glasses device, or other wearable device that implements computing technology. The wearable device can store data in battery-backed RAM in the wearable device, and the mobile device can back-up the data with battery-backed RAM in the mobile device when the data is received from the wearable device. A wireless connection can be established for wireless data communication between the wearable device and the mobile device. A data manager can detect a low battery condition of the wearable device, which initiates the data being transferred from the wearable device to the mobile device via the wireless connection.

Abstract: Dynamically replicated memory is usable to allocate new memory space from failed memory pages by pairing compatible failed memory pages to reuse otherwise unusable failed memory pages. Dynamically replicating memory involves detecting and recording memory faults, reclaiming failed memory pages for later use, recovering from detected memory faults, and scheduling access to replicated memory pages.

Abstract: A method of sorting a dataset includes incrementally receiving data from the dataset, and incrementally storing the received data as individual input data subsets as the data is received, thereby sequentially generating a plurality of filled data subsets of unsorted data. The method includes individually sorting each filled data subset of unsorted data concurrently with receiving data for a next one of the individual input data subsets, thereby sequentially generating a plurality of sorted input data subsets, and performing a merge sort on the plurality of sorted input data subsets, thereby incrementally generating a sorted version of the dataset.

Abstract: The subject disclosure is directed towards one or more parallel storage components for parallelizing block-level input/output associated with remote file data. Based upon a mapping scheme, the file data is partitioned into a plurality of blocks in which each may be equal in size. A translator component of the parallel storage may determine a mapping between the plurality of blocks and a plurality of storage nodes such that at least a portion of the plurality of blocks is accessible in parallel. Such a mapping, for example, may place each block in a different storage node allowing the plurality of blocks to be retrieved simultaneously and in its entirety.

Abstract: A method of sorting a dataset includes incrementally receiving data from the dataset, and incrementally storing the received data as individual input data subsets as the data is received, thereby sequentially generating a plurality of filled data subsets of unsorted data. The method includes individually sorting each filled data subset of unsorted data concurrently with receiving data for a next one of the individual input data subsets, thereby sequentially generating a plurality of sorted input data subsets, and performing a merge sort on the plurality of sorted input data subsets, thereby incrementally generating a sorted version of the dataset.