The described technology is directed towards a cache framework that accesses a tier of ordered caches, in tier order, to satisfy requests for data. The cache framework may be implemented at a front-end service level server, and/or a back end service level server, or both. The cache framework handles read-through and write-through operations, including handling batch requests for multiple data items. The cache framework also facilitates dynamically changing the tier structure, e.g., for adding, removing, replacing and/or reordering caches in the tier, e.g., by re-declaring a data structure such as an array that identifies the tiered cache configuration.

A method, system, and program product for implementing intelligent cache preloading is provided. The method includes monitoring current usage of a system of record (SOR) system. Historical data associated with historical usage of the SOR system is retrieved and analyzed based on the current usage. A ranked list of data items configured to be loaded within a cache structure of the cache system is generated and currently requested data items from the SOR system are loaded into the cache structure via a throttling process. A malfunction associated with operation of the SOR system is detected and access to the currently requested data items is enabled. The currently requested data items are organized within the cache structure in accordance with an order of the ranked list and access to the currently requested data items is enabled, during the malfunction, in accordance with the order of the ranked list.

Embodiments disclosed herein provide systems, methods, and computer-readable media to implement an object store with removable storage media. In a particular embodiment, a method provides identifying first data for storage on a first removable storage medium and designating at least a portion of the first data to a first data object. The method further provides determining a first location where to store the first data object in a first value store partition of the first removable storage medium and writing the first data object to the first location. Also, the method provides writing a first key that identifies the first data object and indicates the first location to a first key store partition of the first removable storage medium.

Provided are a computer program product, system, and method for determining cores to assign to cache hostile tasks. A computer system has a plurality of cores. Each core is comprised of a plurality of processing units and at least one cache memory shared by the processing units on the core to cache data from a memory. A task is processed to determine one of the cores on which to dispatch the task. A determination is made as to whether the processed task is classified as cache hostile. A task is classified as cache hostile when the task accesses more than a threshold number of memory address ranges in the memory. The processed task is dispatched to at least one of the cores assigned to process cache hostile tasks.

A method for compressing data in a local cache of a web server is described. A local cache compression engine accesses values in the local cache and determines a cardinality of the values of the local cache. The local cache compression engine determines a compression rate of a compression algorithm based on the cardinality of the values of the local cache. The compression algorithm is applied to the cache based on the compression rate to generate a compressed local cache.

In one example, a switch in the form of a network core switch includes one or more card slots. A cache memory device is also included that is configured to be received in one of the card slots. The switch further includes one or more storage node connection ports in communication with the cache memory device, and also includes one or more client communication ports in communication with the cache memory device.

Embodiments of a distributed caching system are disclosed that cache data across multiple computing devices on a network. In one embodiment, a first caching system serves as a caching front-end to a distributed cluster of additional caching systems. The caching systems may be spread over multiple partition groups. In one embodiment, cache writes at a cache system in one partition group are distributed to other partition groups. By propagating the cache writes across multiple partition groups, the caches at the different partition groups include more recently accessed data, thereby increasing the likelihood of cache hits.

Embodiments disclosed herein provide systems, methods, and computer-readable media to implement an object store with removable storage media. In a particular embodiment, a method provides identifying first data for storage on a first removable storage medium and designating at least a portion of the first data to a first data object. The method further provides determining a first location where to store the first data object in a first value store partition of the first removable storage medium and writing the first data object to the first location. Also, the method provides writing a first key that identifies the first data object and indicates the first location to a first key store partition of the first removable storage medium.

Combined operational steps and device characteristics help preserve data against integrity threats. Data is divided into critical data and non-critical data, based on criteria such as customer requirements, workload criticality, or virtual machine criticality. Data may be generated in a compute node for storage in a storage node, for example. Critical data is stored in a battery-backed memory aperture at physical addresses where it will be flushed ahead of the non-critical data due to a flush order imposed by or on the battery-backed memory, e.g., a bottom-up NVDIMM flush order. Redundant copies of the data (especially non-critical data) may also be kept in case it does not get flushed in time. Battery-backed memory apertures are sized and located according to their battery's characteristics, and may be relocated or resized as conditions change. Flush defragging is performed to optimize use of the aperture, especially within the portion that holds critical data.

A multi-core processor providing heterogeneous processor cores and a shared cache is presented.