A content delivery network may provide content items to requesting devices using a popularity-based distribution hierarchy. A central analysis system may determine popularity data for a content item stored in a first caching device. The central analysis system may determine that a change in the popularity data is beyond a threshold value. The central analysis system may then transmit an instruction to move the content item from the first caching device to a second caching device in a different tier of caching devices than the first caching device. The central analysis system may update a content index to indicate that the content item has been moved to the second caching device. A user device may be redirected to request the content item directly from the second caching device.

Techniques for efficiently storing client data blocks on a distributed-computing system are provided. The system includes a fast performance tier and a large capacity tier. The capacity tier stores the client data blocks in erasure encoded data stripes. The performance tier stores logical map data including an address map indicating a correspondence between logical addresses associated with a first layer of the system and physical addresses associated with a second layer. A method includes receiving a request to include additional client data blocks in the client blocks. The request indicates logical addresses for additional blocks. Corresponding physical addresses for additional block are determined. Each additional block is stored at the physical address. Additional logical map data is stored in the performance tier. Storing the additional logical map data includes updating the address map to indicate the correspondence between the logical addresses and the physical addresses for the additional blocks.

In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: receive performance information for a base workload; determine multiple threshold values of multiple storage media layers of each IHS of a storage cluster based at least on the performance information for the base workload and multiple inventory information respectively associated with multiple storage media layers of each IHS of the storage cluster; receive multiple condition values respectively associated with the multiple storage media layers of an IHS of the storage cluster; determine that a condition value of the multiple condition values associated with a storage media layer of the multiple storage media layers is at or below a threshold value of the multiple threshold values associated with the storage media layer of the multiple storage media layers; and reduce a storage workload of a specific IHS of the storage cluster.

Memory access control, as described herein, can leverage persistent memory to store data that is generally stored in a non-persistent memory. An example method for memory access control can include receiving, by control circuitry resident on a memory device, a memory access request targeting an address of a volatile (e.g., non-persistent) memory component of the memory device and determining characteristics of data associated with the targeted address. The method can further include accessing data at the targeted address of the volatile memory component in response to determining that the characteristics of the data meet a first criterion and accessing data at another address of a non-volatile memory component in response to determining that the characteristics of the data meet a second criterion.

One or more memory systems, architectural structures, and/or methods of storing information in memory devices is disclosed to improve the data bandwidth and or to reduce the load on the communication links. The system may include one or more memory devices, one or more memory control circuits and one or more data buffer circuits. The memory system, architectural structure and/or method improves the ability of the communications links to transfer data downstream to the data buffer circuits. The memory control circuit receives a store command and a store data tag (Host tag) from a Host and sends the store data command and the store data tag to the data buffer circuits. No store data tag or control signal is sent over the communication links between the Host and the data buffer circuits, only data is sent over the communication links between the Host and the data buffer circuits.

A computer device reads an indicator from a configuration file that identifies a granularity of units of data at which to track validity. The granularity is one of a plurality of granularities ranging from one unit of data to many units of data. The computer device generates a machine-readable file configured to cause a processing device of a memory system to track validity at the identified granularity using a plurality of data validity counters with each data validity counter in the plurality of data validity counters tracking validity of a group of units of data at the identified granularity. The computer device transfers the machine-readable file to a memory of the memory system.

A computerized-method for determining and utilizing an effectiveness of lifecycle-management for storage of interactions-related objects, is provided herein. In a computerized system that is communicating with a multi-tier storage in a cloud-environment having a lifecycle-rules data-storage to store one or more lifecycle-rules, operating a Retention Effectiveness Calculation (REC) module. The operating of the REC module includes: (i) retrieving all lifecycle-rules from the lifecycle-rules data-storage; (ii) for each lifecycle-rule in the lifecycle rules data-storage calculating a Rule Effectiveness Score (RES); (iii) grouping all the calculated RES by media type; (iv) for each media type, calculating an Object Retention Score (ORS) for the media type; (v) dividing an aggregation of the ORS of all media types by a total number of media types to yield a total ORS for a contact-center; and (vi) displaying via a display unit the total ORS of the contact-center.

Systems, apparatuses, and methods related to object management in tiered memory systems are discussed. An example method can include writing a memory object to a first memory device of a first type of memory medium. The example method can include determining that a size of the memory object meets or exceeds a threshold data size. The example method can include writing the memory object to a second memory device that comprises a second type of memory medium different than the first type. The first memory medium can be a non-volatile memory comprising phase-change memory or resistive random access memory (RAM) and the second memory medium can be NAND Flash or NOR Flash.

Storage systems are disclosed. For instance, a storage system comprises a first storage device of a first type and a second storage device of a second type, and the first storage device has a higher access velocity than the second storage device. A threshold indicating a volume limit of data stored in the first storage device can be determined. Data, which is specified by a write request for writing data to the storage system, is written to the first storage device in response to determining the data amount in the first storage device is lower than the threshold. A read request from a client device is processed based on data stored in the first storage device. Consequently, the first storage device with a higher access velocity in the storage system may be utilized as much as possible, so that storage device latency in the storage system is managed more effectively.

Techniques for storage management involve: in accordance with a determination that an input/output (I/O) request of a storage system is received, determining a target storage device to which the I/O request is directed. The techniques further involve: in accordance with a determination that the target storage device is a storage device of a first type, processing the I/O request by accessing a memory of the storage system. The techniques further involve: in accordance with a determination that the target storage device is a storage device of a second type different from the first type, processing the I/O request without accessing the memory, the storage device of the second type having an access speed higher than that of the storage device of the first type. Accordingly, such techniques can improve performance of a storage system.