The phrase "a storage architecture" is correct and usable in written English.
It can be used when discussing the design and organization of data storage systems in computing or information technology contexts.
Example: "The company is investing in a new storage architecture to improve data retrieval speeds and efficiency."
Alternatives: "a data storage framework" or "a storage system design".
To address this issue, we propose a collaborative storage architecture model and an alternating-direction-method-of-multipliers-based collaborative storage scheduling algorithm called ACMES (Algorithm of Collaborative Mobile Edge Storage), in which heterogeneous information of nodes in mobile edge cloud is considered and integrated to make decisions.
Compared with existing works, we propose a novel storage architecture for urban surveillance and deal with challenges in a mobile scenario.
In this paper, we propose a hybrid storage architecture to store the pervasive unstructured data.
This paper introduces SCSI-to-IP cache storage (STICS), a novel storage architecture that couples reliable and high-speed data caching with low-overhead conversion between SCSI and IP protocols.
The Andrew File System (AFS) archive servers have been upgraded to more disk capacity, a redundant storage architecture and faster network connections.
By providing no single point of failure the 900 provides a resilient storage architecture.
It then uses a tiered storage architecture that caches the most often used data in memory, with less often used data on SSDs and traditional hard drives.
The result of such a networked storage architecture could fundamentally change the concept of centralized cloud storage and Content Delivery Networks (CDNs) and simplify asset management systems and lead to new powerful workflow tools.
With these new products, customers can invest in a single storage architecture that unifies application deployments on-premises and on the cloud to flexibly turn data into value virtually anywhere.
Moreover, the proposed approach works efficiently on a specific storage architecture [i.e., direct attached storage (DAS)] since iiHadoop employs locality-aware scheduling and keeps the static data partitions stored on the local disk of machines to avoid shuffling and loading them in every iteration.
