Organizations are in the lookout for storage technologies as their systems flood with data from sensors and actuators used in IoT and many others.
FREMONT, CA: We are living in an era of data-centric computing. Technologies like artificial intelligence (AI), machine learning (ML), IoT deal with an enormous amount of data. Consequently, there emerges the need for storing this data that appears like a tsunami. Here are some of the storage technologies that will disrupt the storage market in 2020.
Software-defined storage (SDS)
A number of enterprises are considering the transition to software-defined storage (SDS) for its increased storage capacity and flexibility. SDS is designed in a way to operate on any industry-standard x86 system. It enables smarter interactions between workloads and storage, agile storage consumption, manages functionality, and allows real-time scalability. The technology virtualizes the available storage resources while providing a simplified storage management interface representing different storage pools as a unified storage resource. It has no dependencies on the underlying physical storage hardware.
It is an architecture in which data is processed at the storage device level, which reduces the quantity of data to be moved between the storage plane and the compute plane. As it allows for some processing to be performed at the storage level and not in the main memory by the host CPU, the storage technology is attracting many IT leaders. Computational storage can be used in many ways starting from using small edge devices to refine data before transferring it to the cloud to storage arrays providing data sorting for databases to rack-level systems transforming large datasets for big data applications. It is now essential in modern architecture today due to the enormous amount of raw data collected from sensors and actuators used in the Internet of Things (IoT).
Non-volatile memory express over fabrics, also known as NVMe-oF non-volatile memory express over fabrics, is a protocol specification that connects hosts to storage across a network fabric utilizing the NVMe protocol. NVMe-oF has now been widely incorporated into network architectures that provide the state-of-the-art storage protocol. When used in organizations, it will help them to support workloads that require high throughputs and low latencies. Also, the technology enables new capabilities for real-time data processing in the data center, cloud, and edge environments, helping businesses to stand ahead of their competitors in the big data environment.
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