Multi-tier systems that combine SSDs with SAS/FC and/or SATA disks mitigate the capital
cost burden of SSDs, while benefiting from their superior I/O performance per unit cost and …

Hybrid storage systems (HSS) use multiple different storage devices to provide high and
scalable storage capacity at high performance. Data placement across different devices is …

Relational database systems are purpose-built for a specific storage device class (eg, HDD,
SSD, or DRAM). They do not cope well with the multitude of storage devices that are …

Data center storage architectures face rapidly increasing demands for data volume and
quality of service requirements today. Hybrid storage systems have turned out to be the one …

Emerging applications produce massive files that show different properties in file size,
lifetime, and read/write frequency. Existing hybrid storage systems place these files onto …

A promising trend in storage management for big data frameworks, such as Hadoop and
Spark, is the emergence of heterogeneous and hybrid storage systems that employ different …

Scheduling a proposed additional data transfer from one or more source storage devices to
one or more target storage devices. A computer receives a request for the proposed …

Managing a data transfer from one or more source storage devices to one or more target
storage devices. The data transfer comprises concurrent transfer of a multiplicity of data units …

A major obstacle in sustaining high performance and scalability in the Hadoop data
processing framework is managing the growing data and the need for very high I/O rates …

Scientific workflows are increasingly used in High Performance Computing (HPC)
environments to manage complex simulation and analyses, often consuming and …