Hierarchical storage subsystems that include multiple layers of burst buffers (BB) and disk-
based parallel file systems (PFS), are becoming an essential part of HPC systems to …

High performance computing (HPC) architectures have been adding new layers of storage,
such as burst buffers, to tolerate latency between memory and disk-based file systems …

Distributed burst buffers are a promising storage architecture for handling I/O workloads for
exascale computing. Their aggregate storage bandwidth grows linearly with system node …

The largest-scale high-performance (HPC) systems are stretching parallel file systems to
their limits in terms of aggregate bandwidth and numbers of clients. To further sustain the …

Hadoop Distributed File System (HDFS) is the underlying storage engine of many Big Data
processing frameworks such as Hadoop MapReduce, HBase, Hive, and Spark. Even though …

Modern High-Performance Computing (HPC) systems are adding extra layers to the memory
and storage hierarchy named deep memory and storage hierarchy (DMSH), to increase I/O …

The limitation of local storage space in the HPC environments has placed an unprecedented
demand on the performance of the underlying shared parallel file systems. This has …

The growth of computing power on large-scale systems requires commensurate high-
bandwidth I/O systems. Many parallel file systems are designed to provide fast sustainable …

The growing computing power on leadership HPC systems is often accompanied by ever-
escalating failure rates. Checkpointing is a common defensive mechanism used by scientific …

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 …