Parallel file systems are often characterized by a layered architecture that decouples
metadata management from I/O operations, allowing file systems to facilitate fast concurrent …

Many massive data processing applications nowadays often need long, continuous, and
uninterrupted data accesses. Distributed file systems are used as the back-end storage to …

This paper presents an interconnected distributed architecture for storing data and metadata
in large-scale cloud storage systems. The primary goal of the proposed architecture is to …

Key–value stores are being widely used as the storage system for large-scale internet
services and cloud storage systems. However, they are rarely used in HPC systems, where …

This paper examines recent research focused on optimizing the performance of file system
metadata. File system metadata performance significantly impacts overall file system …

Hadoop is a famous distributed computing framework that is applied to process large-scale
data." Straggling tasks" have a serious impact on Hadoop performance due to imbalance of …

摘要为了弥补从大数据技术到行业应用之间的鸿沟, 针对当前行业用户对大数据处理平台的持续
扩展, 一体化和多样性需求, 提出了大数据一体机的可扩展性, 可定制性和多类型处理模型 …

The Hadoop Distributed File System (HDFS) provides scalable, high throughput and fault-
tolerant file service for Hadoop distributed frameworks. However, its single Name Node …

Most mass data processing applications nowadays often need long, continuous, and
uninterrupted data access. Parallel/distributed file systems often use multiple metadata …

Introduction: If health information systems used a common reference model to store patient
data it would ease health data exchange and achievement of semantic interoperability. Aim …