This paper presents how the Pangu storage system continuously evolves with hardware
technologies and the business model to provide high-performance, reliable storage services …

In-memory caching systems are fundamental building blocks in cloud services. However,
due to the coupled CPU and memory on monolithic servers, existing caching systems …

Billion-scale distributed file systems play an important role in modern datacenters, and it is
desirable and possible to support these file systems with a single metadata server. However …

As we move towards hyper-converged cloud solutions, the efficiency and overheads of
distributed file systems at the cloud tenant side (ie, client) become of paramount importance …

Online-transaction-processing (OLTP) applications require the underlying storage system to
guarantee consistency and serializability for distributed transactions involving large …

There is a fundamental tension between metadata scalability and POSIX semantics within
distributed file systems. The bottleneck lies in the coordination, mainly locking, used for …

Range lock enables concurrent accesses to disjoint parts of a shared storage. However,
existing range lock managers rely on centralized CPU resources to process lock requests …

The ultra-fast persistent memories (PMs) promise a practical solution towards high-
performance distributed file systems. This paper examines and reveals a cascade of three …

Modern High-Performance Computing (HPC) data centers routinely store massive data sets
resulting in millions of directories and billions of files. To efficiently search and sift through …

Large-scale distributed storage systems, such as object stores, usually apply hashing-based
placement and lookup methods to achieve scalability and resource efficiency. However …