Ming-Chang Yang

TL;DR: A context-surrounding GNN framework is introduced and a new, improved GNN model, called CS-GNN, is devised to improve the use of graph information based on the smoothness values of a graph.

TL;DR: In this article, a survey of state-of-the-art garbage collection and wear-leveling designs for flash memory management in various application scenarios is presented, and future development trends of flash memory, such as the widespread adoption of higher-level flash memory and the emerging of three-dimensional (3D) flash memory architectures, are also discussed.

TL;DR: This work proposes an efficient reliability-aware wear-leveling scheme to distribute block erases based on the bit error rates of blocks so as to even out the error rate among flash blocks, to maximize the number of good blocks, and thus to ultimately prolong the lifetime of flash storage devices.

TL;DR: Evaluation of the performance of Host Aware SMR drives focuses on evaluating the special features of HA-SMR drives, such as the open zone issue and media cache cleaning efficiency, and proposes a novel host-controlled indirection buffer to enhance the drive's I/O performance.

TL;DR: This work conducts in-depth performance evaluations on HA- SMR drives with a special emphasis on the performance implications of the SMR-specific APIs and how these drives can be deployed in large storage systems and proposes a novel host-controlled buffer that can help to reduce the severity of the decline in HA-SMR performance under the authors' discovered unfavorable I/O access patterns.