LSM tree-based key-value stores face significant I/O bandwidth consumption and performance bottlenecks due to frequent data rewrites and migrations during compaction. To address this issue, near-data processing technology has emerged as a promising solution and is gaining increasing attention. Near-data processing reduces the data transfer distance between storage and processing resources by placing computational resources closer to storage devices or integrating them into memory, thereby effectively alleviating performance bottlenecks. However, existing multi-near-data processing (NDP) key-value stores still face synchronization problems, leading to long wait times and underutilization of resources. To address these issues, TSYS School computer scientist Yi Zhou and his colleagues from Anhui University, Zhongguancun Laboratory and Auburn University propose an asynchronous parallel compaction for multi-NDP-enabled key-value store named A+Store. In A+Store, to optimize data layout, they implement an MLSM-tree on each NDP device, an asynchronous execution queue for dynamic task management, and an independent metadata management method. This asynchronous mechanism allows each NDP device to update its metadata immediately after completing a compaction task rather than waiting for other devices, thereby eliminating synchronization waiting time among NDP devices. Additionally, as each NDP stores SSTables within specific key ranges, the device can perform sub-compaction tasks in parallel according to its key range, significantly enhancing the execution speed of tasks within each NDP device. This approach can improve the system’s parallel processing capability and resource utilization, addressing the bottlenecks in existing multi-NDP key-value stores in applications with the requirements of large-scale data processing and low latency. To evaluate the performance of A+Store, the study, which appears in the latest issue of the Journal of Systems Architecture, compares A+Store to state-of-the-art key-value stores. Zhou and his colleagues also develop a tested toolkit using the real-world dataset OpenAlex, and study the performance of A+Store under realistic workloads. Experimental results show that A+Store demonstrates superior performance across all tests.
The long-awaited journal review being conducted by the Australian Business Deans Council (ABDC) has been released and there are a number of news items that relate to faculty in the Turner College. One of these is the ABDC's decision to now include Compensation and Benefits Review in its journal rankings. This is big news for the Turner College as its editor, Phil Bryant , is a professor of management in the Turner College. The ABDC is proposing that the journal enter its system for the first time as a C-rated journal. Acting Turner College Dean Tesa Leonce sits on the journal's editorial board, while Turner College management professor Mark James has guest-edited an issue of the journal. Published by SAGE, Compensation & Benefits Review is the leading journal for senior executives and professionals who design, implement, evaluate and communicate compensation and benefits policies and programs. The journal supports compensation and benefits specialists and academic ex...

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