The field of distributed systems and concurrency control is witnessing significant developments, with a focus on improving performance, scalability, and reliability. Researchers are exploring innovative approaches to optimize distributed locking mechanisms, achieving up to 68% better performance compared to traditional centralized locking methods. Additionally, there is a growing interest in designing efficient concurrency control mechanisms for modern distributed systems, including the use of modular batteries and distributed time synchronization techniques. Noteworthy papers in this area include: Distributed Locking: Performance Analysis and Optimization Strategies, which proposes novel optimizations for distributed locking that significantly reduce coordination overhead in geo-distributed deployments. TXSQL: Lock Optimizations Towards High Contented Workloads, which presents optimizations in lock management that achieve performance improvements of up to 6.5x and up to 22.3x compared to state-of-the-art methods and systems, respectively.
Advances in Distributed Systems and Concurrency Control
Sources
Distributed Locking: Performance Analysis and Optimization Strategies
Performance-Aware Control of Modular Batteries For Fast Frequency Response
Distributed Time Synchronization in NOMA-Assisted Ultra-Dense Networks
Age-of-information minimization under energy harvesting and non-stationary environment
Status Updating with Time Stamp Errors
Low-Complexity AoI-Optimal Status Update Control with Partial Battery State Information in Energy Harvesting IoT Networks
Fixing non-blocking data structures for better compatibility with memory reclamation schemes
Efficient Timestamping for Sampling-based Race Detection
TXSQL: Lock Optimizations Towards High Contented Workloads (Extended Version)
AWDIT: An Optimal Weak Database Isolation Tester
Efficient Storage Integrity in Adversarial Settings