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Context: Concurrent objects with asynchronous messaging are an increasingly popular way to structure highly available, high performance, large-scale software systems. To ensure data-consistency and support synchronization between objects…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-11 Tim Soethout , Tijs van der Storm , Jurgen Vinju

Atomic commit protocols are used where data integrity is more important than data availability. Two-Phase commit (2PC) is a standard commit protocol for commercial database management systems. To reduce certain drawbacks in 2PC protocol…

Databases · Computer Science 2011-05-31 Muhammad Tayyab Shahzad , Muhammad Rizwan

Modern distributed databases face challenges in achieving transactional consistency across distributed partitions. Traditional two-phase commit (2PC) protocols incur high coordination overhead and latency, and require complex recovery for…

Databases · Computer Science 2026-03-03 Quanqing Xu , Chen Qian , Chuanhui Yang , Fanyu Kong , Guixiang Liu , Fusheng Han , Zixiang Zhai

Two-phase-commit (2PC) has been widely adopted for distributed transaction processing, but it also jeopardizes throughput by introducing two rounds of network communications and two durable log writes to a transaction's critical path.…

Databases · Computer Science 2023-03-02 Ziliang Lai , Hua Fan , Wenchao Zhou , Zhanfeng Ma , Xiang Peng , Feifei Li , Eric Lo

In a geo-distributed database, data shards and their respective replicas are deployed in distinct datacenters across multiple regions, enabling regional-level disaster recovery and the ability to serve global users locally. However,…

Databases · Computer Science 2025-01-23 Zihao Zhang , Huiqi Hu , Xuan Zhou , Yaofeng Tu , Weining Qian , Aoying Zhou

Consensus protocols are the foundation for building fault-tolerant, distributed systems, and services. They are also widely acknowledged as performance bottlenecks. Several recent systems have proposed accelerating these protocols using the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-28 Huynh Tu Dang , Pietro Bressana , Han Wang , Ki Suh Lee , Noa Zilberman , Hakim Weatherspoon , Marco Canini , Fernando Pedone , Robert Soulé

In distributed transaction processing, atomic commit protocol (ACP) is used to ensure database consistency. With the use of commodity compute nodes and networks, failures such as system crashes and network partitioning are common. It is…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-03 Hexiang Pan , Quang-Trung Ta , Meihui Zhang , Yeow Meng Chee , Gang Chen , Beng Chin Ooi

Disaggregated memory (DM) separates compute and memory resources, allowing flexible scaling to achieve high resource utilization. To ensure atomic and consistent data access on DM, distributed transaction systems have been adapted, where…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-19 Zhisheng Hu , Pengfei Zuo , Junliang Hu , Yizou Chen , Yingjia Wang , Ming-Chang Yang

Many distributed systems require coordination between the components involved. With the steady growth of such systems, the probability of failures increases, which necessitates scalable fault-tolerant agreement protocols. The most common…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-04-24 Marius Poke , Torsten Hoefler , Colin W. Glass

The distributed transaction commit problem requires reaching agreement on whether a transaction is committed or aborted. The classic Two-Phase Commit protocol blocks if the coordinator fails. Fault-tolerant consensus algorithms also reach…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Jim Gray , Leslie Lamport

Efficient LLM inference is critical for real-world applications, especially within heterogeneous GPU clusters commonly found in organizations and on-premise datacenters as GPU architecture rapidly evolves. Current disaggregated prefill…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-23 Yunzhao Liu , Qiang Xu , Y. Charlie Hu

This extended report presents DDS, a novel disaggregated storage architecture enabled by emerging networking hardware, namely DPUs (Data Processing Units). DPUs can optimize the latency and CPU consumption of disaggregated storage servers.…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-29 Qizhen Zhang , Philip Bernstein , Badrish Chandramouli , Jiasheng Hu , Yiming Zheng

Existing disaggregated databases separate execution and storage layers, enabling independent and elastic scaling of resources. In most cases, this design makes transaction concurrency control (CC) a critical bottleneck, which demands…

Databases · Computer Science 2026-03-17 Weixing Zhou , Yanfeng Zhang , Xinji Zhou , Zhiyou Wang , Zeshun Peng , Yang Ren , Sihao Li , Huanchen Zhang , Guoliang Li , Ge Yu

Distributed protocols such as 2PC and Paxos lie at the core of many systems in the cloud, but standard implementations do not scale. New scalable distributed protocols are developed through careful analysis and rewrites, but this process is…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-08 David Chu , Rithvik Panchapakesan , Shadaj Laddad , Lucky Katahanas , Chris Liu , Kaushik Shivakumar , Natacha Crooks , Joseph M. Hellerstein , Heidi Howard

This paper presents a novel approach to handle the computational complexity in security-constrained unit commitment (SCUC) with corrective network reconfiguration (CNR) to harness the flexibility in transmission networks. This is achieved…

Optimization and Control · Mathematics 2020-07-21 Arun Venkatesh Ramesh , Xingpeng Li , Kory W. Hedman

Highly-available datastores are widely deployed for online applications. However, many online applications are not contented with the simple data access interface currently provided by highly-available datastores. Distributed transaction…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-01-12 Yuqing Zhu , Philip S. Yu , Guolei Yi , Wenlong Ma , Mengying Guo , Jianxun Liu

Although significant recent progress has been made in improving the multi-core scalability of high throughput transactional database systems, modern systems still fail to achieve scalable throughput for workloads involving frequent access…

Databases · Computer Science 2016-01-06 Kun Ren , Jose M. Faleiro , Daniel J. Abadi

A conventional data center that consists of monolithic-servers is confronted with limitations including lack of operational flexibility, low resource utilization, low maintainability, etc. Resource disaggregation is a promising solution to…

Operating Systems · Computer Science 2020-10-27 Ryousei Takano , Kuniyasu Suzaki

Two-phase locking (2PL) is a fundamental and widely used concurrency control protocol. It regulates concurrent access to database data by following a specific sequence of acquiring and releasing locks during transaction execution, thereby…

Atomic Commit Problem (ACP) is a single-shot agreement problem similar to consensus, meant to model the properties of transaction commit protocols in fault-prone distributed systems. We argue that ACP is too restrictive to capture the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-13 Gregory Chockler , Alexey Gotsman
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