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There are two intertwined factors that affect performance of concurrent data structures: the ability of processes to access the data in parallel and the cost of synchronization. It has been observed that for a large class of…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-10 Vitaly Aksenov , Petr Kuznetsov

Traditional approaches to replication require client requests to be ordered before making them durable by copying them to replicas. As a result, clients must wait for two round-trip times (RTTs) before updates complete. In this paper, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-30 Seo Jin Park , John Ousterhout

Priority queues are used in a wide range of applications, including prioritized online scheduling, discrete event simulation, and greedy algorithms. In parallel settings, classical priority queues often become a severe bottleneck, resulting…

Data Structures and Algorithms · Computer Science 2025-04-17 Marvin Williams , Peter Sanders

State-machine replication, a fundamental approach to fault tolerance, requires replicas to execute commands deterministically, which usually results in sequential execution of commands. Sequential execution limits performance and underuses…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-04-29 Parisa Jalili Marandi , Fernando Pedone

Transaction logging is an essential constituent to guarantee the atomicity and durability in online transaction processing (OLTP) systems. It always has a considerable impact on performance, especially in an in-memory database system.…

Databases · Computer Science 2019-01-23 H. Zhou , J. W. Guo , H. Q. Hu , W. N. Qian , X. Zhou , A. Y. Zhou

In this paper we are interested in bounding the number of instructions taken to process transactions. The main result is a multiversion transactional system that supports constant delay (extra instructions beyond running in isolation) for…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-17 Naama Ben-David , Guy E. Blelloch , Yihan Sun , Yuanhao Wei

Implementing a concurrent data structure typically begins with defining its sequential specification. However, when used \emph{as is}, a nontrivial sequential data structure, such as a linked list, a search tree, or a hash table, may expose…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-07 Vincent Gramoli , Petr Kuznetsov , Srivatsan Ravi

In competitive parallel computing, the identical copies of a code in a phase of a sequential program are assigned to processor cores and the result of the fastest core is adopted. In the literature, it is reported that a superlinear speedup…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-22 Naoki Yonezawa

We introduce Conflict-Aware Replicated Data Types (CARDs). CARDs are significantly more expressive than Conflict-free Replicated Data Types (CRDTs) as they support operations that can conflict with each other. Introducing conflicting…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-09-27 Nicholas V. Lewchenko , Arjun Radhakrishna , Akash Gaonkar , Pavol Černý

In this paper, we present STAR, a new distributed in-memory database with asymmetric replication. By employing a single-node non-partitioned architecture for some replicas and a partitioned architecture for other replicas, STAR is able to…

Databases · Computer Science 2019-07-23 Yi Lu , Xiangyao Yu , Samuel Madden

Read-only caches are widely used in cloud infrastructures to reduce access latency and load on backend databases. Operators view coherent caches as impractical at genuinely large scale and many client-facing caches are updated in an…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-15 Ittay Eyal , Ken Birman , Robbert van Renesse

For performance reasons, conventional DBMSes adopt monolithic architectures. A monolithic design cripples the adaptability of a DBMS, making it difficult to customize, to meet particular requirements of different applications. In this…

Databases · Computer Science 2019-02-05 Ningnan Zhou , Xuan Zhou , Kian-lee Tan , Shan Wang

Deferred update replication (DUR) is an established approach to implementing highly efficient and available storage. While the throughput of read-only transactions scales linearly with the number of deployed replicas in DUR, the throughput…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-12-04 Leandro Pacheco , Daniele Sciascia , Fernando Pedone

Priority queues are abstract data structures which store a set of key/value pairs and allow efficient access to the item with the minimal (maximal) key. Such queues are an important element in various areas of computer science such as…

Data Structures and Algorithms · Computer Science 2015-09-24 Jakob Gruber

Consistency in data storage systems requires any read operation to return the most recent written version of the content. In replicated storage systems, consistency comes at the price of delay due to large-scale write and read operations.…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-04-04 Jing Zhong , Roy D. Yates , Emina Soljanin

Cloud computing has recently emerged as a key technology to provide individuals and companies with access to remote computing and storage infrastructures. In order to achieve highly-available yet high-performing services, cloud data stores…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-08-10 Álvaro García-Recuero , Sérgio Esteves , Luís Veiga

Efficient implementations of concurrent objects such as atomic collections are essential to modern computing. Programming such objects is error prone: in minimizing the synchronization overhead between concurrent object invocations, one…

Programming Languages · Computer Science 2017-07-04 Ahmed Bouajjani , Constantin Enea , Chao Wang

In order to increase availability in a distributed system some or all of the data items are replicated and stored at separate sites. This is an issue of key concern especially since there is such a proliferation of wireless technologies and…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-06-11 Joel M. Crichlow , Stephen J. Hartley , Michael Hosein

The emergence of blockchain technology has renewed the interest in consensus-based data management systems that are resilient to failures. To maximize the throughput of these systems, we have recently seen several prototype consensus…

Databases · Computer Science 2023-12-22 Dakai Kang , Sajjad Rahnama , Jelle Hellings , Mohammad Sadoghi

Work-stealing is a widely used technique for balancing irregular parallel workloads, and most modern runtime systems adopt lock-free work-stealing deques to reduce contention and improve scalability. However, existing algorithms are…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-09 Raja Sai Nandhan Yadav Kataru , Danial Davarnia , Ali Jannesari