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NoSQL databases are widely used in modern applications due to their scalability and schema flexibility, yet they often rely on eventual consistency models that limit reliable transaction processing. This study proposes a four-stage…

Databases · Computer Science 2026-02-03 Adam A. E. Alflahi , Mohammed A. Y. Mohammed , Abdallah Alsammani

Sharding is used to address the performance and scalability issues of the blockchain protocols, which divides the overall transaction processing costs among multiple clusters of nodes. Shards require less storage capacity and communication…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-31 Ramesh Adhikari , Costas Busch

Increasing resource demands require relational databases to scale. While relational databases are well suited for vertical scaling, specialized hardware can be expensive. Conversely, emerging NewSQL and NoSQL data stores are designed to…

Databases · Computer Science 2017-10-06 Ashish Tapdiya , Yuan Xue , Daniel Fabbri

Sharding has shown great potential to scale out blockchains. It divides nodes into smaller groups which allow for partial transaction processing, relaying and storage. Hence, instead of running one blockchain, we will run multiple…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-10-11 Pourya Soltani , Farid Ashtiani

Scalability is one of the main roadblocks to business adoption of blockchain systems. Despite recent intensive research on using sharding techniques to enhance the scalability of blockchain systems, existing solutions do not efficiently…

Databases · Computer Science 2020-02-18 Mohammad Javad Amiri , Divyakant Agrawal , Amr El Abbadi

Existing blockchain systems scale poorly because of their distributed consensus protocols. Current attempts at improving blockchain scalability are limited to cryptocurrency. Scaling blockchain systems under general workloads (i.e.,…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-13 Hung Dang , Tien Tuan Anh Dinh , Dumitrel Loghin , Ee-Chien Chang , Qian Lin , Beng Chin Ooi

A major challenge in blockchain sharding protocols is that more than 95% transactions are cross-shard. Not only those cross-shard transactions degrade the system throughput but also double the confirmation time, and exhaust an already…

Cryptography and Security · Computer Science 2021-10-19 Lan N. Nguyen , Truc Nguyen , Thang N. Dinh , My T. Thai

Sharding is a promising technique for addressing the scalability issues of blockchain, and this technique is especially important for IoT, edge, or mobile computing. It divides the $n$ participating nodes into $s$ disjoint groups called…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-20 Ramesh Adhikari , Costas Busch , Miroslav Popovic

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

We present SSS, a scalable transactional key-value store deploying a novel distributed concurrency control that provides external consistency for all transactions, never aborts read-only transactions due to concurrency, all without…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-15 Masoomeh Javidi Kishi , Sebastiano Peluso , Hank Korth , Roberto Palmieri

Public blockchains are decentralized networks where each participating node executes the same decision-making process. This form of decentralization does not scale well because the same data are stored on each network node, and because all…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-30 M. Toulouse , H. K. Dai , Q. L. Nguyen

In blockchain sharding, $n$ processing nodes are divided into $s$ shards, and each shard processes transactions in parallel. A key challenge in such a system is to ensure system stability for any ``tractable'' pattern of generated…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-03 Ramesh Adhikari , Costas Busch , Dariusz R. Kowalski

Sharding is a technique to speed up transaction processing in blockchains, where the $n$ processing nodes in the blockchain are divided into $s$ disjoint groups (shards) that can process transactions in parallel. We study dynamic scheduling…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-14 Ramesh Adhikari , Costas Busch , Miroslav Popovic

Transactions can simplify distributed applications by hiding data distribution, concurrency, and failures from the application developer. Ideally the developer would see the abstraction of a single large machine that runs transactions…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-26 Alex Shamis , Matthew Renzelmann , Stanko Novakovic , Georgios Chatzopoulos , Anders T. Gjerdrum , Dan Alistarh , Aleksandar Dragojevic , Dushyanth Narayanan , Miguel Castro

MongoDB is a popular general-purpose, document-oriented, distributed NoSQL database. It supports transactions in three different deployments: single-document transactions utilizing the WiredTiger storage engine in a standalone node,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-17 Hongrong Ouyang , Hengfeng Wei , Yu Huang , Haixiang Li , Anqun Pan

Sharding is a promising blockchain scaling solution. But it currently suffers from high latency and low throughput when it comes to cross-shard transactions, i.e., transactions that require coordination from multiple shards. The root cause…

Cryptography and Security · Computer Science 2021-02-01 Sourav Das , Vinith Krishnan , Ling Ren

Sharding is used to improve the scalability and performance of blockchain systems. We investigate the stability of blockchain sharding, where transactions are continuously generated by an adversarial model. The system consists of $n$…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-23 Ramesh Adhikari , Costas Busch , Dariusz R. Kowalski

A database system optimized for in-memory storage can support much higher transaction rates than current systems. However, standard concurrency control methods used today do not scale to the high transaction rates achievable by such…

Databases · Computer Science 2012-01-04 Per-Åke Larson , Spyros Blanas , Cristian Diaconu , Craig Freedman , Jignesh M. Patel , Mike Zwilling

Decentralized crypto-currencies based on the blockchain architecture under-utilize available network bandwidth, making them unable to scale to thousands of transactions per second. We define the Blockclique architecture, that addresses this…

Cryptography and Security · Computer Science 2020-02-11 Sébastien Forestier , Damir Vodenicarevic , Adrien Laversanne-Finot

Sharding has emerged as a key technique to address blockchain scalability by partitioning the ledger into multiple shards that process transactions in parallel. Although this approach improves throughput, static or heuristic shard…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-26 M. Zeeshan Haider , Tayyaba Noreen , M. D. Assuncao , Kaiwen Zhang
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