Results 31 to 40 of about 17,478,568 (370)

X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing

open access: yesSIGMOD Conference, 2019
Alibaba runs the largest e-commerce platform in the world serving more than 600 million customers, with a GMV (gross merchandise value) exceeding USD 768 billion in FY2018.
Gui Huang   +9 more
semanticscholar   +1 more source

Transaction Processing on Modern Hardware

open access: yesSynthesis Lectures on Data Management, 2019
The last decade has brought groundbreaking developments in transaction processing. This resurgence of an otherwise mature research area has spurred from the diminishing cost per GB of DRAM...
Mohammad Sadoghi, Spyros Blanas
semanticscholar   +1 more source

Throughput-oriented associated transaction assignment in sharding blockchains for IoT social data storage

open access: yesDigital Communications and Networks, 2022
Blockchain is a viable solution to provide data integrity for the enormous volume of 5G IoT social data, while we need to break through the throughput bottleneck of blockchain.
Liping Tao   +4 more
doaj  

Open Transactions on Shared Memory [PDF]

open access: yes, 2015
Transactional memory has arisen as a good way for solving many of the issues of lock-based programming. However, most implementations admit isolated transactions only, which are not adequate when we have to coordinate communicating processes. To this end, in this paper we present OCTM, an Haskell-like language with open transactions over shared ...
arxiv   +1 more source

NewSQL: Towards Next-Generation Scalable RDBMS for Online Transaction Processing (OLTP) for Big Data Management [PDF]

open access: yesarXiv.org, 2014
One of the key advances in resolving the big-data problem has been the emergence of an alternative database technology. Today, classic RDBMS are complemented by a rich set of alternative Data Management Systems (DMS) specially designed to handle the ...
A. Moniruzzaman
semanticscholar   +1 more source

Multiple sclerosis clinical decision support system based on projection to reference datasets

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1863-1873, December 2022., 2022
Abstract Objective Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on‐demand computational power to address the challenges of dynamically managing MS. Methods A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg‐interferon beta‐1a vs ...
Chadia Ed‐driouch   +13 more
wiley   +1 more source

EC-ElGamal and Genetic Algorithm-Based Enhancement for Lightweight Scalable Blockchain in IoT Domain

open access: yesIEEE Access, 2020
Security, data privacy and decentralization are significant challenges in the Internet of Things (IoT) domain. These challenges are inherited attribute of another emerging technology, Blockchain.
J. Guruprakash, Srinivas Koppu
doaj   +1 more source

Harp: optimization algorithm for cross-domain distributed transactions

open access: yes大数据, 2023
The paradigm of near-data computing has driven banks and securities firms to build multiple data centers globally or nationally.In the traditional business model, transactions focused on accessing data within a single data center.With the changing ...
Qiyu ZHUANG   +3 more
doaj  

Optimal investment in illiquid market with search frictions and transaction costs [PDF]

open access: yesarXiv, 2021
We consider an optimal investment problem to maximize expected utility of the terminal wealth, in an illiquid market with search frictions and transaction costs. In the market model, an investor's attempt of transaction is successful only at arrival times of a Poisson process, and the investor pays proportional transaction costs when the transaction is
arxiv  

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

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