Data Corruption

About: Data Corruption is a research topic. Over the lifetime, 435 publications have been published within this topic receiving 6784 citations.

Preventing data corruption and single point of failure in a fault-tolerant memory

Abstract: According to an example, data corruption and single point of failure is prevented in a fault-tolerant memory fabric with multiple redundancy controllers by granting, by a parity media controller, a lock of a stripe to a redundancy controller to perform a sequence on the stripe. The lock may be broken in response to determining a failure of the redundancy controller prior to completing the sequence. In response to breaking the lock, the parity cacheline of the stripe may be flagged as invalid. Also, a journal may be updated to document the breaking of the lock.

Analisis hubungan kausalitas antara korupsi, pertumbuhan ekonomi , dan kemiskinan: 1suatu studi lintas negara

Abstract: The phenome non of high corruptionis a roblem that manyin developing countries. The Economic growt his expected reduce poverty and in comeine quality through the mechanism of trickle-down effect. The requirement for sustainable economic growth is to control the system of governance and equity. The objectives of the research are to improve understanding of the relationship between corruption, poverty, andeconomic growth based oncross-country data. The technique used panel data analysis with cross- country data. The main data sources are secondary data publication results. International country Risk Guide (ICRG), Business International (BI), Transparency International (TI), and World Bank.The analysis showed that: 1) Poverty isno impactoneconomicgrowth, 2) Corruptionhas no impacton economic growth, but economic growth give impacton corruption, 3) Poverty isno impacton corruption, and corruption had no impactonpoverty, 4)The combination of poverty and corruption have an impacton economic growth, 5) The combination of poverty and economic growth give impacton corruption. The advicecan be given, among others: 1) poverty and corruption need to beconsideredas animportant variable inforecastin geconomic growth in the future, 2) We recommend that in future research used data corruption that comesfrom th esame source to avoidbiased in terpretations, 3) In further research models can be augmented by including macroeconomic variables such as inflation, population, and education level as control variables. Keywords: Corruption, Economic Growth, Poverty, Causality

Inconsistencies in countries COVID-19 data revealed by Benford's law

Abstract: Reporting of daily new cases and deaths on COVID-19 is one of the main tools to understand and menage the pandemic. However, governments and health authorities worldwide present divergent procedures while registering and reporting their data. Most of the bias in those procedures are influenced by economic and political pressures and may lead to intentional or unintentional data corruption, what can mask crucial information. Benford's law is a statistical phenomenon, extensively used to detect data corruption in large data sets. Here, we used the Benford's law to screen and detect inconsistencies in data on daily new cases of COVID-19 reported by 80 countries. Data from 26 countries display severe nonconformity to the Benford's law (p< 0.01), what may suggest data corruption or manipulation. © 2021 - IOS Press. All rights reserved.

Non-volatile complement data cache

Abstract: The disclosed systems include features to mitigate a risk of data corruption attributable to unexpected power loss events. In particular, the disclosed system identifies and retrieves complement data associated with each received write command and stores the complement data in a non-volatile cache while the complement data is overwritten via execution of the write command.