International audience

During the last decade, big data management has attracted increasing interest from both the industrial and academic communities. In parallel, Cyber Security has become mandatory due to various and more intensive threats. In June 2022, a group of researchers has met to reflect on their community’s impacts on current research challenges. In particular, they have considered four dimensions: (1) dedicated systems being data processing and analytic platforms or time series management systems; (2) graphs analytics and distributed computation; (3) privacy; and (4) new hardware.

DSDT is a proposed method for creating durable scripts which contain short ACID transactions as components. Workflow scripts are an example. The context of the script is made durable by writing a log record whenever an event occurs which cannot be replayed. Log checkpoints are used to minimize the recovery time. DSDT can be written in stand-alone mode, communicating with a DBMS by transactional remote procedure calls and maintaining its own logging system, or it can be made part of a DBMS by modifying the DBMS transaction manager source code. DSDT provides a panic button (signal-exit) and the ability to specify what action should be taken on restart after a system failure. The programmer can also specify actions, such as "compensation" transactions, to be taken after another signal (signal-cancel) arrives. DSDT enables most extended transaction models to be expressed in scripts modulo the guarantees of compensation. Recovery after system failure is shown to be correct.