DDS is an Object Management Group (OMG) middleware standard that enables real-time data exchange between applications and devices. It is widely adopted in a range of industries, including aerospace and defense, industrial automation, and autonomous vehicles.

Your doctors can help you make a strong disability application by providing detailed medical records and referring you to specialists when appropriate. You can also ask them to prepare a medical source statement, which is a document that includes your doctor’s diagnosis and opinion of how severe your condition is.

Real-time data distribution

The Data Distribution Service (DDS) is a standardized machine-to-machine middleware software that helps developers build real-time communication layers for their applications. It offers a range of benefits, including high performance, scalability and extreme reliability for mission-critical systems.

DDS supports both publish-subscribe and peer-to-peer communication for a variety of real time applications. It is often used in industrial control systems and factory automation, enabling real-time exchange of sensor information and control commands. It is also used in autonomous vehicle development to distribute safety-critical information between vehicle components and external systems.

In order to facilitate real-time data distribution, DDS uses a broker-less architecture that allows applications to communicate with each other directly via topic objects. This model-driven approach to application programming simplifies the integration of DDS into existing and emerging technologies, such as 5G and edge computing. RTI Connext DDS provides a full set of security features, such as process separation; inter-domain bridging and secure routing; and message inspection/filtering, all with configurable policies.

Scalability

DDS supports real-time applications across a wide range of platforms, including CPU architectures, operating systems, compilers, and programming languages. DDS transparently mediates these differences, freeing your application from having to deal with issues like varying processor widths and endianness.

The publish/subscribe communication design pattern enables efficient delivery of data to multiple destinations, while decoupling applications in time and location. It also promotes modular application design and extensibility.

Fault isolation: Partitions separate participants and topics from one another, enabling communication between only those parts of the system that are configured to do so. This prevents a failure in a single partition from impacting the rest of the system, increasing fault tolerance and reducing complexity.

Scalable communication between smart machines and higher-level business systems requires high throughput, granular QoS, and content-aware filtering. A DDS solution can help meet these demands with a configurable connectivity path that lets high-volume, real-time control data stay local and WAN-based business data be delivered to remote systems over optimized connections.

Reliability

DDS provides a flexible, publish-subscribe middleware architecture with scalable and reliable data distribution. It enables applications to share data and collaborate over a decentralized network. It offers various levels of reliability, from best effort to synchronous, and supports a variety of discovery and operation policies.

DDS has gained significant traction in the context of real-time use cases, with multiple frameworks integrating it into their ecosystems. However, many implementations of DDS are not strictly real-time capable and do not provide hard timing guarantees to application developers.

The RELIABLE QoS policy kind specifies that Connext will make sure that DDS data samples sent are reliably received by DataReaders-buffering send data until it is acknowledged as being received and resending missed DDS data samples. This also sets the maximum time a write() call can block on a DataWriter; if a DDS sample is not acknowledged within the timeout (RESOURCE_LIMITS max_blocking_period) the next write() operation will return a failure (DDS_RETCODE_TIMEOUT). This option is recommended when HISTORY kind is set to KEEP_ALL and RELIABILITY is selected.

Security

Using DDS with standardized protocols and data models helps to ensure effective interoperability. This is especially important when integrating with legacy applications and IoT devices that operate on different platforms.

The DDS Security specification includes a number of plugin APIs that allow for additional protections beyond the base set provided by the Service Plugin Interface (SPI). The built-in Authentication plugin provides mechanisms to verify identities, including those of DomainParticipants. The Access Control plugin enforces policies on what operations an authenticated entity can perform. This includes rules on what topics to publish, subscribe to, and relay. The Cryptographic plugin implements all cryptography-related operations, including encryption, decryption, hashing, and digital signatures.

These plugins can also help protect against eavesdropping, preventing malicious outsiders from intercepting information on the DDS Databus. These attackers may be malicious applications outside your organization (like Eve or Mallory) or they could be legitimate applications in your system trying to perform actions that they are not authorized to do, such as tampering with data or replaying.