Archive

In the modern world, two powerful forces are at absolute odds: system complexity is increasing while budgets are tightening. It seems clear that, in order to manage this state of affairs, we must look for new and different ways to do things rather than just making incremental improvements on the old ways. Data-centric middleware provides that opportunity by enabling a fundamental step forward in efficiency for designing, developing, and deploying next generation, distributed mission-critical systems.

Publication Year: 
2010

This whitepaper discusses why integrating modern systems requires a new modular, network-centric approach that relies only on standard APIs and protocols, provides stronger information-management services, and avoids historical problems of integrating complex, heterogeneous systems. The paper focuses on "real-world" systems, that is, systems that interact with the external physical world and must live within the constraints imposed by real-world physics.

Publication Year: 
2010

RTI has created a number of additional capabilities for its OMG Data Distribution Service (DDS) compliant middleware, specifically to address the challenges of constrained network communication. This paper discusses some sample network types and present solutions using RTI Data Distribution Service.

Publication Year: 
2011

Latency, or rumors of it, is a destructive force that can incapacitate a trading firm at any time. Markets are increasingly fragmented and reliant on multi-tasking applications and connectivity to unite them. The analysis of these disparate sources of liquidity is one of several challenges to traders of all stripes. Among those market participants aiming for first place, the ability to quickly process, analyze and react to the onslaught of data is a critical component of their competitive advantage.

Publication Year: 
2008

Securing RTI Data Distribution Service with Security Enhanced Linux (SELinux) provides a new level of security for applications and solutions created with the DDS standard. This white paper, written by Tresys Technology, a recognized leader in SELinux and Linux security services, provides technical details concerning leveraging SELinux to secure DDS applications. It explores how SELinux and Linux can be used to create solutions with RTI Data Distribution Service that meet the most stringent government security requirements.

Publication Year: 
2009

Reliable one-to-many communication is frequently prone to two serious problems in particular: (1) how to prevent a slow consumer from holding up the rest of the system, and (2) how to prevent massive amounts of negative acknowledgement (NACK) traffic from swamping the network. These problems are related to one another: both deal with the way in which a communications stack (network protocols combined with a middleware on top of them) maintains reliability across a logical network topology with broad fan-out.

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Publication Year: 
2009

Modern military operations rely on integration between many disparate systems for functions including command and control, weapons and self-defense. Developing and integrating these applications is particularly challenging because of their strict real-time performance constraints. Often, their latency and throughput requirements exceed the capabilities of traditional enterprise messaging and integration middleware.

Publication Year: 
2007

Increases in data volumes over the past few years have stretched current financial information backbones, resetting the technology challenges in a way that demands a new approach.

Publication Year: 
2007
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Are all real-time distributed applications supposed to be designed the same way? Is the design for a UAV-based application the same as that of a command-and-control application?

Publication Year: 
2008

This paper presents a comprehensive overview of the Data Distribution Service standard (DDS) and describes its benefits for developing robust precision assembly applications. DDS is a platform-independent standard released by the Object Management Group (OMG) for data-centric publish-subscribe systems. It allows decoupled applications to transfer information, regardless of what architecture, programming language or operating system they use.

Publication Year: 
2008

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