Model driven middleware: A new paradigm for developing distributed real-time and embedded systems

Abstract

a b s t r a c tDistributed real-time and embedded (DRE) systems have become critical in domains such as avionics (e.g., flight mission computers), telecommunications (e.g., wireless phone services), tele-medicine (e.g., robotic surgery), and defense applications (e.g., total ship computing environments). These types of system are increasingly interconnected via wireless and wireline networks to form systems of systems. A challenging requirement for these DRE systems involves supporting a diverse set of quality of service (QoS) properties, such as predictable latency/jitter, throughput guarantees, scalability, 24x7 availability, dependability, and security that must be satisfied simultaneously in real-time. Although increasing portions of DRE systems are based on QoS-enabled commercial-off-the-shelf (COTS) hardware and software components, the complexity of managing long lifecycles (often ∼15-30 years) remains a key challenge for DRE developers and system integrators.For example, substantial time and effort is spent retrofitting DRE applications when the underlying COTS technology infrastructure changes.This paper provides two contributions that help improve the development, validation, and integration of DRE systems throughout their lifecycles. First, we illustrate the challenges in creating and deploying QoS-enabled component middleware-based DRE applications and describe our approach to resolving these challenges based on a new software paradigm called Model Driven Middleware (MDM), which combines modelbased software development techniques with QoS-enabled component middleware to address key challenges faced by developers of DRE systems -particularly composition, integration, and assured QoS for end-to-end operations. Second, we describe the structure and functionality of CoSMIC (Component Synthesis using Model Integrated Computing), which is an MDM toolsuite that addresses key DRE application and middleware lifecycle challenges, including partitioning the components to use distributed resources effectively, validating software configurations, assuring multiple simultaneous QoS properties in realtime, and safeguarding against rapidly changing technology.

Distributed and Managed: Research Challenges and Opportunities of the Next Generation Cyber-Physical Systems

“…Our previous work in modeling component-based systems includes the CoSMIC [9], [10] tool suite, which assists with the model-based development, configuration and deployment of CORBA Component Model-based applications. While DREMS is more extensive than CoSMIC and provides the ability to model elements like hardware and task schedules, experience from the CoSMIC project helped guide certain design aspects of component modeling inside DREMS.…”

Construction and Execution of Adaptable Applications Using an Aspect-Oriented and Model Driven Approach

“…There are examples of adaptive middleware platforms that are combined with software engineering tools; 2K Q+ [2], QuO [3], and CoSMIC [20]. 2K Q+ provides an environment for specifying alternative service compositions, their QoS characteristics, and adaptation steps.…”

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

“…Middleware systems can be adopted for general purposes, such as Message Passing Interface (MPI) (Forum, 1994), Java Remote Method Invocation (RMI) (Pitt and McNiff, 2001), Hazelcast (Veentjer, 2013), JBoss (Watson et al, 2005) and many others, but they can also be designed for a specific Almeida, A., Silva, S., Jr., A. and purpose, like gaming, mobile computing and realtime computing, for instance (Murphy et al, 2006;Gokhale et al, 2008;Tariq et al, 2014). They support a programming model based on shared memory, message passing or event based (Ghosh, 2014).…”