Middleware for distributed industrial real-time systems on ATM networks

Mizunuma, I.; Shen, Chia; Takegaki, Morikazu

doi:10.1109/real.1996.563697

Cited by 16 publications

(3 citation statements)

References 17 publications

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“…This implementation makes the use of open off-the shelf machines and networks. For scheduling support they also have their implementations in the context of MidART [18], [ 19], a real time network middleware.…”

Section: Motivation and Related Workmentioning

confidence: 99%

Extended Level Real time Scheduling Framework: Using a generalized non-real time platform

Singhal

Kumar

Ghintala

et al. 2014

2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

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The feasible execution of real time tasks over a platform majorJy depends upon the scheduling policies to be used. Also, different task domains comply to different resource requirements. Allocating resources optimally according to the task requirements is a core challenge to the real time systems community. This paper discusses an approach where we leverage a generalized non-real time system to develop an integrated schedule for real time tasks by extending the control for resource allocation to the user level. A major advantage of this framework is that it does not involve any modifications to the underlying kernel code or the use of patches. In our framework, two levels of scheduling are maintained, where at the base level the task schedule is decided by the kernel internally, and at the extended level, the user determines a separate schedule. Both the schedules are maintained inside the kernel. Each schedule is preceded by a schedulability test which governs the feasibility of execution of the incoming task set.

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Section: Motivation and Related Workmentioning

confidence: 99%

Extended Level Real time Scheduling Framework: Using a generalized non-real time platform

Singhal

Kumar

Ghintala

et al. 2014

2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

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“…MidART [16] is a middleware designed to develop ATM LAN based distributed industrial plant monitoring and control systems. The middleware provides a set of industrial application specific, network independent, programming abstractions that support individual application Quality of Service requirements.…”

Section: Middleware For Logisitc and Automationmentioning

confidence: 99%

Enhancing traceability and industrial process automation through the VIRTUS middleware

Brizzi

Lotito

Ferrera

et al. 2011

Proceedings of the Middleware 2011 Industry Track Workshop

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Information and Communication Technologies (ICT) are considered a key instrument to improve efficiency and flexibility of industrial processes. This paper provides an experience report about the application of an ICT-based approach, derived from the Internet-of-Things (IoT) concept, to logistics in industrial manufacturing environments, aimed at enhancing awareness and control of logistic flows. The described solution performs assets management and inbound-outbound monitoring of goods by interconnecting business processes entities and devices providing physicalworld data through an existing IoT-oriented middleware named VIRTUS. The VIRTUS Middleware, based on the open XMPP standard protocol and leveraging the OSGi framework, provides a scalable, agile, event-driven, network independent tool to manage an ecosystem of heterogeneous interconnected objects. The described solution has been validated within an actual industrial environment made of geographically-separated production plants.

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“…Many middleware-based approaches support end-to-end resource management in distributed systems [19,20]. Prioritydriven preemptive scheduling, priority-based queuing of messages and some form of priority inheritance constitute the key features of these systems.…”

Section: Introductionmentioning

confidence: 99%

Distributed Resource Kernels: OS Support for End-To-End Resource Isolation

Lakshmanan

Rajkumar

2008

2008 IEEE Real-Time and Embedded Technology and Applications Symposium

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The notion of resource reservation for obtaining real-time scheduling guarantees and enforcement of resource usage has gained strong support in recent years. However, much work on resource reservation has primarily focused on single-processor systems. In this paper, we propose the distributed resource kernel framework to deploy distributed real-time applications with end-to-end timing constraints, and to efficiently enforce and monitor their usage. Modern distributed real-time systems host multiple applications, where each application can span two or more processors. Timing bugs in one distributed application can affect the timing properties of other applications in the system. Our framework introduces the abstraction of a distributed resource container as an isolated virtual operating environment for a distributed real-time application. We have implemented this framework by extending our open-source singlenode Linux/RK platform [15]. A deployment and monitoring tool called dMon is also provided. We evaluate the framework's ability to provide timing guarantees by stress-testing the system using the Distributed Hartstone benchmarks. An audio processing pipeline is then used to illustrate the temporal isolation support provided by the Distributed RK framework. The distributed container abstraction can also be extended in the future to support security and fault-tolerance attributes.

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Middleware for distributed industrial real-time systems on ATM networks

Cited by 16 publications

References 17 publications

Extended Level Real time Scheduling Framework: Using a generalized non-real time platform

Extended Level Real time Scheduling Framework: Using a generalized non-real time platform

Enhancing traceability and industrial process automation through the VIRTUS middleware

Distributed Resource Kernels: OS Support for End-To-End Resource Isolation

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