A new approach for global synchronization in hierarchical scheduled real-time systems

We present our ongoing work to improve an existing synchronization protocol SIRAP for hierarchically scheduled real-time systems. A less pessimistic schedulability analysis is presented which can make the SIRAP protocol more efficient in terms of calculated CPU resource needs. In addition and for the same reason, an extended version of SIRAP is proposed, which decreases the interference from lower priority tasks. The new version of SIRAP has the potential to make the protocol more resource efficient than the original one

Schedulability analysis of synchronization protocols based on overrun without payback for hierarchical scheduling frameworks revisited

In this paper, we revisit global as well as local schedulability analysis of synchronization protocols based on the stack resource policy (SRP) and overrun without payback for hierarchical scheduling frameworks based on fixed-priority preemptive scheduling (FPPS). We show that both the existing global and local schedulability analysis are pessimistic, present improved analysis, and illustrate the improvements by means of examples

Hierarchical Scheduling for Real-Time Periodic Tasks in Symmetric Multiprocessing

In this paper, we present a new hierarchical scheduling framework for periodic tasks in symmetric multiprocessor (SMP) platforms. Partitioned and global scheduling are the two main approaches used by SMP based systems where global scheduling is recommended for overall performance and partitioned scheduling is recommended for hard real-time performance. Our approach combines both the global and partitioned approaches of traditional SMP-based schedulers to provide hard real-time performance guarantees for critical tasks and improved response times for soft real-time tasks. Implemented as part of VxWorks, the results are confirmed using a real-time benchmark application, where response times were improved for soft real-time tasks while still providing hard real-time performance

Real-time system overheads : a literature overview

In most contemporary systems there are several jobs concurrently competing for shared resources, such as a processor, memory, network, sensors or other devices. Sharing a resource between several jobs requires synchronizing the jobs, specifying when which job will have access to the resource. A common synchronization method is scheduling. Executing a schedule requires switching resource assignments between the jobs, which is usually referred to as context switching. The overheads associated with scheduling and context switching are part of the system overheads. Initially, in the spirit of keeping things simple, real-time systems analysis abstracted from many details, including the overheads incurred by the operating system. This has led to inherently opti-mistic results, i.e. accepting collections of jobs, which if executed on a real system will fail to meet all the constraints. In this paper we consider a less idealized platform by taking some practical aspects into account. We present an overview of literature dealing with real-time system overheads, in particular the scheduling and context switch overheads. We focus on sharing a single timely resource, such as a processor, in the context of Fixed Priority Preemptive Scheduling. We treat in detail the overhead

Compositional Schedulability Analysis of Hierarchical Real-Time Systems

Embedded systems are complex as a whole but consist of smaller independent modules interacting with each other. This structure makes them amenable to compositional design. Real-time embedded systems consist of realtime workloads having deadlines. Compositional design of such systems can be done using real-time components arranged in a scheduling hierarchy. Each component consists of some real-time workload and a scheduling policy for the workload. To simplify schedulability analysis for such systems, analysis should be done compositionally using interfaces that abstract timing requirement of components. To facilitate analysis of dynamically changing systems, the framework should also support incremental analysis. In this paper, we overview our approach to compositional and incremental schedulability analysis of hierarchical real-time systems. We describe a compositional analysis technique that abstracts resource requirement of components using periodic resource models. To support incremental analysis and resource bandwidth minimization, we describe an extension to this interface model. Each extended interface consists of multiple periodic resource models for different periods. This allows the selection of a periodic model that can schedule the system using minimum bandwidth. We also account for context switch overhead of components in these extended interfaces. We then describe an associative composition technique for such interfaces, that supports incremental analysis

Extending a HSF-enabled open-source real-time operating system with resource sharing

Hierarchical scheduling frameworks (HSFs) provide means for composing complex real-time systems from well-defined, independently analyzed subsystems. To support resource sharing within two-level, fixed priority scheduled HSFs, two synchronization protocols based on the stack resource policy (SRP) have recently been presented, i.e. HSRP [1] and SIRAP [2]. This paper describes an implementation to provide such HSFs with SRP-based synchronization protocols. We base our implementations on the commercially available real-time operating system µC/OS-II, extended with proprietary support for periodic tasks, idling periodic servers and two-level fixed priority preemptive scheduling. Specifically, we show the implementation of SRP as a local synchronization protocol, and present the implementation of both HSRP and SIRAP. Moreover, we investigate the system overhead induced by the synchronization primitives of each protocol. Our aim is that these protocols can be used side-by-side within the same HSF, so that their primitives can be selected based on the protocol’s relative strengths

Extending a HSF-enabled open-source real-time operating system with resource sharing

Hierarchical scheduling frameworks (HSFs) provide means for composing complex real-time systems from well-defined, independently analyzed subsystems. To support resource sharing within two-level, fixed priority scheduled HSFs, two synchronization protocols based on the stack resource policy (SRP) have recently been presented, i.e. HSRP [1] and SIRAP [2]. This paper describes an implementation to provide such HSFs with SRP-based synchronization protocols. We base our implementations on the commercially available real-time operating system µC/OS-II, extended with proprietary support for periodic tasks, idling periodic servers and two-level fixed priority preemptive scheduling. Specifically, we show the implementation of SRP as a local synchronization protocol, and present the implementation of both HSRP and SIRAP. Moreover, we investigate the system overhead induced by the synchronization primitives of each protocol. Our aim is that these protocols can be used side-by-side within the same HSF, so that their primitives can be selected based on the protocol’s relative strengths

Schedulability Analysis for Certification-friendly Multicore Systems

This paper presents a new schedulability test for safety-critical software undergoing a transition from single-core to multicore systems - a challenge faced by multiple industries today. Our migration model, consisting of a schedulability test and execution model, is distinguished by three aspects consistent with reducing transition cost. First, it assumes externally-driven scheduling parameters, such as periods and deadlines, remain fixed (and thus known), whereas exact computation times are not. Second, it adopts a globally synchronized conflict-free I/O model that leads to a decoupling between cores, simplifying the schedulability analysis. Third, it employs global priority assignment across all tasks on each core, irrespective of application, where budget constraints on each application ensure isolation. These properties enable us to obtain a utilization bound that places an allowable limit on total task execution times. Evaluation results demonstrate the advantages of our scheduling model over competing resource partitioning approaches, such as Periodic Server and TDMA.Ope