The PURE family of object-oriented operating systems for deeply embedded systems

Beuche, Danilo; Guerrouat, Abdulaziz; Papajewski, Holger; Schröder-Preikschat, Wolfgang; Spinczyk, Olaf; Spinczyk, Ute

doi:10.1109/isorc.1999.776349

Cited by 36 publications

(29 citation statements)

References 14 publications

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“…Many of these systems use heavyweight composition mechanisms, such as COM or CORBA, and several support runtime component instantiation or interpositioning. PURE [6], eCos [66], and icWORKSHOP [35] more closely match TinyOS's goal of lightweight, static composition. These systems consist of a set of components that are wired together (either manually or using a composition tool) to form an application.…”

Section: Related Workmentioning

confidence: 99%

TinyOS: An Operating System for Sensor Networks

Levis

Madden

Polastre

et al.

Ambient Intelligence

1,094

723

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Abstract. We present TinyOS, a flexible, application-specific operating system for sensor networks, which form a core component of ambient intelligence systems. Sensor networks consist of (potentially) thousands of tiny, low-power nodes, each of which execute concurrent, reactive programs that must operate with severe memory and power constraints. The sensor network challenges of limited resources, event-centric concurrent applications, and low-power operation drive the design of TinyOS. Our solution combines flexible, fine-grain components with an execution model that supports complex yet safe concurrent operations. TinyOS meets these challenges well and has become the platform of choice for sensor network research; it is in use by over a hundred groups worldwide, and supports a broad range of applications and research topics. We provide a qualitative and quantitative evaluation of the system, showing that it supports complex, concurrent programs with very low memory requirements (many applications fit within 16KB of memory, and the core OS is 400 bytes) and efficient, low-power operation. We present our experiences with TinyOS as a platform for sensor network innovation and applications.

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Section: Related Workmentioning

confidence: 99%

TinyOS: An Operating System for Sensor Networks

Levis

Madden

Polastre

et al.

Ambient Intelligence

1,094

723

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show abstract

“…4 But indirectly there may be cases where the changes made have strange effects in this regard. Assume function f x gets specialized, which then propagates downward because the new implementation of f x may perform even better if function f z , called by f x , is specialized too (but, maybe, in a different fashion than f x ).…”

Section: Vertical Changesmentioning

confidence: 99%

Dimensions of variability in embedded operating systems

Schröder-Preikschat

Lohmann

Scheler

et al. 2007

Informatik Forsch. Entw.

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Design, implementation, and re-engineering of operating systems are still an ambitious undertaking. Despite, or even because, of the long history of theory and practice in this field, adapting existing systems to environments of different conditions and requirements as originally specified or assumed, in terms of functional and/or non-functional respects, is anything but simple. Especially this is true for the embedded systems domain which, on the one hand, calls for highly specialized and application-aware system abstractions and, on the other hand, cares a great deal for easily reusable implementations of these abstractions. The latter aspect becomes more and more important as embedded systems technology is faced with an innovation cycle decreasing in length. Software for embedded systems needs to be designed for variability, and this is in particular true for the operating systems of this domain. The paper discusses dimensions of variability that need to be considered in the

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“…As a matter of fact, it is impossible to proof that the design and implementation of some software is optimal with respect to runtime resource requirements. The authors have, however, profound experience in developing resource-minimal object-oriented product lines [11,10,34]. There is, furthermore, quite some evidence that any OO version would lead to higher memory requirements than the AO version: As pointed out in the previous sections, runtime mechanisms have to be used with OO to reach the required flexibility which, as described in sections 3.5 and 4, induce overhead.…”

Section: Design Issuesmentioning

confidence: 99%

Lean and Efficient System Software Product Lines: Where Aspects Beat Objects

Lohmann

Spinczyk

Schröder-Preikschat

2006

Lecture Notes in Computer Science

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Abstract. Software development in the domain of embedded and deeply embedded systems is dominated by cost pressure and extremely limited hardware resources. As a result, modern concepts for separation of concerns and software reuse are widely ignored, as developers worry about the thereby induced memory and performance overhead. Especially object-oriented programming (OOP) is still little in demand. For the development of highly configurable fine-grained system software product lines, however, separation of concerns (SoC) is a crucial property. As the overhead of object-orientation is not acceptable in this domain, we propose aspect-oriented programming (AOP) as an alternative. Compared to OOP, AOP makes it possible to reach similar or even better separation of concerns with significantly smaller memory footprints. In a case study for an embedded system product line the memory costs for SoC could be reduced from 148-236% to 2-10% by using AOP instead of OOP.

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The PURE family of object-oriented operating systems for deeply embedded systems

Cited by 36 publications

References 14 publications

TinyOS: An Operating System for Sensor Networks

TinyOS: An Operating System for Sensor Networks

Dimensions of variability in embedded operating systems

Lean and Efficient System Software Product Lines: Where Aspects Beat Objects

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